merge: fix article .md lookup + lighter editor

Two fixes:
- _find_article_md() scans _ARTICLES_DIR for files whose frontmatter
  slug matches, so padel-halle-bauen-de.md is found for slug
  'padel-halle-bauen'. The previous exact-name lookup missed any file
  where the filename ≠ slug (e.g. {slug}-{lang}.md naming convention).
- Editor pane: replace dark navy background with warm off-white (#FEFDFB)
  and dark text so it reads like a document, not a code editor.

.env.dev.sops

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 sops_unencrypted_suffix=_unencrypted
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.env.prod.sops

@@ -42,8 +42,8 @@ SUPERVISOR_GIT_PULL=ENC[AES256_GCM,data:mg==,iv:KgqMVYj12FjOzWxtA1T0r0pqCDJ6MtHz
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 GSC_SERVICE_ACCOUNT_PATH=ENC[AES256_GCM,data:Vki6yHk+gd4n,iv:rxzKvwrGnAkLcpS41EZ097E87NrIpNZGFfl4iXFvr40=,tag:EZkBJpCq5rSpKYVC4H3JHQ==,type:str]
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@@ -52,13 +52,18 @@ BING_SITE_URL=ENC[AES256_GCM,data:M33VI97DyxH8gRR3ZUXoXg4QrEv5og==,iv:GxZtwfbBVi
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.gitlab-ci.yml

@@ -1,31 +0,0 @@
-stages:
-  - test
-  - tag
-
-test:
-  stage: test
-  image: python:3.12-slim
-  before_script:
-    - pip install uv
-  script:
-    - uv sync
-    - uv run pytest web/tests/ -x -q -p no:faulthandler
-    - uv run ruff check web/src/ web/tests/
-  rules:
-    - if: $CI_COMMIT_BRANCH == "master"
-    - if: $CI_PIPELINE_SOURCE == "merge_request_event"
-
-tag:
-  stage: tag
-  image:
-    name: alpine/git
-    entrypoint: [""]
-  script:
-    - git tag "v${CI_PIPELINE_IID}"
-    - git push "https://gitlab-ci-token:${CI_JOB_TOKEN}@${CI_SERVER_HOST}/${CI_PROJECT_PATH}.git" "v${CI_PIPELINE_IID}"
-  rules:
-    - if: $CI_COMMIT_BRANCH == "master"
-
-# Deployment is handled by the on-server supervisor (src/padelnomics/supervisor.py).
-# It polls git every 60s, fetches tags, and deploys only when a new passing tag exists.
-# No CI secrets needed — zero SSH keys, zero deploy credentials.

CHANGELOG.md

@@ -6,10 +6,36 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
 
 ## [Unreleased]
 
+### Changed
+- **Semantic compression pass** — applied Casey Muratori's compression workflow (write concrete → observe patterns → compress genuine repetitions) across all three packages. Net result: ~200 lines removed, codebase simpler.
+  - **`count_where()` helper** (`web/core.py`): compresses the `fetch_one("SELECT COUNT(*) ...") + null-check` pattern. Applied across 30+ call sites in admin, suppliers, directory, dashboard, public, and planner routes. Dashboard stats function shrinks from 75 to 25 lines.
+  - **`_forward_lead()` helper** (`web/admin/routes.py`): extracts shared DB logic from `lead_forward` and `lead_forward_htmx` — both routes now call the helper and differ only in response format.
+  - **SQLMesh macros** (`transform/macros/__init__.py`): 5 new macros compress repeated country code patterns across 7 SQL models: `@country_name`, `@country_slug`, `@normalize_eurostat_country`, `@normalize_eurostat_nuts`, `@infer_country_from_coords`.
+  - **Extract helpers** (`extract/utils.py`): `skip_if_current()` compresses cursor-check + early-return pattern (3 extractors); `write_jsonl_atomic()` compresses working-file → JSONL → compress pattern (2 extractors).
+- **Coding philosophy updated** (`~/.claude/coding_philosophy.md`): added `<compression>` section documenting the workflow, the test ("Did this abstraction make the total codebase smaller?"), and distinction from premature DRY.
+- **Test suite compression pass** — applied same compression workflow to `web/tests/` (30 files, 13,949 lines). Net result: -197 lines across 11 files.
+  - **`admin_client` fixture** lifted from 7 duplicate definitions into `conftest.py`.
+  - **`mock_send_email` fixture** added to `conftest.py`, replacing 60 inline `with patch("padelnomics.worker.send_email", ...)` blocks across `test_emails.py` (51), `test_waitlist.py` (4), `test_businessplan.py` (2). Each refactored test drops one indentation level.
+
 ### Fixed
+- **Admin: empty confirm dialog on auto-poll** — `htmx:confirm` handler now guards with `if (!evt.detail.question) return` so auto-poll requests (`hx-trigger="every 5s"`, no `hx-confirm` attribute) no longer trigger an empty dialog every 5 seconds.
+
+### Changed
+- **Admin: styled confirm dialog for all destructive actions** — replaced all native `window.confirm()` calls with the existing `#confirm-dialog` styled `<dialog>`. A new global `htmx:confirm` handler intercepts HTMX confirmation prompts and shows the dialog; form-submit buttons on affiliate pages were updated to use `confirmAction()`. Affected: pipeline Transform tab (Run Transform, Run Export, Run Full Pipeline), pipeline Overview tab (Run extractor), affiliate product delete, affiliate program delete (both form and list variants).
+- **Pipeline tabs: no scrollbar** — added `scrollbar-width: none` and `::-webkit-scrollbar { display: none }` to `.pipeline-tabs` to suppress the spurious horizontal scrollbar on narrow viewports.
+
+### Fixed
+- **Stale-tier failures no longer exhaust the next proxy tier** — with parallel workers, threads that fetched a proxy just before tier escalation reported failures after the tier changed, immediately blowing through the new tier's circuit breaker before it ever got tried (Rayobyte was skipped entirely). `record_failure(proxy_url)` now checks which tier the proxy belongs to and ignores the circuit breaker when the proxy is from an already-escalated tier.
+
 - **Proxy URL scheme validation in `load_proxy_tiers()`** — URLs in `PROXY_URLS_DATACENTER` / `PROXY_URLS_RESIDENTIAL` that are missing an `http://` or `https://` scheme are now logged as a warning and skipped, rather than being passed through and causing SSL handshake failures or connection errors at request time. Also fixed a missing `http://` prefix in the dev `.env` `PROXY_URLS_DATACENTER` entry.
 
 ### Changed
+- **Unified confirm dialog — pure HTMX `hx-confirm` + `<form method="dialog">`** — eliminated the `confirmAction()` JS function and the duplicate `cloneNode` hack. All confirmation prompts now go through a single `showConfirm()` Promise-based function called by the `htmx:confirm` interceptor. The dialog HTML uses `<form method="dialog">` for native close semantics (`returnValue` is `"ok"` or `"cancel"`), removing the need to clone and replace buttons on every invocation. All 12 Padelnomics call sites converted from `onclick=confirmAction(...)` to `hx-boost="true"` + `hx-confirm="..."` on the submit button. Pipeline trigger endpoints updated to treat `HX-Boosted: true` requests as non-HTMX (returning a redirect rather than an inline partial) so boosted form submissions flow through the normal redirect cycle. Same changes applied to BeanFlows and the quart-saas-boilerplate template.
+  - `web/src/padelnomics/admin/templates/admin/base_admin.html`: replaced dialog `<div>` with `<form method="dialog">`, replaced `confirmAction()` + inline `htmx:confirm` handler with unified `showConfirm()` + single `htmx:confirm` listener
+  - `web/src/padelnomics/admin/pipeline_routes.py`: `pipeline_trigger_extract` and `pipeline_trigger_transform` now exclude `HX-Boosted: true` from the HTMX partial path
+  - 12 templates updated: `pipeline.html`, `partials/pipeline_extractions.html`, `affiliate_form.html`, `affiliate_program_form.html`, `partials/affiliate_program_results.html`, `partials/affiliate_row.html`, `generate_form.html`, `articles.html`, `audience_contacts.html`, `template_detail.html`, `partials/scenario_results.html`
+  - Same changes mirrored to BeanFlows and quart-saas-boilerplate template
+
 - **Per-proxy dead tracking in tiered cycler** — `make_tiered_cycler` now accepts a `proxy_failure_limit` parameter (default 3). Individual proxies that hit the limit are marked dead and permanently skipped by `next_proxy()`. If all proxies in the active tier are dead, `next_proxy()` auto-escalates to the next tier without needing the tier-level threshold. `record_failure(proxy_url)` and `record_success(proxy_url)` accept an optional `proxy_url` argument for per-proxy tracking; callers without `proxy_url` are fully backward-compatible. New `dead_proxy_count()` callable exposed for monitoring.
   - `extract/padelnomics_extract/src/padelnomics_extract/proxy.py`: added per-proxy state (`proxy_failure_counts`, `dead_proxies`), updated `next_proxy`/`record_failure`/`record_success`, added `dead_proxy_count`
   - `extract/padelnomics_extract/src/padelnomics_extract/playtomic_tenants.py`: `_fetch_page_via_cycler` passes `proxy_url` to `record_success`/`record_failure`
@@ -17,6 +43,13 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
   - `web/tests/test_supervisor.py`: 11 new tests in `TestTieredCyclerDeadProxyTracking` covering dead proxy skipping, auto-escalation, `dead_proxy_count`, backward compat, and thread safety
 
 ### Added
+- **Visual upgrades for longform articles** — 4 reusable CSS article components added to `input.css` and applied across 6 cornerstone articles (EN + DE):
+  - `article-timeline`: horizontal numbered phase diagram with connecting lines; collapses to vertical stack on mobile. Replaces ASCII art code blocks in build guide articles.
+  - `article-callout` (warning/tip/info variants): left-bordered callout box with icon, title, and body. Replaces `>` blockquotes and bold-text warnings in build and risk guides.
+  - `article-cards`: 2-column card grid with colored accent bars (success/failure/neutral/established/growth/emerging). Replaces sequential bold-text pattern paragraphs in build, risk, and location guides.
+  - `severity` pills: inline colored badge for High/Medium-High/Medium/Low-Medium/Low. Applied to risk overview tables in both risk guide articles.
+  - Articles updated: `padel-hall-build-guide-en`, `padel-halle-bauen-de`, `padel-hall-investment-risks-en`, `padel-halle-risiken-de`, `padel-hall-location-guide-en`, `padel-standort-analyse-de`
+
 - **Pipeline Transform tab + live extraction status** — new "Transform" tab in the pipeline admin with status cards for SQLMesh transform and export-serving tasks, a "Run Full Pipeline" button, and a recent run history table. The Overview tab now auto-polls every 5 s while an extraction task is pending and stops automatically when quiet. Per-extractor "Run" buttons use HTMX in-place updates instead of redirects. The header "Run Pipeline" button now enqueues the full ELT pipeline (extract → transform → export) instead of extraction only. Three new worker task handlers: `run_transform` (sqlmesh plan prod --auto-apply, 2 h timeout), `run_export` (export_serving.py, 10 min timeout), `run_pipeline` (sequential, stops on first failure). Concurrency guard prevents double-enqueuing the same step.
   - `web/src/padelnomics/worker.py`: `handle_run_transform`, `handle_run_export`, `handle_run_pipeline`
   - `web/src/padelnomics/admin/pipeline_routes.py`: `_render_overview_partial()`, `_fetch_pipeline_tasks()`, `_format_duration()`, `pipeline_transform()`, `pipeline_trigger_transform()`; `pipeline_trigger_extract()` now HTMX-aware

data/content/articles/padel-hall-build-guide-en.md

@@ -17,15 +17,48 @@ This guide walks through all five phases and 23 steps between your initial marke
 
 ## The 5 Phases at a Glance
 
-```
+<div class="article-timeline">
-Phase 1          Phase 2          Phase 3          Phase 4         Phase 5
+  <div class="article-timeline__phase">
-Feasibility   →  Planning &    →  Construction  →  Pre-         →  Operations &
+    <div class="article-timeline__num">1</div>
-& Concept        Design           / Conversion      Opening         Optimization
+    <div class="article-timeline__card">
-
+      <div class="article-timeline__title">Feasibility &amp; Concept</div>
-Month 1–3        Month 3–6        Month 6–12        Month 10–13     Ongoing
+      <div class="article-timeline__subtitle">Market research, concept, site scouting</div>
-
+      <div class="article-timeline__meta">Month 1–3 · Steps 1–5</div>
-Steps 1–5        Steps 6–11       Steps 12–16       Steps 17–20     Steps 21–23
+    </div>
-```
+  </div>
+  <div class="article-timeline__phase">
+    <div class="article-timeline__num">2</div>
+    <div class="article-timeline__card">
+      <div class="article-timeline__title">Planning &amp; Design</div>
+      <div class="article-timeline__subtitle">Architect, permits, financing</div>
+      <div class="article-timeline__meta">Month 3–6 · Steps 6–11</div>
+    </div>
+  </div>
+  <div class="article-timeline__phase">
+    <div class="article-timeline__num">3</div>
+    <div class="article-timeline__card">
+      <div class="article-timeline__title">Construction</div>
+      <div class="article-timeline__subtitle">Build, courts, IT systems</div>
+      <div class="article-timeline__meta">Month 6–12 · Steps 12–16</div>
+    </div>
+  </div>
+  <div class="article-timeline__phase">
+    <div class="article-timeline__num">4</div>
+    <div class="article-timeline__card">
+      <div class="article-timeline__title">Pre-Opening</div>
+      <div class="article-timeline__subtitle">Hiring, marketing, soft launch</div>
+      <div class="article-timeline__meta">Month 10–13 · Steps 17–20</div>
+    </div>
+  </div>
+  <div class="article-timeline__phase">
+    <div class="article-timeline__num">5</div>
+    <div class="article-timeline__card">
+      <div class="article-timeline__title">Operations</div>
+      <div class="article-timeline__subtitle">Revenue streams, optimization</div>
+      <div class="article-timeline__meta">Ongoing · Steps 21–23</div>
+    </div>
+  </div>
+</div>
 
 ---
 
@@ -105,7 +138,12 @@ Deliverables from this phase:
 - **MEP design (mechanical, electrical, plumbing):** Heating, ventilation, air conditioning, electrical, drainage — typically the most expensive trade package in a sports hall conversion
 - **Fire safety strategy**
 
-> **The most expensive planning mistake in padel hall builds:** underestimating HVAC complexity and budget. Large indoor courts need precise temperature and humidity control — not just for player comfort, but for playing surface longevity and air quality. Courts installed in a poorly climate-controlled building will degrade faster and generate complaints. Budget for it properly from the start, not as a value-engineering target.
+<div class="article-callout article-callout--warning">
+  <div class="article-callout__body">
+    <span class="article-callout__title">The most expensive planning mistake in padel hall builds</span>
+    <p>Underestimating HVAC complexity and budget. Large indoor courts need precise temperature and humidity control — not just for player comfort, but for playing surface longevity and air quality. Courts installed in a poorly climate-controlled building will degrade faster and generate complaints. Budget for it properly from the start, not as a value-engineering target.</p>
+  </div>
+</div>
 
 ### Step 8: Court Supplier Selection
 
@@ -160,7 +198,12 @@ Courts are installed after the building envelope is weathertight. This is a hard
 
 Glass panels, artificial turf, and court metalwork must not be exposed to construction dust, moisture, and site traffic. Projects that try to accelerate schedules by installing courts before the building is properly enclosed regularly end up with surface contamination, glass damage, and voided manufacturer warranties.
 
-> **The most common construction mistake on padel hall projects:** rushing court installation sequencing under schedule pressure. The pressure to hit an opening date is real — but installing courts into an unenclosed building is one of the most reliable ways to add cost and delay, not reduce them. Hold the sequence.
+<div class="article-callout article-callout--warning">
+  <div class="article-callout__body">
+    <span class="article-callout__title">The most common construction mistake on padel hall projects</span>
+    <p>Rushing court installation sequencing under schedule pressure. The pressure to hit an opening date is real — but installing courts into an unenclosed building is one of the most reliable ways to add cost and delay, not reduce them. Hold the sequence.</p>
+  </div>
+</div>
 
 Allow two to four weeks for court installation per batch, depending on the manufacturer's crew capacity. Build this explicitly into your master program.
 
@@ -174,7 +217,12 @@ Decide early: which booking platform, which point-of-sale system, and whether yo
 
 Access control systems must be coordinated with the electrical design. Adding them in the final stages of construction is possible but costs more.
 
-> **The most common pre-opening mistake:** the booking system isn't fully configured, tested, and working on day one. A broken booking flow, failed test payments, or a QR code that leads to an error page on opening day kills your launch momentum in a way that's difficult to recover from. Test the system end-to-end — including real bookings, real payments, and real cancellations — two to four weeks before opening.
+<div class="article-callout article-callout--warning">
+  <div class="article-callout__body">
+    <span class="article-callout__title">The most common pre-opening mistake</span>
+    <p>The booking system isn't fully configured, tested, and working on day one. A broken booking flow, failed test payments, or a QR code that leads to an error page on opening day kills your launch momentum in a way that's difficult to recover from. Test the system end-to-end — including real bookings, real payments, and real cancellations — two to four weeks before opening.</p>
+  </div>
+</div>
 
 ### Step 16: Inspections and Certifications
 
@@ -248,13 +296,36 @@ Court bookings are your core revenue, but rarely your only opportunity:
 
 Patterns emerge when you observe padel hall projects across a market over time.
 
-**Projects that go over budget** almost always cut at the wrong place early — too little HVAC budget, no construction contingency, a cheap general contractor without adequate contractual protection. The savings on the way in become much larger costs on the way out.
+<div class="article-cards">
-
+  <div class="article-card article-card--failure">
-**Projects that slip their schedule** consistently underestimate the regulatory process. Permits, noise assessments, and change-of-use applications take time that money cannot buy once you've started too late. Start conversations with authorities before you need the approvals, not when you need them.
+    <div class="article-card__accent"></div>
-
+    <div class="article-card__inner">
-**Projects that open weakly** started marketing too late and tested the booking system too late. An empty calendar on day one and a broken booking page create impressions that stick longer than the opening week.
+      <span class="article-card__title">Projects that go over budget</span>
-
+      <p class="article-card__body">Almost always cut at the wrong place early — too little HVAC budget, no construction contingency, a cheap general contractor without adequate contractual protection. The savings on the way in become much larger costs on the way out.</p>
-**Projects that succeed long-term** treat all three phases — planning, build, and opening — with equal rigor, and invest early and consistently in community and repeat customers.
+    </div>
+  </div>
+  <div class="article-card article-card--failure">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Projects that slip their schedule</span>
+      <p class="article-card__body">Consistently underestimate the regulatory process. Permits, noise assessments, and change-of-use applications take time that money cannot buy once you've started too late. Start conversations with authorities before you need the approvals.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--failure">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Projects that open weakly</span>
+      <p class="article-card__body">Started marketing too late and tested the booking system too late. An empty calendar on day one and a broken booking page create impressions that stick longer than the opening week.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--success">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Projects that succeed long-term</span>
+      <p class="article-card__body">Treat all three phases — planning, build, and opening — with equal rigor, and invest early and consistently in community and repeat customers.</p>
+    </div>
+  </div>
+</div>
 
 Building a padel hall is complex, but it is a solved problem. The failures are nearly always the same failures. So are the successes.
 

data/content/articles/padel-hall-investment-risks-en.md

@@ -21,20 +21,20 @@ This article covers the 14 risks that don't get enough airtime in investor discu
 
 | # | Risk | Category | Severity |
 |---|------|----------|----------|
-| 1 | Trend / fad risk | Strategic | High |
+| 1 | Trend / fad risk | Strategic | <span class="severity severity--high">High</span> |
-| 2 | Construction cost overruns | Construction & Development | High |
+| 2 | Construction cost overruns | Construction & Development | <span class="severity severity--high">High</span> |
-| 3 | Construction delays | Construction & Development | High |
+| 3 | Construction delays | Construction & Development | <span class="severity severity--high">High</span> |
-| 4 | Landlord risk: sale, insolvency, non-renewal | Property & Lease | High |
+| 4 | Landlord risk: sale, insolvency, non-renewal | Property & Lease | <span class="severity severity--high">High</span> |
-| 5 | New competitor in your catchment | Competition | Medium–High |
+| 5 | New competitor in your catchment | Competition | <span class="severity severity--medium-high">Medium–High</span> |
-| 6 | Key-person dependency | Operations | Medium |
+| 6 | Key-person dependency | Operations | <span class="severity severity--medium">Medium</span> |
-| 7 | Staff retention and wage pressure | Operations | Medium |
+| 7 | Staff retention and wage pressure | Operations | <span class="severity severity--medium">Medium</span> |
-| 8 | Court surface and maintenance cycles | Operations | Medium |
+| 8 | Court surface and maintenance cycles | Operations | <span class="severity severity--medium">Medium</span> |
-| 9 | Energy price volatility | Financial | Medium |
+| 9 | Energy price volatility | Financial | <span class="severity severity--medium">Medium</span> |
-| 10 | Interest rate risk | Financial | Medium |
+| 10 | Interest rate risk | Financial | <span class="severity severity--medium">Medium</span> |
-| 11 | Personal guarantee exposure | Financial | High |
+| 11 | Personal guarantee exposure | Financial | <span class="severity severity--high">High</span> |
-| 12 | Customer concentration | Financial | Medium |
+| 12 | Customer concentration | Financial | <span class="severity severity--medium">Medium</span> |
-| 13 | Noise complaints and regulatory restrictions | Regulatory & Legal | Medium |
+| 13 | Noise complaints and regulatory restrictions | Regulatory & Legal | <span class="severity severity--medium">Medium</span> |
-| 14 | Booking platform dependency | Regulatory & Legal | Low–Medium |
+| 14 | Booking platform dependency | Regulatory & Legal | <span class="severity severity--low-medium">Low–Medium</span> |
 
 ---
 
@@ -137,9 +137,12 @@ Your costs will increase three to five percent per year. Whether you can pass th
 
 ## The Risk No One Talks About: Personal Guarantees
 
-**This section gets skipped in almost every padel hall investment conversation. That's a serious mistake.**
+<div class="article-callout article-callout--warning">
-
+  <div class="article-callout__body">
-Banks financing a single-asset leisure facility without corporate backing will almost universally require personal guarantees from the principal shareholders. Not as an unusual request — as standard terms for this type of deal.
+    <span class="article-callout__title">This section gets skipped in almost every padel hall investment conversation. That's a serious mistake.</span>
+    <p>Banks financing a single-asset leisure facility without corporate backing will almost universally require personal guarantees from the principal shareholders. Not as an unusual request — as standard terms for this type of deal.</p>
+  </div>
+</div>
 
 Here is what that means in practice:
 
@@ -180,13 +183,36 @@ Building a parallel booking capability — even a simple direct booking option
 
 The investors who succeed long-term in padel aren't the ones who found a risk-free opportunity. There isn't one. They're the ones who went in with their eyes open.
 
-**They modeled the bad scenarios before assuming the good ones.** A business plan that shows only the base case isn't a planning tool — it's wishful thinking. Explicit downside modeling — 40% utilization, six-month delay, new competitor in year three — is the baseline, not an optional exercise.
+<div class="article-cards">
-
+  <div class="article-card article-card--success">
-**They built structural buffers into the plan.** Liquid reserves covering at least six months of fixed costs. Construction contingency treated as a budget line, not a hedge. These aren't comfort margins; they're operational requirements.
+    <div class="article-card__accent"></div>
-
+    <div class="article-card__inner">
-**They got the contractual foundations right from the start.** Lease terms. Financing conditions. Guarantee scope. The cost of good legal and financial advice at the planning stage is trivial relative to the downside exposure it addresses.
+      <span class="article-card__title">Model the bad scenarios first</span>
-
+      <p class="article-card__body">A business plan showing only the base case isn't a planning tool — it's wishful thinking. Explicit downside modeling — 40% utilization, six-month delay, new competitor in year three — is the baseline, not an optional exercise.</p>
-**They planned for competition.** Not by hoping it wouldn't come, but by building a product — community, quality, service — that gives existing customers a reason to stay when someone cheaper opens nearby.
+    </div>
+  </div>
+  <div class="article-card article-card--success">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Build structural buffers in</span>
+      <p class="article-card__body">Liquid reserves covering at least six months of fixed costs. Construction contingency treated as a budget line, not a hedge. These aren't comfort margins; they're operational requirements.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--success">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Get the contractual foundations right</span>
+      <p class="article-card__body">Lease terms. Financing conditions. Guarantee scope. The cost of good legal and financial advice at the planning stage is trivial relative to the downside exposure it addresses.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--success">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Plan for competition</span>
+      <p class="article-card__body">Not by hoping it won't come, but by building a product — community, quality, service — that gives existing customers a reason to stay when someone cheaper opens nearby.</p>
+    </div>
+  </div>
+</div>
 
 ---
 

data/content/articles/padel-hall-location-guide-en.md

@@ -148,11 +148,29 @@ The matrix also reveals where trade-offs are being made explicitly, which makes
 
 The 8 criteria above evaluate specific sites. But before shortlisting sites, it is worth stepping back to read the stage of the overall market — because the right operational strategy differs fundamentally depending on where a city sits in its padel development cycle.
 
-**Established markets**: Booking platforms show consistent peak-hour sell-out across most venues. Waiting lists are common. Demand is validated beyond doubt. The challenge here is elevated rent, elevated build costs, and entrenched operators who have already captured community loyalty. New entrants need a genuine differentiation angle — a superior facility specification, a better location within the city, or an F&B and coaching product that existing venues don't offer. Entry costs are high; returns, if execution is strong, are also high. Munich is the canonical German example.
+<div class="article-cards">
-
+  <div class="article-card article-card--established">
-**Growth markets**: Demand is clearly building — booking availability tightens at weekends, new facilities are announced regularly, and the sport is gaining local media visibility. Supply hasn't caught up, so identifiable gaps still exist in specific districts or the surrounding hinterland. The risk profile is lower than in emerging markets, but the window for securing good real estate at reasonable rent is narrowing. The premium for moving decisively goes to those who arrive before the obvious sites are taken.
+    <div class="article-card__accent"></div>
-
+    <div class="article-card__inner">
-**Emerging markets**: Limited current supply, a small but growing player base, and padel not yet mainstream enough to generate organic walk-in demand. Entry costs — rent especially — are lower. The constraint is that demand must be actively created rather than captured. Operators who succeed here invest in community: beginner programmes, local leagues, school partnerships, conversions from tennis clubs. The time to first profitability is longer, but the competitive position built in the first two years is often decisive for the long term.
+      <span class="article-card__title">Established markets</span>
+      <p class="article-card__body">Booking platforms show consistent peak-hour sell-out. Demand is validated. The challenge: elevated rent, high build costs, entrenched operators. New entrants need a genuine differentiation angle — superior spec, better location, or F&B and coaching that existing venues don't offer. Entry costs are high; returns, if execution is strong, are also high. Munich is the canonical German example.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--growth">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Growth markets</span>
+      <p class="article-card__body">Demand is clearly building — booking availability tightens at weekends, new facilities are announced regularly. Supply hasn't caught up; identifiable gaps still exist. The risk profile is lower, but the window for securing good real estate at reasonable rent is narrowing. The premium goes to those who arrive before the obvious sites are taken.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--emerging">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Emerging markets</span>
+      <p class="article-card__body">Limited supply, a small but growing player base, padel not yet mainstream. Entry costs — rent especially — are lower. The constraint: demand must be actively created rather than captured. Operators who succeed invest in community: beginner programmes, local leagues, school partnerships. Time to profitability is longer, but the competitive position built in the first two years is often decisive.</p>
+    </div>
+  </div>
+</div>
 
 Before committing to a site search in any city, calibrate where it sits on this spectrum. The 8-criteria framework then tells you whether a specific site works; market maturity tells you what kind of operator and strategy is required to make it work at all.
 

data/content/articles/padel-halle-bauen-de.md

@@ -17,15 +17,48 @@ Dieser Leitfaden zeigt Ihnen alle 5 Phasen und 23 Schritte, die zwischen Ihrer e
 
 ## Die 5 Phasen im Überblick
 
-```
+<div class="article-timeline">
-Phase 1          Phase 2          Phase 3          Phase 4         Phase 5
+  <div class="article-timeline__phase">
-Machbarkeit   →  Planung &     →  Bau /         →  Voreröff-   →  Betrieb &
+    <div class="article-timeline__num">1</div>
-& Konzept        Design           Umbau             nung            Optimierung
+    <div class="article-timeline__card">
-
+      <div class="article-timeline__title">Machbarkeit &amp; Konzept</div>
-Monat 1–3        Monat 3–6        Monat 6–12        Monat 10–13     laufend
+      <div class="article-timeline__subtitle">Marktanalyse, Konzept, Standortsuche</div>
-
+      <div class="article-timeline__meta">Monat 1–3 · Schritte 1–5</div>
-Schritte 1–5     Schritte 6–11    Schritte 12–16    Schritte 17–20  Schritte 21–23
+    </div>
-```
+  </div>
+  <div class="article-timeline__phase">
+    <div class="article-timeline__num">2</div>
+    <div class="article-timeline__card">
+      <div class="article-timeline__title">Planung &amp; Design</div>
+      <div class="article-timeline__subtitle">Architekt, Genehmigungen, Finanzierung</div>
+      <div class="article-timeline__meta">Monat 3–6 · Schritte 6–11</div>
+    </div>
+  </div>
+  <div class="article-timeline__phase">
+    <div class="article-timeline__num">3</div>
+    <div class="article-timeline__card">
+      <div class="article-timeline__title">Bau / Umbau</div>
+      <div class="article-timeline__subtitle">Rohbau, Courts, IT-Systeme</div>
+      <div class="article-timeline__meta">Monat 6–12 · Schritte 12–16</div>
+    </div>
+  </div>
+  <div class="article-timeline__phase">
+    <div class="article-timeline__num">4</div>
+    <div class="article-timeline__card">
+      <div class="article-timeline__title">Voreröffnung</div>
+      <div class="article-timeline__subtitle">Personal, Marketing, Soft Launch</div>
+      <div class="article-timeline__meta">Monat 10–13 · Schritte 17–20</div>
+    </div>
+  </div>
+  <div class="article-timeline__phase">
+    <div class="article-timeline__num">5</div>
+    <div class="article-timeline__card">
+      <div class="article-timeline__title">Betrieb &amp; Optimierung</div>
+      <div class="article-timeline__subtitle">Einnahmen, Community, Optimierung</div>
+      <div class="article-timeline__meta">laufend · Schritte 21–23</div>
+    </div>
+  </div>
+</div>
 
 ---
 
@@ -104,7 +137,12 @@ Was in dieser Phase entsteht:
 - MEP-Planung (Haustechnik): Heizung, Lüftung, Klimaanlage, Elektro, Sanitär — das sind bei Sporthallen oft die kostenintensivsten Gewerke
 - Brandschutzkonzept
 
-**Häufiger Fehler in dieser Phase:** Die Haustechnik wird unterschätzt. Eine große Innenhalle braucht präzise Temperatur- und Feuchtigkeitskontrolle — für die Spielqualität, für die Langlebigkeit des Belags und für das Wohlbefinden der Spieler. Eine schlechte HVAC-Anlage ist eine Dauerbaustelle.
+<div class="article-callout article-callout--warning">
+  <div class="article-callout__body">
+    <span class="article-callout__title">Häufiger Fehler in dieser Phase</span>
+    <p>Die Haustechnik wird unterschätzt. Eine große Innenhalle braucht präzise Temperatur- und Feuchtigkeitskontrolle — für die Spielqualität, für die Langlebigkeit des Belags und für das Wohlbefinden der Spieler. Eine schlechte HVAC-Anlage ist eine Dauerbaustelle.</p>
+  </div>
+</div>
 
 ### Schritt 8: Courtlieferant auswählen
 
@@ -155,7 +193,12 @@ Verhandeln Sie Festpreise, wo möglich. Lesen Sie die Risikoverteilung in den Ve
 
 Courts werden nach Fertigstellung der Gebäudehülle montiert — das ist eine harte Reihenfolge, keine Empfehlung. Glaselemente dürfen nicht Feuchtigkeit, Staub und Baustellenverkehr ausgesetzt werden, bevor das Gebäude dicht ist.
 
-**Ein häufiger und vermeidbarer Fehler:** Projekte, die unter Zeitdruck stehen, versuchen, Court-Montage vorzuziehen. Das Ergebnis sind beschädigte Oberflächen, Glasschäden, Verschmutzungen im Belag und Gewährleistungsprobleme mit dem Hersteller. Halten Sie die Reihenfolge ein — konsequent.
+<div class="article-callout article-callout--warning">
+  <div class="article-callout__body">
+    <span class="article-callout__title">Ein häufiger und vermeidbarer Fehler</span>
+    <p>Projekte unter Zeitdruck versuchen, die Court-Montage vorzuziehen. Das Ergebnis sind beschädigte Oberflächen, Glasschäden, Verschmutzungen im Belag und Gewährleistungsprobleme mit dem Hersteller. Halten Sie die Reihenfolge ein — konsequent.</p>
+  </div>
+</div>
 
 Die Montage von Courts dauert je nach Hersteller und Parallelkapazität zwei bis vier Wochen pro Charge. Planen Sie das in den Gesamtablauf ein.
 
@@ -169,7 +212,12 @@ Frühzeitig entscheiden: Playtomic, Matchi, ein anderes System oder eine Hybridl
 
 Zugangskontrolle (falls gewünscht) muss mit der Elektroplanung koordiniert werden. Wer das in der letzten Bauphase ergänzen möchte, zahlt dafür.
 
-**Der häufigste Fehler kurz vor der Eröffnung:** Am Tag der Eröffnung ist das Buchungssystem noch nicht richtig konfiguriert, Testzahlungen schlagen fehl, der QR-Code am Eingang führt auf eine Fehlerseite. Der Eröffnungsbuzz ist ein einmaliges Gut. Testen Sie das System zwei bis vier Wochen vorher vollständig — inklusive echter Buchungen, echter Zahlungen und echter Stornierungen.
+<div class="article-callout article-callout--warning">
+  <div class="article-callout__body">
+    <span class="article-callout__title">Der häufigste Fehler kurz vor der Eröffnung</span>
+    <p>Am Tag der Eröffnung ist das Buchungssystem noch nicht richtig konfiguriert, Testzahlungen schlagen fehl, der QR-Code am Eingang führt auf eine Fehlerseite. Der Eröffnungsbuzz ist ein einmaliges Gut. Testen Sie das System zwei bis vier Wochen vorher vollständig — inklusive echter Buchungen, echter Zahlungen und echter Stornierungen.</p>
+  </div>
+</div>
 
 ### Schritt 16: Abnahmen und Zertifizierungen
 
@@ -243,13 +291,36 @@ Die Court-Buchung ist Ihr Kernangebot — aber nicht die einzige Einnahmequelle:
 
 Wer Dutzende Padelhallenprojekte in Europa beobachtet, sieht Muster auf beiden Seiten:
 
-**Die Projekte, die über Budget laufen**, haben fast immer früh an der falschen Stelle gespart — zu wenig Haustechnikbudget, kein Baukostenpuffer, zu günstiger Generalunternehmer ohne ausreichende Vertragsabsicherung.
+<div class="article-cards">
-
+  <div class="article-card article-card--failure">
-**Die Projekte, die terminlich entgleisen**, haben die behördlichen Prozesse unterschätzt. Genehmigungen, Lärmschutzgutachten, Nutzungsänderungen brauchen Zeit — und diese Zeit lässt sich nicht kaufen, sobald man zu spät damit anfängt.
+    <div class="article-card__accent"></div>
-
+    <div class="article-card__inner">
-**Die Projekte, die schwach starten**, haben das Marketing zu spät begonnen und das Buchungssystem zu spät getestet. Ein leerer Kalender am Eröffnungstag und eine kaputte Buchungsseite erzeugen Eindrücke, die sich festsetzen.
+      <span class="article-card__title">Projekte, die über Budget laufen</span>
-
+      <p class="article-card__body">Haben fast immer früh an der falschen Stelle gespart — zu wenig Haustechnikbudget, kein Baukostenpuffer, zu günstiger Generalunternehmer ohne ausreichende Vertragsabsicherung.</p>
-**Die Projekte, die langfristig erfolgreich sind**, haben alle drei Phasen — Planung, Bau, Eröffnung — mit derselben Sorgfalt behandelt und früh in Community und Stammkundschaft investiert.
+    </div>
+  </div>
+  <div class="article-card article-card--failure">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Projekte, die terminlich entgleisen</span>
+      <p class="article-card__body">Haben die behördlichen Prozesse unterschätzt. Genehmigungen, Lärmschutzgutachten, Nutzungsänderungen brauchen Zeit — und diese Zeit lässt sich nicht kaufen, sobald man zu spät damit anfängt.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--failure">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Projekte, die schwach starten</span>
+      <p class="article-card__body">Haben das Marketing zu spät begonnen und das Buchungssystem zu spät getestet. Ein leerer Kalender am Eröffnungstag und eine kaputte Buchungsseite erzeugen Eindrücke, die sich festsetzen.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--success">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Projekte, die langfristig erfolgreich sind</span>
+      <p class="article-card__body">Behandeln alle drei Phasen — Planung, Bau, Eröffnung — mit derselben Sorgfalt und investieren früh in Community und Stammkundschaft.</p>
+    </div>
+  </div>
+</div>
 
 Eine Padelhalle zu bauen ist komplex — aber kein ungelöstes Problem. Die Fehler, die Projekte scheitern lassen, sind fast immer dieselben. Genauso wie die Entscheidungen, die sie gelingen lassen.
 

data/content/articles/padel-halle-risiken-de.md

@@ -21,20 +21,20 @@ Dieser Artikel zeigt Ihnen die 14 Risiken, über die in Investorenrunden zu weni
 
 | # | Risiko | Kategorie | Schwere |
 |---|--------|-----------|---------|
-| 1 | Trend-/Modeerscheinung | Strategisch | Hoch |
+| 1 | Trend-/Modeerscheinung | Strategisch | <span class="severity severity--high">Hoch</span> |
-| 2 | Baukostenüberschreitungen | Bau & Entwicklung | Hoch |
+| 2 | Baukostenüberschreitungen | Bau & Entwicklung | <span class="severity severity--high">Hoch</span> |
-| 3 | Verzögerungen während des Baus | Bau & Entwicklung | Hoch |
+| 3 | Verzögerungen während des Baus | Bau & Entwicklung | <span class="severity severity--high">Hoch</span> |
-| 4 | Vermieterproblem: Verkauf, Insolvenz, keine Verlängerung | Immobilie & Mietvertrag | Hoch |
+| 4 | Vermieterproblem: Verkauf, Insolvenz, keine Verlängerung | Immobilie & Mietvertrag | <span class="severity severity--high">Hoch</span> |
-| 5 | Neue Konkurrenz im Einzugsgebiet | Wettbewerb | Mittel–Hoch |
+| 5 | Neue Konkurrenz im Einzugsgebiet | Wettbewerb | <span class="severity severity--medium-high">Mittel–Hoch</span> |
-| 6 | Schlüsselpersonen-Abhängigkeit | Betrieb | Mittel |
+| 6 | Schlüsselpersonen-Abhängigkeit | Betrieb | <span class="severity severity--medium">Mittel</span> |
-| 7 | Fachkräftemangel und Lohndruck | Betrieb | Mittel |
+| 7 | Fachkräftemangel und Lohndruck | Betrieb | <span class="severity severity--medium">Mittel</span> |
-| 8 | Instandhaltungszyklen für Belag, Glas, Kunstrasen | Betrieb | Mittel |
+| 8 | Instandhaltungszyklen für Belag, Glas, Kunstrasen | Betrieb | <span class="severity severity--medium">Mittel</span> |
-| 9 | Energiepreisvolatilität | Finanzen | Mittel |
+| 9 | Energiepreisvolatilität | Finanzen | <span class="severity severity--medium">Mittel</span> |
-| 10 | Zinsänderungsrisiko | Finanzen | Mittel |
+| 10 | Zinsänderungsrisiko | Finanzen | <span class="severity severity--medium">Mittel</span> |
-| 11 | Persönliche Bürgschaft | Finanzen | Hoch |
+| 11 | Persönliche Bürgschaft | Finanzen | <span class="severity severity--high">Hoch</span> |
-| 12 | Kundenkonzentration | Finanzen | Mittel |
+| 12 | Kundenkonzentration | Finanzen | <span class="severity severity--medium">Mittel</span> |
-| 13 | Lärmbeschwerden und behördliche Auflagen | Regulatorisch & Rechtlich | Mittel |
+| 13 | Lärmbeschwerden und behördliche Auflagen | Regulatorisch & Rechtlich | <span class="severity severity--medium">Mittel</span> |
-| 14 | Buchungsplattform-Abhängigkeit | Regulatorisch & Rechtlich | Niedrig–Mittel |
+| 14 | Buchungsplattform-Abhängigkeit | Regulatorisch & Rechtlich | <span class="severity severity--low-medium">Niedrig–Mittel</span> |
 
 ---
 
@@ -133,9 +133,14 @@ Ihre Kosten steigen jedes Jahr um drei bis fünf Prozent. Können Sie diese Stei
 
 ## Sonderbox: Persönliche Bürgschaft — das unterschätzte Risiko Nr. 1
 
-**Dieses Thema wird in fast jedem Gespräch über Padelhallen-Investitionen ausgelassen. Das ist ein Fehler.**
+<div class="article-callout article-callout--warning">
+  <div class="article-callout__body">
+    <span class="article-callout__title">Dieses Thema wird in fast jedem Gespräch über Padelhallen-Investitionen ausgelassen. Das ist ein Fehler.</span>
+    <p>Banken, die einer Einzelanlage ohne Konzernrückhalt Kapital bereitstellen, verlangen in der Praxis fast immer eine persönliche Bürgschaft des oder der Hauptgesellschafter.</p>
+  </div>
+</div>
 
-Banken, die einer Einzelanlage ohne Konzernrückhalt Kapital bereitstellen, verlangen in der Praxis fast immer eine persönliche Bürgschaft des oder der Hauptgesellschafter. Das bedeutet: Wenn das Unternehmen in Zahlungsschwierigkeiten gerät, haftet nicht die GmbH allein — Sie haften persönlich. Mit dem Eigenheim. Mit dem Ersparten. Mit dem Depot.
+Das bedeutet: Wenn das Unternehmen in Zahlungsschwierigkeiten gerät, haftet nicht die GmbH allein — Sie haften persönlich. Mit dem Eigenheim. Mit dem Ersparten. Mit dem Depot.
 
 Die Struktur sieht dann typischerweise so aus:
 
@@ -176,13 +181,36 @@ Mittel- bis langfristig sollten Sie eine eigene Buchungsfähigkeit aufbauen —
 
 Niemand kann alle Risiken eliminieren. Aber die Investoren, die langfristig erfolgreich sind, tun Folgendes:
 
-**Sie rechnen mit den schlechten Szenarien, bevor sie das Gute annehmen.** Ein Businessplan, der nur das Base-Case zeigt, ist kein Werkzeug — er ist Wunschdenken. Rechnen Sie explizit durch: Was passiert bei 40 Prozent Auslastung? Bei einem Bauverzug von sechs Monaten? Bei einem neuen Wettbewerber in Jahr drei?
+<div class="article-cards">
-
+  <div class="article-card article-card--success">
-**Sie bauen Puffer ein, nicht als Komfortpolster, sondern als betriebliche Notwendigkeit.** Liquide Reserven von mindestens sechs Monaten Fixkosten sind kein Luxus.
+    <div class="article-card__accent"></div>
-
+    <div class="article-card__inner">
-**Sie sichern Mietverträge und Finanzierungskonditionen von Anfang an sorgfältig ab.** Die Kosten für gute Rechts- und Finanzberatung sind verglichen mit dem Downside verschwindend gering.
+      <span class="article-card__title">Schlechte Szenarien zuerst durchrechnen</span>
-
+      <p class="article-card__body">Ein Businessplan, der nur das Base-Case zeigt, ist kein Werkzeug — er ist Wunschdenken. Was passiert bei 40 Prozent Auslastung? Bei sechs Monaten Bauverzug? Bei einem neuen Wettbewerber in Jahr drei?</p>
-**Sie planen für Wettbewerb.** Nicht indem sie auf keine Konkurrenz hoffen, sondern indem sie ein Produkt aufbauen, das Stammkunden bindet — durch Qualität, Community und Dienstleistung.
+    </div>
+  </div>
+  <div class="article-card article-card--success">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Puffer als betriebliche Notwendigkeit</span>
+      <p class="article-card__body">Liquide Reserven von mindestens sechs Monaten Fixkosten sind kein Luxus, sondern Pflicht. Baukostenpuffer ist eine Budgetlinie — kein optionales Polster.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--success">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Verträge von Anfang an absichern</span>
+      <p class="article-card__body">Mietvertrag, Finanzierungskonditionen, Bürgschaftsumfang. Die Kosten für gute Rechts- und Finanzberatung in der Planungsphase sind verglichen mit dem Downside verschwindend gering.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--success">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Für Wettbewerb planen</span>
+      <p class="article-card__body">Nicht indem man auf keine Konkurrenz hofft, sondern indem man ein Produkt aufbaut, das Stammkunden bindet — durch Qualität, Community und Dienstleistungsqualität.</p>
+    </div>
+  </div>
+</div>
 
 ---
 

data/content/articles/padel-standort-analyse-de.md

@@ -138,11 +138,29 @@ Das Ergebnis ist ein Gesamtscore pro Standort, der einen strukturierten Vergleic
 
 Die acht Kriterien oben bewerten konkrete Objekte. Bevor Sie aber mit der Objektsuche beginnen, lohnt ein Schritt zurück: In welcher Entwicklungsphase befindet sich der Markt in Ihrer Zielstadt? Die Antwort bestimmt, welche Betreiberstrategie überhaupt Aussicht auf Erfolg hat.
 
-**Etablierte Märkte**: Buchungsplattformen zeigen durchgehende Vollauslastung zu Stoßzeiten, Wartelisten sind verbreitet, und die Nachfrage ist über jeden Zweifel hinaus belegt. Die Herausforderung liegt nicht mehr in der Nachfrage — sie liegt im Wettbewerb. Etablierte Betreiber haben Markenloyalität aufgebaut, günstige Flächen sind längst vergeben, und Bau- sowie Mietkosten spiegeln die Nachfragesituation wider. Wer in einem solchen Markt neu eintritt, braucht einen echten Differenzierungsansatz: eine bessere Standortlage innerhalb der Stadt, ein überlegenes Hallenprofil oder ein Gastronomie- und Coaching-Angebot, das die bestehenden Anlagen nicht haben. Das Eintrittsinvestment ist hoch — das Ertragspotenzial bei konsequenter Umsetzung aber auch. München ist das paradigmatische Beispiel für Deutschland.
+<div class="article-cards">
-
+  <div class="article-card article-card--established">
-**Wachstumsmärkte**: Die Nachfrage wächst sichtbar — Buchungszeiten füllen sich an Wochenenden, neue Anlagen werden regelmäßig eröffnet, und der Sport erreicht lokale Medienöffentlichkeit. Das Angebot hat die Nachfrage noch nicht vollständig eingeholt; in bestimmten Stadtteilen oder im Umland sind Versorgungslücken erkennbar. Das Risikoprofil ist geringer als in Frühmärkten, aber das Fenster für attraktive Flächen zu vertretbaren Konditionen schließt sich. Wer wartet, bis der Markt offensichtlich attraktiv ist, zahlt für dieses Wissen einen Aufpreis — in Form höherer Mieten, weniger Auswahl und mehr Konkurrenz beim Eintritt.
+    <div class="article-card__accent"></div>
-
+    <div class="article-card__inner">
-**Frühmärkte**: Geringes aktuelles Angebot, eine kleine aber wachsende Spielerbasis und ein noch nicht hinreichend bekannter Sport — die Rahmenbedingungen für günstigen Markteintritt sind vorhanden, aber Nachfrage muss aktiv aufgebaut werden, nicht abgeschöpft. Mietkosten sind niedriger, Standortauswahl größer. Der limitierende Faktor ist Geduld und Marketingfähigkeit: Anfängerkurse, Vereinskooperationen, lokale Ligen und die Konversion bestehender Tennisclubs sind die Instrumente, mit denen Betreiber in Frühmärkten Community und damit Auslastung aufbauen. Der Weg zur ersten Profitabilität ist länger — aber die Wettbewerbsposition, die in den ersten zwei Betriebsjahren aufgebaut wird, erweist sich oft als strukturell dauerhaft.
+      <span class="article-card__title">Etablierte Märkte</span>
+      <p class="article-card__body">Buchungsplattformen zeigen durchgehende Vollauslastung zu Stoßzeiten, Wartelisten sind verbreitet. Die Herausforderung liegt im Wettbewerb: Etablierte Betreiber haben Markenloyalität aufgebaut, günstige Flächen sind vergeben. Neueintretende Betreiber brauchen echten Differenzierungsansatz. Eintrittsinvestment ist hoch — das Ertragspotenzial bei konsequenter Umsetzung ebenfalls. München ist das paradigmatische Beispiel.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--growth">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Wachstumsmärkte</span>
+      <p class="article-card__body">Die Nachfrage wächst sichtbar — Buchungszeiten füllen sich, neue Anlagen werden eröffnet. Das Angebot hat die Nachfrage noch nicht eingeholt; Versorgungslücken sind erkennbar. Das Fenster für attraktive Flächen zu vertretbaren Konditionen schließt sich. Wer wartet, zahlt den Aufpreis des offensichtlich attraktiven Markts.</p>
+    </div>
+  </div>
+  <div class="article-card article-card--emerging">
+    <div class="article-card__accent"></div>
+    <div class="article-card__inner">
+      <span class="article-card__title">Frühmärkte</span>
+      <p class="article-card__body">Geringes Angebot, kleine aber wachsende Spielerbasis. Mietkosten niedriger, Standortauswahl größer — aber Nachfrage muss aktiv aufgebaut werden. Anfängerkurse, Vereinskooperationen, lokale Ligen und Konversion von Tennisclubs sind die zentralen Instrumente. Der Weg zur Profitabilität ist länger; die aufgebaute Wettbewerbsposition erweist sich oft als dauerhaft.</p>
+    </div>
+  </div>
+</div>
 
 Bevor Sie in einer Stadt konkret nach Objekten suchen, sollten Sie deren Marktreife einordnen. Der Kriterienkatalog zeigt, ob ein bestimmtes Objekt geeignet ist; die Marktreife zeigt, welches Betreiberprofil und welche Strategie überhaupt die Voraussetzung für Erfolg ist.
 

extract/padelnomics_extract/pyproject.toml

@@ -21,6 +21,7 @@ extract-census-usa = "padelnomics_extract.census_usa:main"
 extract-census-usa-income = "padelnomics_extract.census_usa_income:main"
 extract-ons-uk = "padelnomics_extract.ons_uk:main"
 extract-geonames = "padelnomics_extract.geonames:main"
+extract-gisco = "padelnomics_extract.gisco:main"
 
 [build-system]
 requires = ["hatchling"]

extract/padelnomics_extract/src/padelnomics_extract/_shared.py

@@ -11,9 +11,12 @@ from datetime import UTC, datetime
 from pathlib import Path
 
 import niquests
+from dotenv import load_dotenv
 
 from .utils import end_run, open_state_db, start_run
 
+load_dotenv()
+
 LANDING_DIR = Path(os.environ.get("LANDING_DIR", "data/landing"))
 
 HTTP_TIMEOUT_SECONDS = 30

extract/padelnomics_extract/src/padelnomics_extract/all.py

@@ -7,7 +7,7 @@ A graphlib.TopologicalSorter schedules them: tasks with no unmet dependencies
 run immediately in parallel; each completion may unlock new tasks.
 
 Current dependency graph:
-  - All 8 non-availability extractors have no dependencies (run in parallel)
+  - All 9 non-availability extractors have no dependencies (run in parallel)
   - playtomic_availability depends on playtomic_tenants (starts as soon as
     tenants finishes, even if other extractors are still running)
 """
@@ -26,6 +26,8 @@ from .eurostat_city_labels import EXTRACTOR_NAME as EUROSTAT_CITY_LABELS_NAME
 from .eurostat_city_labels import extract as extract_eurostat_city_labels
 from .geonames import EXTRACTOR_NAME as GEONAMES_NAME
 from .geonames import extract as extract_geonames
+from .gisco import EXTRACTOR_NAME as GISCO_NAME
+from .gisco import extract as extract_gisco
 from .ons_uk import EXTRACTOR_NAME as ONS_UK_NAME
 from .ons_uk import extract as extract_ons_uk
 from .overpass import EXTRACTOR_NAME as OVERPASS_NAME
@@ -50,6 +52,7 @@ EXTRACTORS: dict[str, tuple] = {
     CENSUS_USA_INCOME_NAME:    (extract_census_usa_income, []),
     ONS_UK_NAME:               (extract_ons_uk, []),
     GEONAMES_NAME:             (extract_geonames, []),
+    GISCO_NAME:                (extract_gisco, []),
     TENANTS_NAME:              (extract_tenants, []),
     AVAILABILITY_NAME:         (extract_availability, [TENANTS_NAME]),
 }

extract/padelnomics_extract/src/padelnomics_extract/census_usa.py

@@ -19,7 +19,7 @@ from pathlib import Path
 import niquests
 
 from ._shared import HTTP_TIMEOUT_SECONDS, run_extractor, setup_logging
-from .utils import get_last_cursor, landing_path, write_gzip_atomic
+from .utils import landing_path, skip_if_current, write_gzip_atomic
 
 logger = setup_logging("padelnomics.extract.census_usa")
 
@@ -73,10 +73,10 @@ def extract(
         return {"files_written": 0, "files_skipped": 1, "bytes_written": 0}
 
     # Skip if we already have data for this month (annual data, monthly cursor)
-    last_cursor = get_last_cursor(conn, EXTRACTOR_NAME)
+    skip = skip_if_current(conn, EXTRACTOR_NAME, year_month)
-    if last_cursor == year_month:
+    if skip:
         logger.info("already have data for %s — skipping", year_month)
-        return {"files_written": 0, "files_skipped": 1, "bytes_written": 0}
+        return skip
 
     year, month = year_month.split("/")
     url = f"{ACS_URL}&key={api_key}"

extract/padelnomics_extract/src/padelnomics_extract/geonames.py

@@ -19,7 +19,6 @@ Output:  one JSON object per line, e.g.:
 
 import gzip
 import io
-import json
 import os
 import sqlite3
 import zipfile
@@ -28,7 +27,7 @@ from pathlib import Path
 import niquests
 
 from ._shared import HTTP_TIMEOUT_SECONDS, run_extractor, setup_logging
-from .utils import compress_jsonl_atomic, get_last_cursor, landing_path
+from .utils import landing_path, skip_if_current, write_jsonl_atomic
 
 logger = setup_logging("padelnomics.extract.geonames")
 
@@ -139,10 +138,10 @@ def extract(
             tmp.rename(dest)
         return {"files_written": 0, "files_skipped": 1, "bytes_written": 0}
 
-    last_cursor = get_last_cursor(conn, EXTRACTOR_NAME)
+    skip = skip_if_current(conn, EXTRACTOR_NAME, year_month)
-    if last_cursor == year_month:
+    if skip:
         logger.info("already have data for %s — skipping", year_month)
-        return {"files_written": 0, "files_skipped": 1, "bytes_written": 0}
+        return skip
 
     year, month = year_month.split("/")
 
@@ -168,11 +167,7 @@ def extract(
 
     dest_dir = landing_path(landing_dir, "geonames", year, month)
     dest = dest_dir / "cities_global.jsonl.gz"
-    working_path = dest.with_suffix(".working.jsonl")
+    bytes_written = write_jsonl_atomic(dest, rows)
-    with open(working_path, "w") as f:
-        for row in rows:
-            f.write(json.dumps(row, separators=(",", ":")) + "\n")
-    bytes_written = compress_jsonl_atomic(working_path, dest)
     logger.info("written %s bytes compressed", f"{bytes_written:,}")
 
     return {

extract/padelnomics_extract/src/padelnomics_extract/gisco.py

@@ -0,0 +1,95 @@
+"""GISCO NUTS-2 boundary GeoJSON extractor.
+
+Downloads NUTS-2 boundary polygons from Eurostat GISCO. The file is stored
+uncompressed because DuckDB's ST_Read cannot read gzipped files.
+
+NUTS classification revises approximately every 7 years (current: 2021).
+The partition path is fixed to the revision year, not the run date, making
+the source version explicit. Cursor tracking still uses year_month to avoid
+re-downloading on every monthly run.
+
+Landing: {LANDING_DIR}/gisco/2024/01/nuts2_boundaries.geojson  (~5 MB, uncompressed)
+"""
+
+import sqlite3
+from pathlib import Path
+
+import niquests
+
+from ._shared import HTTP_TIMEOUT_SECONDS, run_extractor, setup_logging
+from .utils import skip_if_current
+
+logger = setup_logging("padelnomics.extract.gisco")
+
+EXTRACTOR_NAME = "gisco"
+
+# NUTS 2021 revision, 20M scale (1:20,000,000), WGS84 (EPSG:4326), LEVL_2 only.
+# 20M resolution gives simplified polygons that are fast for point-in-polygon
+# matching without sacrificing accuracy at the NUTS-2 boundary level.
+GISCO_URL = (
+    "https://gisco-services.ec.europa.eu/distribution/v2/nuts/geojson/"
+    "NUTS_RG_20M_2021_4326_LEVL_2.geojson"
+)
+
+# Fixed partition: NUTS boundaries are a static reference file, not time-series data.
+# The 2024/01 partition reflects when this NUTS 2021 dataset was first ingested.
+DEST_REL = Path("gisco/2024/01/nuts2_boundaries.geojson")
+
+_GISCO_TIMEOUT_SECONDS = HTTP_TIMEOUT_SECONDS * 4  # ~5 MB; generous for slow upstreams
+
+
+def extract(
+    landing_dir: Path,
+    year_month: str,
+    conn: sqlite3.Connection,
+    session: niquests.Session,
+) -> dict:
+    """Download NUTS-2 GeoJSON. Skips if already run this month or file exists."""
+    skip = skip_if_current(conn, EXTRACTOR_NAME, year_month)
+    if skip:
+        logger.info("already ran for %s — skipping", year_month)
+        return skip
+
+    dest = landing_dir / DEST_REL
+    if dest.exists():
+        logger.info("file already exists (skipping download): %s", dest)
+        return {
+            "files_written": 0,
+            "files_skipped": 1,
+            "bytes_written": 0,
+            "cursor_value": year_month,
+        }
+
+    dest.parent.mkdir(parents=True, exist_ok=True)
+    logger.info("GET %s", GISCO_URL)
+    resp = session.get(GISCO_URL, timeout=_GISCO_TIMEOUT_SECONDS)
+    resp.raise_for_status()
+
+    content = resp.content
+    assert len(content) > 100_000, (
+        f"GeoJSON too small ({len(content)} bytes) — download may have failed"
+    )
+    assert b'"FeatureCollection"' in content, "Response does not look like GeoJSON"
+
+    # Write uncompressed — ST_Read requires a plain file, not .gz
+    tmp = dest.with_suffix(".geojson.tmp")
+    tmp.write_bytes(content)
+    tmp.rename(dest)
+
+    size_mb = len(content) / 1_000_000
+    logger.info("written %s (%.1f MB)", dest, size_mb)
+
+    return {
+        "files_written": 1,
+        "files_skipped": 0,
+        "bytes_written": len(content),
+        "cursor_value": year_month,
+    }
+
+
+def main() -> None:
+    run_extractor(EXTRACTOR_NAME, extract)
+
+
+if __name__ == "__main__":
+    main()

extract/padelnomics_extract/src/padelnomics_extract/playtomic_availability.py

@@ -434,8 +434,10 @@ def _find_venues_with_upcoming_slots(
                 if not start_time_str:
                     continue
                 try:
-                    # Parse "2026-02-24T17:00:00" format
+                    # start_time is "HH:MM:SS"; combine with resource's start_date
-                    slot_start = datetime.fromisoformat(start_time_str).replace(tzinfo=UTC)
+                    start_date = resource.get("start_date", "")
+                    full_dt = f"{start_date}T{start_time_str}" if start_date else start_time_str
+                    slot_start = datetime.fromisoformat(full_dt).replace(tzinfo=UTC)
                     if window_start <= slot_start < window_end:
                         tenant_ids.add(tid)
                         break  # found one upcoming slot, no need to check more
@@ -520,6 +522,10 @@ def extract_recheck(
     dest_dir = landing_path(landing_dir, "playtomic", year, month)
     dest = dest_dir / f"availability_{target_date}_recheck_{recheck_hour:02d}.jsonl.gz"
 
+    if not venues_data:
+        logger.warning("Recheck fetched 0 venues (%d errors) — skipping file write", venues_errored)
+        return {"files_written": 0, "files_skipped": 0, "bytes_written": 0}
+
     captured_at = datetime.now(UTC).strftime("%Y-%m-%dT%H:%M:%SZ")
     working_path = dest.with_suffix("").with_suffix(".working.jsonl")
     with open(working_path, "w") as f:

extract/padelnomics_extract/src/padelnomics_extract/playtomic_tenants.py

@@ -21,7 +21,6 @@ Rate: 1 req / 2 s per IP (see docs/data-sources-inventory.md §1.2).
 Landing: {LANDING_DIR}/playtomic/{year}/{month}/tenants.jsonl.gz
 """
 
-import json
 import os
 import sqlite3
 import time
@@ -33,7 +32,7 @@ import niquests
 
 from ._shared import HTTP_TIMEOUT_SECONDS, run_extractor, setup_logging, ua_for_proxy
 from .proxy import load_proxy_tiers, make_tiered_cycler
-from .utils import compress_jsonl_atomic, landing_path
+from .utils import landing_path, write_jsonl_atomic
 
 logger = setup_logging("padelnomics.extract.playtomic_tenants")
 
@@ -215,11 +214,7 @@ def extract(
             time.sleep(THROTTLE_SECONDS)
 
     # Write each tenant as a JSONL line, then compress atomically
-    working_path = dest.with_suffix(".working.jsonl")
+    bytes_written = write_jsonl_atomic(dest, all_tenants)
-    with open(working_path, "w") as f:
-        for tenant in all_tenants:
-            f.write(json.dumps(tenant, separators=(",", ":")) + "\n")
-    bytes_written = compress_jsonl_atomic(working_path, dest)
     logger.info("%d unique venues -> %s", len(all_tenants), dest)
 
     return {

extract/padelnomics_extract/src/padelnomics_extract/proxy.py

@@ -3,10 +3,9 @@
 Proxies are configured via environment variables. When unset, all functions
 return None/no-op — extractors fall back to direct requests.
 
-Three-tier escalation: free → datacenter → residential.
+Two-tier escalation: datacenter → residential.
-  Tier 1 (free):        WEBSHARE_DOWNLOAD_URL — auto-fetched from Webshare API
+  Tier 1 (datacenter):  PROXY_URLS_DATACENTER  — comma-separated paid DC proxies
-  Tier 2 (datacenter):  PROXY_URLS_DATACENTER  — comma-separated paid DC proxies
+  Tier 2 (residential): PROXY_URLS_RESIDENTIAL — comma-separated paid residential proxies
-  Tier 3 (residential): PROXY_URLS_RESIDENTIAL — comma-separated paid residential proxies
 
 Tiered circuit breaker:
   Active tier is used until consecutive failures >= threshold, then escalates
@@ -69,22 +68,15 @@ def fetch_webshare_proxies(download_url: str, max_proxies: int = MAX_WEBSHARE_PR
 
 
 def load_proxy_tiers() -> list[list[str]]:
-    """Assemble proxy tiers in escalation order: free → datacenter → residential.
+    """Assemble proxy tiers in escalation order: datacenter → residential.
 
-    Tier 1 (free):        fetched from WEBSHARE_DOWNLOAD_URL if set.
+    Tier 1 (datacenter):  PROXY_URLS_DATACENTER (comma-separated).
-    Tier 2 (datacenter):  PROXY_URLS_DATACENTER (comma-separated).
+    Tier 2 (residential): PROXY_URLS_RESIDENTIAL (comma-separated).
-    Tier 3 (residential): PROXY_URLS_RESIDENTIAL (comma-separated).
 
     Empty tiers are omitted. Returns [] if no proxies configured anywhere.
     """
     tiers: list[list[str]] = []
 
-    webshare_url = os.environ.get("WEBSHARE_DOWNLOAD_URL", "").strip()
-    if webshare_url:
-        free_proxies = fetch_webshare_proxies(webshare_url)
-        if free_proxies:
-            tiers.append(free_proxies)
-
     for var in ("PROXY_URLS_DATACENTER", "PROXY_URLS_RESIDENTIAL"):
         raw = os.environ.get(var, "")
         urls = [u.strip() for u in raw.split(",") if u.strip()]
@@ -157,6 +149,13 @@ def make_tiered_cycler(tiers: list[list[str]], threshold: int, proxy_failure_lim
       per-proxy dead tracking removes broken individuals; tier-level threshold
       catches systemic failure even before any single proxy hits the limit.
 
+    Stale-failure protection:
+      With parallel workers, some threads may fetch a proxy just before the tier
+      escalates and report failure after. record_failure(proxy_url) checks which
+      tier the proxy belongs to and ignores the tier-level circuit breaker if the
+      proxy is from an already-escalated tier. This prevents in-flight failures
+      from a dead tier instantly exhausting the freshly-escalated one.
+
     Returns a dict of callables:
       next_proxy()          -> str | None  — URL from active tier (skips dead), or None
       record_success(proxy_url=None) -> None  — resets consecutive failure counter
@@ -174,6 +173,15 @@ def make_tiered_cycler(tiers: list[list[str]], threshold: int, proxy_failure_lim
     assert isinstance(tiers, list), f"tiers must be a list, got {type(tiers)}"
     assert proxy_failure_limit >= 0, f"proxy_failure_limit must be >= 0, got {proxy_failure_limit}"
 
+    # Reverse map: proxy URL -> tier index. Used in record_failure to ignore
+    # "in-flight" failures from workers that fetched a proxy before escalation —
+    # those failures belong to the old tier and must not count against the new one.
+    proxy_to_tier_idx: dict[str, int] = {
+        url: tier_idx
+        for tier_idx, tier in enumerate(tiers)
+        for url in tier
+    }
+
     lock = threading.Lock()
     cycles = [itertools.cycle(t) for t in tiers]
     state = {
@@ -245,6 +253,15 @@ def make_tiered_cycler(tiers: list[list[str]], threshold: int, proxy_failure_lim
             if idx >= len(tiers):
                 # Already exhausted — no-op
                 return False
+
+            # Ignore failures from proxies that belong to an already-escalated tier.
+            # With parallel workers, some threads fetch a proxy just before escalation
+            # and report back after — those stale failures must not penalise the new tier.
+            if proxy_url is not None:
+                proxy_tier = proxy_to_tier_idx.get(proxy_url)
+                if proxy_tier is not None and proxy_tier < idx:
+                    return False
+
             state["consecutive_failures"] += 1
             if state["consecutive_failures"] < threshold:
                 return False

extract/padelnomics_extract/src/padelnomics_extract/utils.py

@@ -101,6 +101,19 @@ def get_last_cursor(conn: sqlite3.Connection, extractor: str) -> str | None:
     return row["cursor_value"] if row else None
 
 
+_SKIP_RESULT = {"files_written": 0, "files_skipped": 1, "bytes_written": 0}
+
+
+def skip_if_current(conn: sqlite3.Connection, extractor: str, year_month: str) -> dict | None:
+    """Return an early-exit result dict if this extractor already ran for year_month.
+
+    Returns None when the extractor should proceed with extraction.
+    """
+    if get_last_cursor(conn, extractor) == year_month:
+        return _SKIP_RESULT
+    return None
+
+
 # ---------------------------------------------------------------------------
 # File I/O helpers
 # ---------------------------------------------------------------------------
@@ -176,6 +189,20 @@ def write_gzip_atomic(path: Path, data: bytes) -> int:
     return len(compressed)
 
 
+def write_jsonl_atomic(dest: Path, items: list[dict]) -> int:
+    """Write items as JSONL, then compress atomically to dest (.jsonl.gz).
+
+    Compresses the working-file → JSONL → gzip pattern into one call.
+    Returns compressed bytes written.
+    """
+    assert items, "items must not be empty"
+    working_path = dest.with_suffix(".working.jsonl")
+    with open(working_path, "w") as f:
+        for item in items:
+            f.write(json.dumps(item, separators=(",", ":")) + "\n")
+    return compress_jsonl_atomic(working_path, dest)
+
+
 def compress_jsonl_atomic(jsonl_path: Path, dest_path: Path) -> int:
     """Compress a JSONL working file to .jsonl.gz atomically, then delete the source.
 

infra/bootstrap_supervisor.sh

@@ -54,6 +54,40 @@ chmod 600 "${REPO_DIR}/.env"
 
 sudo -u "${SERVICE_USER}" bash -c "cd ${REPO_DIR} && ${UV} sync --all-packages"
 
+# ── rclone config (r2-landing remote) ────────────────────────────────────────
+
+_env_get() { grep -E "^${1}=" "${REPO_DIR}/.env" 2>/dev/null | head -1 | cut -d= -f2- | tr -d '"'"'" || true; }
+
+R2_LANDING_KEY=$(_env_get R2_LANDING_ACCESS_KEY_ID)
+R2_LANDING_SECRET=$(_env_get R2_LANDING_SECRET_ACCESS_KEY)
+R2_ENDPOINT=$(_env_get R2_ENDPOINT)
+
+if [ -n "${R2_LANDING_KEY}" ] && [ -n "${R2_LANDING_SECRET}" ] && [ -n "${R2_ENDPOINT}" ]; then
+    RCLONE_CONF_DIR="/home/${SERVICE_USER}/.config/rclone"
+    RCLONE_CONF="${RCLONE_CONF_DIR}/rclone.conf"
+
+    sudo -u "${SERVICE_USER}" mkdir -p "${RCLONE_CONF_DIR}"
+
+    grep -v '^\[r2-landing\]' "${RCLONE_CONF}" 2>/dev/null > "${RCLONE_CONF}.tmp" || true
+    cat >> "${RCLONE_CONF}.tmp" <<EOF
+
+[r2-landing]
+type = s3
+provider = Cloudflare
+access_key_id = ${R2_LANDING_KEY}
+secret_access_key = ${R2_LANDING_SECRET}
+endpoint = ${R2_ENDPOINT}
+acl = private
+no_check_bucket = true
+EOF
+    mv "${RCLONE_CONF}.tmp" "${RCLONE_CONF}"
+    chown "${SERVICE_USER}:${SERVICE_USER}" "${RCLONE_CONF}"
+    chmod 600 "${RCLONE_CONF}"
+    echo "$(date '+%H:%M:%S') ==> rclone [r2-landing] remote configured."
+else
+    echo "$(date '+%H:%M:%S') ==> R2_LANDING_* not set — skipping rclone config."
+fi
+
 # ── Systemd services ──────────────────────────────────────────────────────────
 
 cp "${REPO_DIR}/infra/landing-backup/padelnomics-landing-backup.service" /etc/systemd/system/

infra/landing-backup/padelnomics-landing-backup.service

@@ -7,15 +7,5 @@ Wants=network-online.target
 Type=oneshot
 User=padelnomics_service
 EnvironmentFile=/opt/padelnomics/.env
-Environment=LANDING_DIR=/data/padelnomics/landing
+ExecStart=/bin/sh -c 'exec /usr/bin/rclone sync /data/padelnomics/landing/ r2-landing:${R2_LANDING_BUCKET}/padelnomics/ --log-level INFO --exclude ".state.sqlite*"'
-ExecStart=/usr/bin/rclone sync ${LANDING_DIR} :s3:${LITESTREAM_R2_BUCKET}/padelnomics/landing \
+TimeoutStartSec=1800
-    --s3-provider Cloudflare \
-    --s3-access-key-id ${LITESTREAM_R2_ACCESS_KEY_ID} \
-    --s3-secret-access-key ${LITESTREAM_R2_SECRET_ACCESS_KEY} \
-    --s3-endpoint https://${LITESTREAM_R2_ENDPOINT} \
-    --s3-no-check-bucket \
-    --exclude ".state.sqlite*"
-
-StandardOutput=journal
-StandardError=journal
-SyslogIdentifier=padelnomics-landing-backup

infra/supervisor/workflows.toml

@@ -39,3 +39,23 @@ module = "padelnomics_extract.playtomic_availability"
 entry = "main_recheck"
 schedule = "0,30 6-23 * * *"
 depends_on = ["playtomic_availability"]
+
+[census_usa]
+module = "padelnomics_extract.census_usa"
+schedule = "monthly"
+
+[census_usa_income]
+module = "padelnomics_extract.census_usa_income"
+schedule = "monthly"
+
+[eurostat_city_labels]
+module = "padelnomics_extract.eurostat_city_labels"
+schedule = "monthly"
+
+[ons_uk]
+module = "padelnomics_extract.ons_uk"
+schedule = "monthly"
+
+[gisco]
+module = "padelnomics_extract.gisco"
+schedule = "monthly"

scratch/padel-hall-question-bank.md

@@ -1,4 +1,35 @@
-# Building a Padel Hall — Complete Guide
+# Padel Hall — Question Bank & Gap Analysis
+
+> **What this file is**: A structured question bank covering the full universe of questions a padel hall entrepreneur needs to answer — from concept to exit. It is **not** an article for publication.
+>
+> **Purpose**: Gap analysis — identify which questions Padelnomics already answers (planner, city articles, pipeline data, business plan PDF) and which are unanswered gaps we could fill to improve product value.
+>
+> **Coverage legend**:
+> - `ANSWERED` — fully covered by the planner, city articles, or BP export
+> - `PARTIAL` — partially addressed; notable gap or missing depth
+> - `GAP` — not addressed at all; actionable opportunity
+
+---
+
+## Gap Analysis Summary
+
+| Tier | Gap | Estimated Impact | Status |
+|------|-----|-----------------|--------|
+| 1 | Subsidies & grants (Germany) | High | Not in product; data exists in `research/padel-hall-economics.md` |
+| 1 | Buyer segmentation (sports club / commercial / hotel / franchise) | High | Not in planner; segmentation table exists in research |
+| 1 | Indoor vs outdoor decision framework | High | Planner models both; no comparison table or decision guide |
+| 1 | OPEX benchmarks shown inline | Medium-High | Planner has inputs; defaults not visually benchmarked |
+| 2 | Booking platform strategy (Playtomic vs Matchi vs custom) | Medium | Zero guidance; we scrape Playtomic so know it well |
+| 2 | Depreciation & tax shield | Medium | All calcs pre-tax; Germany: 30% effective, 7yr courts |
+| 2 | Legal & regulatory checklist (Germany) | Medium | Only permit cost line; Bauantrag, TA Lärm, GmbH etc. missing |
+| 2 | Court supplier selection framework | Medium | Supplier directory exists; no evaluation criteria |
+| 2 | Staffing plan template | Medium | BP has narrative field; no structured role × FTE × salary |
+| 3 | Zero-court location pages (white-space pSEO) | High data value | `location_opportunity_profile` scores them; none published |
+| 3 | Pre-opening / marketing playbook | Low-Medium | Out of scope; static article possible |
+| 3 | Catchment area isochrones (drive-time) | Low | Heavy lift; `nearest_padel_court_km` is straight-line only |
+| 3 | Trend/fad risk quantification | Low | Inherently speculative |
+
+---
 
 ## Table of Contents
 
@@ -16,6 +47,8 @@
 
 ### Market & Demand
 
+> **COVERAGE: PARTIAL** — Venue counts, density (venues/100K), Market Score, and Opportunity Score per city are all answered by pipeline data (`location_opportunity_profile`) and surfaced in city articles. Missing: actual player counts, competitor utilization rates, household income / age demographics for the catchment area. No drive-time isochrone analysis (Tier 3 gap).
+
 - How many padel players are in your target area? Is the sport growing locally or are you betting on future adoption?
 - What's the competitive landscape — how many existing courts within a 20–30 minute drive radius? Are they full? What are their peak/off-peak utilization rates?
 - What's the demographic profile of your catchment area (income, age, sports participation)?
@@ -23,6 +56,8 @@
 
 ### Site & Location
 
+> **COVERAGE: GAP** — The planner has a rent/land cost input and a `own` toggle for buy vs lease, but there is no guidance on site selection criteria (ceiling height, column spacing, zoning classification, parking ratios). A static article or checklist would cover this. See also Tier 2 gap: legal/regulatory checklist.
+
 - Do you want to build new (greenfield), convert an existing building (warehouse, industrial hall), or add to an existing sports complex?
 - What zoning and building regulations apply? Is a padel hall classified as sports, leisure, commercial?
 - What's the required ceiling height? (Minimum ~8–10m for indoor padel, ideally 10m+)
@@ -30,6 +65,8 @@
 
 ### Product & Scope
 
+> **COVERAGE: PARTIAL** — Court count is fully answered (planner supports 1–12 courts, sensitivity analysis included). Ancillary revenue streams (coaching, F&B, pro shop, events, memberships, corporate) are modelled. Indoor vs outdoor is modelled but there is no structured decision framework comparing CAPEX, revenue ceiling, seasonal risk, noise, and permits (Tier 1 gap #3). Quality level / positioning is not addressed.
+
 - How many courts? (Typically 4–8 is the sweet spot for a standalone hall; fewer than 4 struggles with profitability, more than 8 requires very strong demand)
 - Indoor only, outdoor, or hybrid with a retractable/seasonal structure?
 - What ancillary offerings: pro shop, café/bar/lounge, fitness area, changing rooms, padel school/academy?
@@ -37,6 +74,8 @@
 
 ### Financial
 
+> **COVERAGE: ANSWERED** — All four questions are directly answered by the planner: equity/debt split, rent/land cost, real peak/off-peak prices per city (from Playtomic via `planner_defaults`), utilization ramp curve (Year 1–5), and breakeven utilization (sensitivity grid).
+
 - What's your total budget, and what's the split between equity and debt?
 - What rental or land purchase cost can you sustain?
 - What are realistic court booking prices in your market?
@@ -45,6 +84,8 @@
 
 ### Legal & Organizational
 
+> **COVERAGE: GAP** — Only a permit cost line item exists in CAPEX. No entity guidance (GmbH vs UG vs Verein), no permit checklist, no license types, no insurance guidance. A Germany-first legal/regulatory checklist (Bauantrag, Nutzungsänderung, TA Lärm, Gewerbeerlaubnis, §4 Nr. 22 UStG sports VAT exemption) would be high-value static content (Tier 2 gap #7). Buyer segmentation (sports club vs. commercial) affects entity choice and grant eligibility (Tier 1 gap #2).
+
 - What legal entity will you use?
 - Do you need partners (operational, financial, franchise)?
 - What permits, licenses, and insurance do you need?
@@ -56,6 +97,10 @@
 
 ### Phase 1: Feasibility & Concept (Month 1–3)
 
+> **COVERAGE: ANSWERED** — This phase is fully supported. Market research → city articles (venue density, Market Score, Opportunity Score). Concept development → planner inputs. Location scouting → city articles + planner. Preliminary financial model → planner. Go/no-go → planner output (EBITDA, IRR, NPV).
+>
+> Missing: Buyer segmentation (Tier 1 gap #2) — the planner treats all users identically. A "project type" selector (sports club / commercial / hotel / franchise) would adjust CAPEX defaults, grant eligibility, and entity guidance.
+
 1. **Market research**: Survey local players, visit competing facilities, analyze demographics within a 15–20 minute drive radius. Talk to padel coaches and club organizers.
 2. **Concept development**: Define your number of courts, target audience, service level, and ancillary revenue streams.
 3. **Location scouting**: Identify 3–5 candidate sites. Evaluate each on accessibility, visibility, size, ceiling height (if conversion), zoning, and cost.
@@ -64,6 +109,8 @@
 
 ### Phase 2: Planning & Design (Month 3–6)
 
+> **COVERAGE: PARTIAL** — Detailed financial model (step 9) and financing (step 10) are fully answered by the planner (DSCR, covenants, sensitivity). Court supplier selection (step 8) has a partial answer: a supplier directory exists in the product but there is no evaluation framework (Tier 2 gap #8: origin, price/court, warranty, glass type, installation, lead time). Permit process (step 11) is a gap (Tier 2 gap #7). Site security and architect hiring are operational advice, out of scope.
+
 6. **Secure the site**: Sign a letter of intent or option agreement for purchase or lease.
 7. **Hire an architect** experienced in sports facilities. They'll produce floor plans, elevations, structural assessments (for conversions), and MEP (mechanical, electrical, plumbing) layouts.
 8. **Padel court supplier selection**: Get quotes from manufacturers (e.g., Mondo, Padelcreations, MejorSet). Courts come as prefabricated modules — coordinate dimensions, drainage, lighting, and glass specifications with your architect.
@@ -73,6 +120,8 @@
 
 ### Phase 3: Construction / Conversion (Month 6–12)
 
+> **COVERAGE: PARTIAL** — Booking system (step 15) is partially addressed: booking system cost is a planner input, but there is no guidance on platform selection (Playtomic vs Matchi vs custom) despite this being a real decision with revenue and data implications (Tier 2 gap #5). Construction, installation, fit-out, and inspections are operational steps outside Padelnomics' scope.
+
 12. **Tender and contract construction**: Either a general contractor or construction management approach. Key trades: structural/civil, flooring, HVAC (critical for indoor comfort), electrical (LED court lighting to specific lux standards), plumbing.
 13. **Install padel courts**: Usually done after the building shell is complete. Courts take 2–4 weeks to install per batch.
 14. **Fit-out ancillary areas**: Reception, changing rooms, lounge/bar, pro shop.
@@ -81,6 +130,8 @@
 
 ### Phase 4: Pre-Opening (Month 10–13)
 
+> **COVERAGE: PARTIAL** — Staffing plan (step 17): the BP export has a `staffing_plan` narrative field, but there is no structured template with role × FTE × salary defaults. Research benchmarks (€9.9–14.2K/month for 2–3 FTE + manager) could pre-fill this based on court count (Tier 2 gap #9). Marketing playbook (step 18): not addressed; could be a static article (Tier 3 gap #11). Soft/grand opening: out of scope.
+
 17. **Hire staff**: Manager, reception, coaches, cleaning, potentially F&B staff.
 18. **Marketing launch**: Social media, local partnerships (sports clubs, corporate wellness), opening event, introductory pricing.
 19. **Soft opening**: Invite local players, influencers, press for a trial period.
@@ -88,6 +139,8 @@
 
 ### Phase 5: Operations & Optimization (Ongoing)
 
+> **COVERAGE: PARTIAL** — Utilization monitoring and financial review are covered by the planner model. Upsell streams (coaching, equipment, F&B, memberships) are all revenue line items. Community building and dynamic pricing strategy are not addressed — these are operational, not data-driven, and are out of scope.
+
 21. **Monitor utilization** by court, time slot, and day. Adjust pricing dynamically.
 22. **Build community**: Leagues, tournaments, social events, corporate bookings.
 23. **Upsell**: Coaching, equipment, food/beverage, memberships.
@@ -97,6 +150,8 @@
 
 ## Plans You Need to Create
 
+> **COVERAGE: PARTIAL** — Business Plan and Financial Plan are both fully answered (planner + BP PDF export with 15+ narrative sections). Architectural Plans, Marketing Plan, and Legal/Permit Plan are outside the product's scope. Operational Plan is partial: staffing and booking system inputs exist but lack depth (Tier 2 gaps #5, #9).
+
 - **Business Plan** — the master document covering market analysis, concept, operations plan, management team, and financials. This is what banks and investors want to see.
 - **Architectural Plans** — floor plans, cross-sections, elevations, structural drawings, MEP plans. Required for permits and construction.
 - **Financial Plan** — the core of your business plan. Includes investment budget, funding plan, P&L forecast (3–5 years), cash flow forecast, and sensitivity analysis.
@@ -112,6 +167,8 @@
 
 ### Investment Budget (CAPEX)
 
+> **COVERAGE: ANSWERED** — The planner covers all 15+ CAPEX line items for both lease (`rent`) and purchase (`own`) scenarios. Subsidies and grants are **not** modelled (Tier 1 gap #1): `research/padel-hall-economics.md` documents Landessportbund grants (35% for sports clubs), KfW 150 loans, and a real example of €258K → €167K net after grant (padel-court.de). A "Fördermittel" (grants) section in the BP or a callout in DE city articles would surface this.
+
 | Item | Estimate |
 |---|---|
 | Building lease deposit or land | €50,000–€200,000 |
@@ -131,6 +188,8 @@ Realistic midpoint for a solid 6-court hall: **~€1.2–1.5M**.
 
 ### Revenue Model
 
+> **COVERAGE: ANSWERED** — Court utilization × price per hour is the core model. Real peak/off-peak prices per city are pre-filled via `planner_defaults` from Playtomic data. Ramp curve (Year 1–5 utilization), 6 ancillary streams, and monthly seasonal curve are all modelled.
+
 Core driver: **court utilization × price per hour**.
 
 - 6 courts × 15 bookable hours/day × 365 days = **32,850 court-hours/year** (theoretical max)
@@ -149,6 +208,8 @@ Core driver: **court utilization × price per hour**.
 
 ### Operating Costs (OPEX)
 
+> **COVERAGE: PARTIAL** — All OPEX line items exist as planner inputs. The defaults are reasonable but are not visually benchmarked against market data (Tier 1 gap #4). Research benchmarks from `research/padel-hall-economics.md` §7: electricity €2.5–4.5K/month, staff €9.9–14.2K/month for 2–3 FTE + manager, rent €8–15K/month. Showing "typical range for your market" next to each OPEX input field would improve trust in the defaults.
+
 | Cost Item | Year 1 | Year 2 | Year 3 |
 |---|---|---|---|
 | Rent / lease | €120k | €123k | €127k |
@@ -164,6 +225,8 @@ Core driver: **court utilization × price per hour**.
 
 ### Profitability
 
+> **COVERAGE: ANSWERED** — EBITDA, EBITDA margin, debt service, and free cash flow after debt are all computed by the planner for all 60 months.
+
 | Metric | Year 1 | Year 2 | Year 3 |
 |---|---|---|---|
 | **EBITDA** | €310k | €577k | €759k |
@@ -173,6 +236,8 @@ Core driver: **court utilization × price per hour**.
 
 ### Key Metrics to Track
 
+> **COVERAGE: ANSWERED** — Payback period, IRR (equity + project), NPV, MOIC, DSCR per year, breakeven utilization, and revenue per available hour are all computed and displayed.
+
 - **Payback period**: Typically 3–5 years for a well-run padel hall
 - **ROI on equity**: If you put in €500k equity and generate €300k+ annual free cash flow by year 3, that's a 60%+ cash-on-cash return
 - **Breakeven utilization**: Usually around 35–40% — below which you lose money
@@ -180,12 +245,18 @@ Core driver: **court utilization × price per hour**.
 
 ### Sensitivity Analysis
 
+> **COVERAGE: ANSWERED** — 12-step utilization sensitivity and 8-step price sensitivity are both shown as grids, each including DSCR values.
+
 Model what happens if utilization is 10% lower than planned, if the average price drops by €5, or if construction costs overrun by 20%. This is what banks want to see — that you survive the downside.
 
 ---
 
 ## How to Decide Where to Build
 
+> **COVERAGE: PARTIAL overall** — The product answers competition mapping (venue density, Opportunity Score) and rent/cost considerations (planner input). Missing: drive-time catchment analysis (Tier 3 gap #12 — would need isochrone API), accessibility/visibility/building suitability assessment (static checklist possible), growth trajectory (no new-development data), and regulatory environment (Tier 2 gap #7).
+>
+> **Tier 3 opportunity**: `location_opportunity_profile` scores thousands of GeoNames locations including zero-court towns. Only venues with existing courts get a public article. Generating pSEO pages for top-scoring zero-court locations would surface "build here" recommendations (white-space pages).
+
 1. **Catchment area analysis**: Draw a 15-minute and 30-minute drive-time radius around candidate sites. Analyze population density, household income, age distribution (25–55 is the core padel demographic), and existing sports participation rates.
 
 2. **Competition mapping**: Map every existing padel facility within 30 minutes. Call them, check their booking systems — are courts booked out at peak? If competitors are running at 80%+ utilization, that's a strong signal of unmet demand.
@@ -208,70 +279,104 @@ Model what happens if utilization is 10% lower than planned, if the average pric
 
 ### NPV & IRR
 
+> **COVERAGE: ANSWERED** — Both equity IRR and project IRR are computed. NPV is shown with the WACC input. Hurdle rate is a user input.
+
 Discount your projected free cash flows at your WACC (or required return on equity if all-equity financed) to get a net present value. The IRR tells you whether the project clears your hurdle rate. For a padel hall, you'd typically want an unlevered IRR of 15–25% to justify the risk of a single-asset, operationally intensive business. Compare this against alternative uses of your capital.
 
 ### WACC & Cost of Capital
 
+> **COVERAGE: ANSWERED** — WACC is a planner input used in NPV calculations. Debt cost and equity cost are separately configurable.
+
 If you're blending debt and equity, calculate your weighted average cost of capital properly. Bank debt for a sports facility might run 4–7% depending on jurisdiction and collateral. Your equity cost should reflect the illiquidity premium and operational risk — this isn't a passive real estate investment, it's an operating business. A reasonable cost of equity might be 12–20%.
 
 ### Terminal Value
 
+> **COVERAGE: ANSWERED** — Terminal value is computed as EBITDA × exit multiple at the end of the hold period. MOIC and value bridge are displayed.
+
 If you model 5 years of explicit cash flows, you need a terminal value. You can use a perpetuity growth model (FCF year 5 × (1+g) / (WACC – g)) or an exit multiple. For the exit multiple approach, think about what a buyer would pay — likely 4–7x EBITDA for a mature, well-run single-location padel hall, potentially higher if it's part of a multi-site rollout story.
 
 ### Lease vs. Buy
 
+> **COVERAGE: ANSWERED** — The `own` toggle in the planner changes the entire CAPEX/OPEX structure: land purchase replaces lease deposit, mortgage replaces rent, and property appreciation is modelled in terminal value.
+
 A critical capital allocation decision. Buying the property ties up far more capital but gives you residual asset value and eliminates landlord risk. Leasing preserves capital for operations and expansion but exposes you to rent increases and lease termination risk. Model both scenarios and compare the risk-adjusted NPV. Also consider sale-and-leaseback if you build on owned land.
 
 ### Operating Leverage
 
+> **COVERAGE: ANSWERED** — The sensitivity grids explicitly show how a 10% utilization swing affects EBITDA and DSCR.
+
 A padel hall has high fixed costs (rent, staff base, debt service) and relatively low variable costs. This means profitability is extremely sensitive to utilization. Model the operating leverage explicitly — a 10% swing in utilization might cause a 25–30% swing in EBITDA. This is both the opportunity and the risk.
 
 ### Depreciation & Tax Shield
 
+> **COVERAGE: GAP** — All planner calculations are pre-tax (Tier 2 gap #6). Adding a depreciation schedule and effective tax rate would materially improve the financial model for Germany: 7-year depreciation for courts/equipment, ~30% effective tax rate (15% KSt + 14% GewSt). This would require jurisdiction selection (start with Germany only). Non-trivial but the most common user geography.
+
 Padel courts depreciate over 7–10 years, building fit-out over 10–15 years, equipment over 3–5 years. The depreciation tax shield is meaningful. Interest expense on debt is also tax-deductible. Model your effective tax rate and the present value of these shields — they improve your after-tax returns materially.
 
 ### Working Capital Cycle
 
+> **COVERAGE: ANSWERED** — Pre-opening cash burn and ramp-up period are modelled in the 60-month cash flow. Working capital reserve is a CAPEX line item.
+
 Padel halls are generally working-capital-light (customers pay at booking or on arrival, you pay suppliers on 30–60 day terms). But model the initial ramp-up period where you're carrying costs before revenue reaches steady state. The pre-opening cash burn and first 6–12 months of sub-breakeven operation is where most of your working capital risk sits.
 
 ### Scenario & Sensitivity Analysis
 
+> **COVERAGE: ANSWERED** — Utilization sensitivity (12 steps) and price sensitivity (8 steps) grids are shown, both with DSCR. Bear/base/bull narrative is covered in the BP export.
+
 Model three scenarios (bear/base/bull) varying utilization, pricing, and cost overruns simultaneously. Identify the breakeven utilization rate precisely. A Monte Carlo simulation on the key variables (utilization, average price, construction cost, ramp-up speed) gives you a probability distribution of outcomes rather than a single point estimate.
 
 ### Exit Strategy & Valuation
 
+> **COVERAGE: ANSWERED** — Hold period, exit EBITDA multiple, terminal value, MOIC, and value bridge are all displayed in the planner.
+
 Think about this upfront. Are you building to hold and cash-flow, or building to sell to a consolidator or franchise operator? The exit multiple depends heavily on whether you've built a transferable business (brand, systems, trained staff, long lease) or an owner-dependent operation. Multi-site operators and franchise groups trade at higher multiples (6–10x EBITDA) than single sites.
 
 ### Optionality Value
 
+> **COVERAGE: GAP** — Real option value (second location, franchise, repurposing) is mentioned in the BP narrative but not quantified. Out of scope for the planner; noting as a caveat in the BP export text would be sufficient.
+
 A successful first hall gives you the option to expand — second location, franchise model, or selling the playbook. This real option has value that a static DCF doesn't capture. Similarly, if you own the land/building, you have conversion optionality (the building could be repurposed if padel demand fades).
 
 ### Counterparty & Concentration Risk
 
+> **COVERAGE: PARTIAL** — The planner models this implicitly (single-site, single-sport), and DSCR warnings flag over-leverage. No explicit counterparty risk section. Mentioning it in the BP risk narrative would be low-effort coverage.
+
 You're exposed to a single landlord (lease risk), a single location (demand risk), and potentially a single sport (trend risk). A bank or sophisticated investor will flag all three. Mitigants include long lease terms with caps on escalation, diversified revenue streams (F&B, events, coaching), and contractual protections.
 
 ### Subsidies & Grants
 
+> **COVERAGE: GAP — Tier 1 priority.** `research/padel-hall-economics.md` documents: Landessportbund grants (up to 35% CAPEX for registered sports clubs), KfW 150 low-interest loans, and a worked example: €258K gross → €167K net CAPEX after grant. The planner has no grants input. Quick wins: (a) add a "Fördermittel" accordion section to DE city articles; (b) add a grant percentage input to the planner CAPEX section (reduces total investment and boosts IRR). Note: grant eligibility depends on buyer type (Tier 1 gap #2) — sports clubs qualify, commercial operators typically do not.
+
 Many municipalities and national sports bodies offer grants or subsidized loans for sports infrastructure. In some European countries, this can cover 10–30% of CAPEX. Factor this into your funding plan — it's essentially free equity that boosts your returns.
 
 ### VAT & Tax Structuring
 
+> **COVERAGE: GAP** — Not modelled. Germany-specific: court rental may qualify for §4 Nr. 22 UStG sports VAT exemption (0% VAT) if operated by a non-commercial entity; commercial operators pay 19% VAT on court rental. F&B is 19% (or 7% eat-in). Getting this wrong materially affects revenue net-of-VAT. Worth a callout in the legal/regulatory article (Tier 2 gap #7).
+
 Depending on your jurisdiction, court rental may be VAT-exempt or reduced-rate (sports exemption), while F&B is standard-rated. This affects pricing strategy and cash flow. The entity structure (single GmbH, holding structure, partnership) has implications for profit extraction, liability, and eventual exit taxation. Worth getting tax advice early.
 
 ### Insurance & Business Interruption
 
+> **COVERAGE: PARTIAL** — Insurance is a planner OPEX line item. No guidance on coverage types or BI insurance sizing. Low priority to expand.
+
 Price in comprehensive insurance — property, liability, business interruption. A fire or structural issue that shuts you down for 3 months could be existential without BI coverage. This is a real cost that's often underestimated.
 
 ### Covenant Compliance
 
+> **COVERAGE: ANSWERED** — DSCR is computed for each of the 5 years and shown with a warning band. LTV warnings are also displayed.
+
 If you take bank debt, you'll likely face covenants — DSCR (debt service coverage ratio) minimums of 1.2–1.5x, leverage caps, possibly revenue milestones. Model your covenant headroom explicitly. Breaching a covenant in year 1 during ramp-up is a real risk if you've over-leveraged.
 
 ### Inflation Sensitivity
 
+> **COVERAGE: ANSWERED** — The planner has separate `revenue_growth_rate` and `opex_growth_rate` inputs, allowing asymmetric inflation scenarios.
+
 Energy costs, staff wages, and maintenance all inflate. Can you pass these through via price increases without killing utilization? Model a scenario where costs inflate at 3–5% but you can only raise prices by 2–3%.
 
 ### Residual / Liquidation Value
 
+> **COVERAGE: PARTIAL** — Terminal/exit value is modelled (EBITDA multiple). A true liquidation scenario (courts resale, lease termination penalties, building write-off) is not separately modelled. Sufficient for the current product.
+
 In a downside scenario, what are your assets worth? Padel courts have some resale value. Building improvements are largely sunk. If you've leased, your downside is limited to equity invested plus any personal guarantees. If you've bought property, the real estate retains value but may take time to sell. Model the liquidation scenario honestly.
 
 ---
@@ -280,24 +385,34 @@ In a downside scenario, what are your assets worth? Padel courts have some resal
 
 ### Existential Risks
 
+> **COVERAGE: PARTIAL** — Trend/fad risk is acknowledged in the BP narrative but not quantified (Tier 3 gap #13). FIP/Playtomic data (7,187 new courts globally in 2024, +26% YoY new clubs) exists but long-term quantification is inherently speculative. Force majeure/pandemic risk is not addressed; a reserve fund input (CAPEX working capital) provides partial mitigation modelling.
+
 - **Trend / Fad Risk**: Padel is booming now, but so did squash in the 1980s. You're locking in a 10–15 year investment thesis on a sport that may plateau or decline. The key question is whether padel reaches self-sustaining critical mass in your market or stays a novelty. If utilization drops from 65% to 35% in year 5 because the hype fades, your entire model breaks. This is largely unhedgeable.
 
 - **Force Majeure / Pandemic Risk**: COVID shut down indoor sports facilities for months. Insurance may not cover it. Having enough cash reserves or credit facilities to survive 3–6 months of zero revenue is prudent.
 
 ### Construction & Development Risks
 
+> **COVERAGE: PARTIAL** — A contingency/overrun percentage is a planner CAPEX input. Delay cost (carrying costs during construction) is not explicitly modelled.
+
 - **Construction Cost Overruns & Delays**: Sports facility builds routinely overrun by 15–30%. Every month of delay is a month of carrying costs (rent, debt service, staff already hired) with zero revenue. Build a contingency buffer of 15–20% of CAPEX minimum and negotiate fixed-price construction contracts where possible.
 
 ### Property & Lease Risks
 
+> **COVERAGE: GAP** — No lease-term inputs or landlord risk guidance. The `own` toggle handles the buy scenario. A callout in the BP template about minimum lease length (15+ years, renewal options) would be useful but is low priority.
+
 - **Landlord Risk**: If you're leasing, you're spending €500k+ fitting out someone else's building. What happens if the landlord sells, goes bankrupt, or refuses to renew? You need a long lease (15+ years), with options to renew, and ideally a step-in right or compensation clause for tenant improvements.
 
 ### Competitive Risks
 
+> **COVERAGE: PARTIAL** — City articles show existing venue density and Opportunity Score. The planner does not model a "competitor opens nearby" scenario. A simple sensitivity scenario (utilization drop) is the best proxy available in the current model.
+
 - **Cannibalization from New Entrants**: Your success is visible — full courts, long waitlists. This attracts competitors. Someone opens a new hall 10 minutes away, and your utilization drops from 70% to 50%. There's no real moat in padel besides location, community loyalty, and service quality. Model what happens when a competitor opens nearby in year 3.
 
 ### Operational Risks
 
+> **COVERAGE: PARTIAL** — Court maintenance OPEX and maintenance reserve are planner inputs. F&B, staffing, and booking platform risks are not addressed. See Tier 2 gaps #5 (booking platform strategy) and #9 (staffing plan). Seasonality is fully modelled (12-month outdoor seasonal curve; monthly cash flow).
+
 - **Key Person Dependency**: If the whole operation depends on one founder-operator or one star coach who brings all the members, that's a fragility. Illness, burnout, or departure can crater the business.
 
 - **Staff Retention & Labor Market**: Good facility managers, coaches, and front-desk staff with a hospitality mindset are hard to find and keep. Turnover is expensive and disruptive. In tight labor markets, wage pressure can erode margins.
@@ -310,6 +425,8 @@ In a downside scenario, what are your assets worth? Padel courts have some resal
 
 ### Financial Risks
 
+> **COVERAGE: PARTIAL** — Energy volatility: energy OPEX is a modelled input with growth rate, but no locking/hedging guidance. Financing environment: debt rate is a planner input; stress-test at +2% is covered by the sensitivity grid indirectly. Personal guarantee and customer concentration: not addressed (out of scope for data-driven product). Inflation pass-through: answered (separate revenue vs OPEX growth rates).
+
 - **Energy Price Volatility**: Indoor padel halls consume significant energy. Energy costs spiking can destroy margins. Consider locking in energy contracts, investing in solar panels, or using LED lighting and efficient HVAC to reduce exposure.
 
 - **Financing Environment**: If interest rates rise between when you plan the project and when you draw down the loan, your debt service costs increase. Lock in rates where possible, or stress-test your model at rates 2% higher than current.
@@ -322,22 +439,32 @@ In a downside scenario, what are your assets worth? Padel courts have some resal
 
 ### Regulatory & Legal Risks
 
+> **COVERAGE: GAP — Tier 2 priority.** Noise complaints (TA Lärm), injury liability, and permit risks are all unaddressed. A Germany-first regulatory checklist article would cover: Bauantrag, Nutzungsänderung, TA Lärm compliance, GmbH vs UG formation, Gewerbeerlaubnis, §4 Nr. 22 UStG sports VAT, and Gaststättengesetz (liquor license). High value for Phase 1/2 users who are evaluating feasibility.
+
 - **Noise Complaints**: Padel is loud — the ball hitting glass walls generates significant noise. Neighbors can complain and municipal authorities can impose operating hour restrictions or require expensive sound mitigation. Check local noise ordinances thoroughly before committing.
 
 - **Injury Liability**: Padel involves glass walls, fast-moving balls, and quick lateral movement. Player injuries happen. Proper insurance, waiver systems, and court maintenance protocols are essential.
 
 ### Technology & Platform Risks
 
+> **COVERAGE: GAP — Tier 2 priority.** Booking platform dependency is a real decision point for operators (Playtomic commission ~15–20%, data ownership implications, competitor steering risk). We scrape Playtomic and know it intimately. A standalone article "Playtomic vs Matchi vs eigenes System" or a section in the BP template would address this. The booking system commission rate is already a planner input — we could link to a decision guide from there.
+
 - **Booking Platform Dependency**: If you rely on a third-party booking platform like Playtomic, you're giving them access to your customer relationships and paying commission. They could raise fees, change terms, or steer demand to competitors.
 
 ### Reputational Risks
 
+> **COVERAGE: GAP** — Not addressed. Out of scope for a data-driven product; operational advice.
+
 - **Brand / Reputation Risk**: One viral negative review, a hygiene issue, a safety incident, or a social media complaint can disproportionately hurt a local leisure business.
 
 ### Currency & External Risks
 
+> **COVERAGE: GAP** — FX risk from Spanish/Italian manufacturers is not modelled. Minor; most German buyers pay in EUR. Note in BP template as a caveat if importing outside Eurozone.
+
 - **Currency Risk**: Relevant if importing courts or equipment from another currency zone — padel court manufacturers are often Spanish or Italian, so FX moves can affect CAPEX if you're outside the Eurozone.
 
 ### Opportunity Cost
 
+> **COVERAGE: PARTIAL** — IRR and NPV implicitly address opportunity cost (you enter the hurdle rate as WACC/cost of equity). No explicit comparison against passive investment alternatives is shown. Sufficient for current product.
+
 The capital, time, and energy you put into this project could go elsewhere. If you could earn 8–10% passively in diversified investments, a padel hall needs to deliver meaningfully more on a risk-adjusted basis to justify the concentration, illiquidity, and personal time commitment.

scripts/download_gisco_nuts.py

@@ -1,81 +0,0 @@
-"""Download NUTS-2 boundary GeoJSON from Eurostat GISCO.
-
-One-time (or on NUTS revision) download of NUTS-2 boundary polygons used for
-spatial income resolution in dim_locations. Stored uncompressed because DuckDB's
-ST_Read function cannot read gzipped files.
-
-NUTS classification changes approximately every 7 years. Current revision: 2021.
-
-Output: {LANDING_DIR}/gisco/2024/01/nuts2_boundaries.geojson  (~5MB, uncompressed)
-
-Usage:
-    uv run python scripts/download_gisco_nuts.py [--landing-dir data/landing]
-
-Idempotent: skips download if the file already exists.
-"""
-
-import argparse
-import sys
-from pathlib import Path
-
-import niquests
-
-# NUTS 2021 revision, 20M scale (1:20,000,000), WGS84 (EPSG:4326), LEVL_2 only.
-# 20M resolution gives simplified polygons that are fast for point-in-polygon
-# matching without sacrificing accuracy at the NUTS-2 boundary level.
-GISCO_URL = (
-    "https://gisco-services.ec.europa.eu/distribution/v2/nuts/geojson/"
-    "NUTS_RG_20M_2021_4326_LEVL_2.geojson"
-)
-
-# Fixed partition: NUTS boundaries are a static reference file, not time-series data.
-# Use the NUTS revision year as the partition to make the source version explicit.
-DEST_REL_PATH = "gisco/2024/01/nuts2_boundaries.geojson"
-
-HTTP_TIMEOUT_SECONDS = 120
-
-
-def download_nuts_boundaries(landing_dir: Path) -> None:
-    dest = landing_dir / DEST_REL_PATH
-    if dest.exists():
-        print(f"Already exists (skipping): {dest}")
-        return
-
-    dest.parent.mkdir(parents=True, exist_ok=True)
-    print(f"Downloading NUTS-2 boundaries from GISCO...")
-    print(f"  URL: {GISCO_URL}")
-
-    with niquests.Session() as session:
-        resp = session.get(GISCO_URL, timeout=HTTP_TIMEOUT_SECONDS)
-        resp.raise_for_status()
-
-    content = resp.content
-    assert len(content) > 100_000, (
-        f"GeoJSON too small ({len(content)} bytes) — download may have failed"
-    )
-    assert b'"FeatureCollection"' in content, "Response does not look like GeoJSON"
-
-    # Write uncompressed — ST_Read requires a plain file
-    tmp = dest.with_suffix(".geojson.tmp")
-    tmp.write_bytes(content)
-    tmp.rename(dest)
-
-    size_mb = len(content) / 1_000_000
-    print(f"  Written: {dest} ({size_mb:.1f} MB)")
-    print("Done. Run SQLMesh plan to rebuild stg_nuts2_boundaries.")
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--landing-dir", default="data/landing", type=Path)
-    args = parser.parse_args()
-
-    if not args.landing_dir.is_dir():
-        print(f"Error: landing dir does not exist: {args.landing_dir}", file=sys.stderr)
-        sys.exit(1)
-
-    download_nuts_boundaries(args.landing_dir)
-
-
-if __name__ == "__main__":
-    main()

transform/sqlmesh_padelnomics/macros/__init__.py

@@ -16,5 +16,92 @@ def padelnomics_glob(evaluator) -> str:
     return f"'{landing_dir}/padelnomics/**/*.csv.gz'"
 
 
-# Add one macro per landing zone subdirectory you create.
+# ── Country code helpers ─────────────────────────────────────────────────────
-# Pattern: def {source}_glob(evaluator) → f"'{landing_dir}/{source}/**/*.csv.gz'"
+# Shared lookup used by dim_cities and dim_locations.
+
+_COUNTRY_NAMES = {
+    "DE": "Germany", "ES": "Spain", "GB": "United Kingdom",
+    "FR": "France", "IT": "Italy", "PT": "Portugal",
+    "AT": "Austria", "CH": "Switzerland", "NL": "Netherlands",
+    "BE": "Belgium", "SE": "Sweden", "NO": "Norway",
+    "DK": "Denmark", "FI": "Finland", "US": "United States",
+    "AR": "Argentina", "MX": "Mexico", "AE": "UAE",
+    "AU": "Australia", "IE": "Ireland",
+}
+
+
+def _country_case(col: str) -> str:
+    """Build a CASE expression mapping ISO 3166-1 alpha-2 → English name."""
+    whens = "\n    ".join(
+        f"WHEN '{code}' THEN '{name}'" for code, name in _COUNTRY_NAMES.items()
+    )
+    return f"CASE {col}\n    {whens}\n    ELSE {col}\n  END"
+
+
+@macro()
+def country_name(evaluator, code_col) -> str:
+    """CASE expression: country code → English name.
+
+    Usage in SQL: @country_name(vc.country_code) AS country_name_en
+    """
+    return _country_case(str(code_col))
+
+
+@macro()
+def country_slug(evaluator, code_col) -> str:
+    """CASE expression: country code → URL-safe slug (lowercased, spaces → dashes).
+
+    Usage in SQL: @country_slug(vc.country_code) AS country_slug
+    """
+    return f"LOWER(REGEXP_REPLACE({_country_case(str(code_col))}, '[^a-zA-Z0-9]+', '-'))"
+
+
+@macro()
+def normalize_eurostat_country(evaluator, code_col) -> str:
+    """Normalize Eurostat country codes to ISO 3166-1 alpha-2: EL→GR, UK→GB.
+
+    Usage in SQL: @normalize_eurostat_country(geo_code) AS country_code
+    """
+    col = str(code_col)
+    return f"CASE {col} WHEN 'EL' THEN 'GR' WHEN 'UK' THEN 'GB' ELSE {col} END"
+
+
+@macro()
+def normalize_eurostat_nuts(evaluator, code_col) -> str:
+    """Normalize NUTS code prefix: EL→GR, UK→GB, preserving the suffix.
+
+    Usage in SQL: @normalize_eurostat_nuts(geo_code) AS nuts_code
+    """
+    col = str(code_col)
+    return (
+        f"CASE"
+        f" WHEN {col} LIKE 'EL%' THEN 'GR' || SUBSTR({col}, 3)"
+        f" WHEN {col} LIKE 'UK%' THEN 'GB' || SUBSTR({col}, 3)"
+        f" ELSE {col}"
+        f" END"
+    )
+
+
+@macro()
+def infer_country_from_coords(evaluator, lat_col, lon_col) -> str:
+    """Infer ISO country code from lat/lon using bounding boxes for 8 European markets.
+
+    Usage in SQL:
+      COALESCE(NULLIF(TRIM(UPPER(country_code)), ''),
+               @infer_country_from_coords(lat, lon)) AS country_code
+    """
+    lat = str(lat_col)
+    lon = str(lon_col)
+    return (
+        f"CASE"
+        f" WHEN {lat} BETWEEN 47.27 AND 55.06 AND {lon} BETWEEN  5.87 AND 15.04 THEN 'DE'"
+        f" WHEN {lat} BETWEEN 35.95 AND 43.79 AND {lon} BETWEEN -9.39 AND  4.33 THEN 'ES'"
+        f" WHEN {lat} BETWEEN 49.90 AND 60.85 AND {lon} BETWEEN -8.62 AND  1.77 THEN 'GB'"
+        f" WHEN {lat} BETWEEN 41.36 AND 51.09 AND {lon} BETWEEN -5.14 AND  9.56 THEN 'FR'"
+        f" WHEN {lat} BETWEEN 45.46 AND 47.80 AND {lon} BETWEEN  5.96 AND 10.49 THEN 'CH'"
+        f" WHEN {lat} BETWEEN 46.37 AND 49.02 AND {lon} BETWEEN  9.53 AND 17.16 THEN 'AT'"
+        f" WHEN {lat} BETWEEN 36.35 AND 47.09 AND {lon} BETWEEN  6.62 AND 18.51 THEN 'IT'"
+        f" WHEN {lat} BETWEEN 37.00 AND 42.15 AND {lon} BETWEEN -9.50 AND -6.19 THEN 'PT'"
+        f" ELSE NULL"
+        f" END"
+    )

transform/sqlmesh_padelnomics/models/foundation/dim_cities.sql

@@ -110,55 +110,9 @@ SELECT
   vc.city_slug,
   vc.city_name,
   -- Human-readable country name for pSEO templates and internal linking
-  CASE vc.country_code
+  @country_name(vc.country_code)                             AS country_name_en,
-    WHEN 'DE' THEN 'Germany'
-    WHEN 'ES' THEN 'Spain'
-    WHEN 'GB' THEN 'United Kingdom'
-    WHEN 'FR' THEN 'France'
-    WHEN 'IT' THEN 'Italy'
-    WHEN 'PT' THEN 'Portugal'
-    WHEN 'AT' THEN 'Austria'
-    WHEN 'CH' THEN 'Switzerland'
-    WHEN 'NL' THEN 'Netherlands'
-    WHEN 'BE' THEN 'Belgium'
-    WHEN 'SE' THEN 'Sweden'
-    WHEN 'NO' THEN 'Norway'
-    WHEN 'DK' THEN 'Denmark'
-    WHEN 'FI' THEN 'Finland'
-    WHEN 'US' THEN 'United States'
-    WHEN 'AR' THEN 'Argentina'
-    WHEN 'MX' THEN 'Mexico'
-    WHEN 'AE' THEN 'UAE'
-    WHEN 'AU' THEN 'Australia'
-    WHEN 'IE' THEN 'Ireland'
-    ELSE vc.country_code
-  END                                                        AS country_name_en,
   -- URL-safe country slug
-  LOWER(REGEXP_REPLACE(
+  @country_slug(vc.country_code)                             AS country_slug,
-    CASE vc.country_code
-      WHEN 'DE' THEN 'Germany'
-      WHEN 'ES' THEN 'Spain'
-      WHEN 'GB' THEN 'United Kingdom'
-      WHEN 'FR' THEN 'France'
-      WHEN 'IT' THEN 'Italy'
-      WHEN 'PT' THEN 'Portugal'
-      WHEN 'AT' THEN 'Austria'
-      WHEN 'CH' THEN 'Switzerland'
-      WHEN 'NL' THEN 'Netherlands'
-      WHEN 'BE' THEN 'Belgium'
-      WHEN 'SE' THEN 'Sweden'
-      WHEN 'NO' THEN 'Norway'
-      WHEN 'DK' THEN 'Denmark'
-      WHEN 'FI' THEN 'Finland'
-      WHEN 'US' THEN 'United States'
-      WHEN 'AR' THEN 'Argentina'
-      WHEN 'MX' THEN 'Mexico'
-      WHEN 'AE' THEN 'UAE'
-      WHEN 'AU' THEN 'Australia'
-      WHEN 'IE' THEN 'Ireland'
-      ELSE vc.country_code
-    END, '[^a-zA-Z0-9]+', '-'
-  ))                                                         AS country_slug,
   vc.centroid_lat                                            AS lat,
   vc.centroid_lon                                            AS lon,
   -- Population cascade: Eurostat EU > US Census > ONS UK > GeoNames string > GeoNames spatial > 0.

transform/sqlmesh_padelnomics/models/foundation/dim_locations.sql

@@ -215,55 +215,9 @@ SELECT
   l.geoname_id,
   l.country_code,
   -- Human-readable country name (consistent with dim_cities)
-  CASE l.country_code
+  @country_name(l.country_code)                                          AS country_name_en,
-    WHEN 'DE' THEN 'Germany'
-    WHEN 'ES' THEN 'Spain'
-    WHEN 'GB' THEN 'United Kingdom'
-    WHEN 'FR' THEN 'France'
-    WHEN 'IT' THEN 'Italy'
-    WHEN 'PT' THEN 'Portugal'
-    WHEN 'AT' THEN 'Austria'
-    WHEN 'CH' THEN 'Switzerland'
-    WHEN 'NL' THEN 'Netherlands'
-    WHEN 'BE' THEN 'Belgium'
-    WHEN 'SE' THEN 'Sweden'
-    WHEN 'NO' THEN 'Norway'
-    WHEN 'DK' THEN 'Denmark'
-    WHEN 'FI' THEN 'Finland'
-    WHEN 'US' THEN 'United States'
-    WHEN 'AR' THEN 'Argentina'
-    WHEN 'MX' THEN 'Mexico'
-    WHEN 'AE' THEN 'UAE'
-    WHEN 'AU' THEN 'Australia'
-    WHEN 'IE' THEN 'Ireland'
-    ELSE l.country_code
-  END                                                                    AS country_name_en,
   -- URL-safe country slug
-  LOWER(REGEXP_REPLACE(
+  @country_slug(l.country_code)                                          AS country_slug,
-    CASE l.country_code
-      WHEN 'DE' THEN 'Germany'
-      WHEN 'ES' THEN 'Spain'
-      WHEN 'GB' THEN 'United Kingdom'
-      WHEN 'FR' THEN 'France'
-      WHEN 'IT' THEN 'Italy'
-      WHEN 'PT' THEN 'Portugal'
-      WHEN 'AT' THEN 'Austria'
-      WHEN 'CH' THEN 'Switzerland'
-      WHEN 'NL' THEN 'Netherlands'
-      WHEN 'BE' THEN 'Belgium'
-      WHEN 'SE' THEN 'Sweden'
-      WHEN 'NO' THEN 'Norway'
-      WHEN 'DK' THEN 'Denmark'
-      WHEN 'FI' THEN 'Finland'
-      WHEN 'US' THEN 'United States'
-      WHEN 'AR' THEN 'Argentina'
-      WHEN 'MX' THEN 'Mexico'
-      WHEN 'AE' THEN 'UAE'
-      WHEN 'AU' THEN 'Australia'
-      WHEN 'IE' THEN 'Ireland'
-      ELSE l.country_code
-    END, '[^a-zA-Z0-9]+', '-'
-  ))                                                                     AS country_slug,
   l.location_name,
   l.location_slug,
   l.lat,

transform/sqlmesh_padelnomics/models/staging/stg_income.sql

@@ -30,11 +30,7 @@ parsed AS (
 )
 SELECT
   -- Normalise to ISO 3166-1 alpha-2: EL→GR, UK→GB
-  CASE geo_code
+  @normalize_eurostat_country(geo_code) AS country_code,
-    WHEN 'EL' THEN 'GR'
-    WHEN 'UK' THEN 'GB'
-    ELSE geo_code
-  END                              AS country_code,
   ref_year,
   median_income_pps,
   extracted_date

transform/sqlmesh_padelnomics/models/staging/stg_nuts2_boundaries.sql

@@ -28,11 +28,7 @@ WITH raw AS (
 SELECT
   NUTS_ID                                      AS nuts2_code,
   -- Normalise country prefix to ISO 3166-1 alpha-2: EL→GR, UK→GB
-  CASE CNTR_CODE
+  @normalize_eurostat_country(CNTR_CODE)       AS country_code,
-    WHEN 'EL' THEN 'GR'
-    WHEN 'UK' THEN 'GB'
-    ELSE CNTR_CODE
-  END                                          AS country_code,
   NAME_LATN                                    AS region_name,
   geom                                         AS geometry,
   -- Pre-compute bounding box for efficient spatial pre-filter in dim_locations.

transform/sqlmesh_padelnomics/models/staging/stg_padel_courts.sql

@@ -48,17 +48,8 @@ deduped AS (
 with_country AS (
   SELECT
     osm_id, lat, lon,
-    COALESCE(NULLIF(TRIM(UPPER(country_code)), ''), CASE
+    COALESCE(NULLIF(TRIM(UPPER(country_code)), ''),
-      WHEN lat BETWEEN 47.27 AND 55.06 AND lon BETWEEN  5.87 AND 15.04 THEN 'DE'
+             @infer_country_from_coords(lat, lon)) AS country_code,
-      WHEN lat BETWEEN 35.95 AND 43.79 AND lon BETWEEN -9.39 AND  4.33 THEN 'ES'
-      WHEN lat BETWEEN 49.90 AND 60.85 AND lon BETWEEN -8.62 AND  1.77 THEN 'GB'
-      WHEN lat BETWEEN 41.36 AND 51.09 AND lon BETWEEN -5.14 AND  9.56 THEN 'FR'
-      WHEN lat BETWEEN 45.46 AND 47.80 AND lon BETWEEN  5.96 AND 10.49 THEN 'CH'
-      WHEN lat BETWEEN 46.37 AND 49.02 AND lon BETWEEN  9.53 AND 17.16 THEN 'AT'
-      WHEN lat BETWEEN 36.35 AND 47.09 AND lon BETWEEN  6.62 AND 18.51 THEN 'IT'
-      WHEN lat BETWEEN 37.00 AND 42.15 AND lon BETWEEN -9.50 AND -6.19 THEN 'PT'
-      ELSE NULL
-    END)                      AS country_code,
     NULLIF(TRIM(name), '')    AS name,
     NULLIF(TRIM(city_tag), '') AS city,
     postcode, operator_name, opening_hours, fee, extracted_date

transform/sqlmesh_padelnomics/models/staging/stg_regional_income.sql

@@ -30,11 +30,7 @@ parsed AS (
 )
 SELECT
   -- Normalise to ISO 3166-1 alpha-2 prefix: EL→GR, UK→GB
-  CASE
+  @normalize_eurostat_nuts(geo_code) AS nuts_code,
-    WHEN geo_code LIKE 'EL%' THEN 'GR' || SUBSTR(geo_code, 3)
-    WHEN geo_code LIKE 'UK%' THEN 'GB' || SUBSTR(geo_code, 3)
-    ELSE geo_code
-  END                              AS nuts_code,
   -- NUTS level: 3-char = NUTS-1, 4-char = NUTS-2
   LENGTH(geo_code) - 2             AS nuts_level,
   ref_year,

transform/sqlmesh_padelnomics/models/staging/stg_tennis_courts.sql

@@ -54,17 +54,8 @@ deduped AS (
 with_country AS (
   SELECT
     osm_id, lat, lon,
-    COALESCE(NULLIF(TRIM(UPPER(country_code)), ''), CASE
+    COALESCE(NULLIF(TRIM(UPPER(country_code)), ''),
-      WHEN lat BETWEEN 47.27 AND 55.06 AND lon BETWEEN  5.87 AND 15.04 THEN 'DE'
+             @infer_country_from_coords(lat, lon)) AS country_code,
-      WHEN lat BETWEEN 35.95 AND 43.79 AND lon BETWEEN -9.39 AND  4.33 THEN 'ES'
-      WHEN lat BETWEEN 49.90 AND 60.85 AND lon BETWEEN -8.62 AND  1.77 THEN 'GB'
-      WHEN lat BETWEEN 41.36 AND 51.09 AND lon BETWEEN -5.14 AND  9.56 THEN 'FR'
-      WHEN lat BETWEEN 45.46 AND 47.80 AND lon BETWEEN  5.96 AND 10.49 THEN 'CH'
-      WHEN lat BETWEEN 46.37 AND 49.02 AND lon BETWEEN  9.53 AND 17.16 THEN 'AT'
-      WHEN lat BETWEEN 36.35 AND 47.09 AND lon BETWEEN  6.62 AND 18.51 THEN 'IT'
-      WHEN lat BETWEEN 37.00 AND 42.15 AND lon BETWEEN -9.50 AND -6.19 THEN 'PT'
-      ELSE NULL
-    END)                       AS country_code,
     NULLIF(TRIM(name), '')     AS name,
     NULLIF(TRIM(city_tag), '') AS city,
     extracted_date

web/src/padelnomics/admin/pipeline_routes.py

@@ -35,7 +35,7 @@ from pathlib import Path
 from quart import Blueprint, flash, redirect, render_template, request, url_for
 
 from ..auth.routes import role_required
-from ..core import csrf_protect
+from ..core import count_where, csrf_protect
 
 logger = logging.getLogger(__name__)
 
@@ -298,11 +298,8 @@ async def _inject_sidebar_data():
     """Load unread inbox count for the admin sidebar badge."""
     from quart import g
 
-    from ..core import fetch_one
-
     try:
-        row = await fetch_one("SELECT COUNT(*) as cnt FROM inbound_emails WHERE is_read = 0")
+        g.admin_unread_count = await count_where("inbound_emails WHERE is_read = 0")
-        g.admin_unread_count = row["cnt"] if row else 0
     except Exception:
         g.admin_unread_count = 0
 
@@ -780,7 +777,8 @@ async def pipeline_trigger_extract():
     else:
         await enqueue("run_extraction")
 
-    is_htmx = request.headers.get("HX-Request") == "true"
+    is_htmx = (request.headers.get("HX-Request") == "true"
+               and request.headers.get("HX-Boosted") != "true")
     if is_htmx:
         return await _render_overview_partial()
 
@@ -1005,7 +1003,8 @@ async def pipeline_trigger_transform():
         (task_name,),
     )
     if existing:
-        is_htmx = request.headers.get("HX-Request") == "true"
+        is_htmx = (request.headers.get("HX-Request") == "true"
+                   and request.headers.get("HX-Boosted") != "true")
         if is_htmx:
             return await _render_transform_partial()
         await flash(f"A '{step}' task is already queued (task #{existing['id']}).", "warning")
@@ -1013,7 +1012,8 @@ async def pipeline_trigger_transform():
 
     await enqueue(task_name)
 
-    is_htmx = request.headers.get("HX-Request") == "true"
+    is_htmx = (request.headers.get("HX-Request") == "true"
+               and request.headers.get("HX-Boosted") != "true")
     if is_htmx:
         return await _render_transform_partial()
 

web/src/padelnomics/admin/pseo_routes.py

@@ -25,7 +25,7 @@ from ..content.health import (
     get_template_freshness,
     get_template_stats,
 )
-from ..core import csrf_protect, fetch_all, fetch_one
+from ..core import count_where, csrf_protect, fetch_all, fetch_one
 
 bp = Blueprint(
     "pseo",
@@ -41,8 +41,7 @@ async def _inject_sidebar_data():
     from quart import g
 
     try:
-        row = await fetch_one("SELECT COUNT(*) as cnt FROM inbound_emails WHERE is_read = 0")
+        g.admin_unread_count = await count_where("inbound_emails WHERE is_read = 0")
-        g.admin_unread_count = row["cnt"] if row else 0
     except Exception:
         g.admin_unread_count = 0
 
@@ -80,8 +79,7 @@ async def pseo_dashboard():
     total_published = sum(r["stats"]["published"] for r in template_rows)
     stale_count = sum(1 for f in freshness if f["status"] == "stale")
 
-    noindex_row = await fetch_one("SELECT COUNT(*) as cnt FROM articles WHERE noindex = 1")
+    noindex_count = await count_where("articles WHERE noindex = 1")
-    noindex_count = noindex_row["cnt"] if noindex_row else 0
 
     # Recent generation jobs — enough for the dashboard summary.
     jobs = await fetch_all(

web/src/padelnomics/admin/routes.py

@@ -28,6 +28,7 @@ from ..auth.routes import role_required
 from ..core import (
     EMAIL_ADDRESSES,
     config,
+    count_where,
     csrf_protect,
     execute,
     fetch_all,
@@ -91,8 +92,7 @@ async def _inject_admin_sidebar_data():
     """Load unread inbox count for sidebar badge on every admin page."""
     from quart import g
     try:
-        row = await fetch_one("SELECT COUNT(*) as cnt FROM inbound_emails WHERE is_read = 0")
+        g.admin_unread_count = await count_where("inbound_emails WHERE is_read = 0")
-        g.admin_unread_count = row["cnt"] if row else 0
     except Exception:
         logger.exception("Failed to load admin sidebar unread count")
         g.admin_unread_count = 0
@@ -114,76 +114,32 @@ async def get_dashboard_stats() -> dict:
     now = utcnow()
     today = now.date().isoformat()
     week_ago = (now - timedelta(days=7)).strftime("%Y-%m-%d %H:%M:%S")
-    users_total = await fetch_one("SELECT COUNT(*) as count FROM users WHERE deleted_at IS NULL")
-    users_today = await fetch_one(
-        "SELECT COUNT(*) as count FROM users WHERE created_at >= ? AND deleted_at IS NULL",
-        (today,)
-    )
-    users_week = await fetch_one(
-        "SELECT COUNT(*) as count FROM users WHERE created_at >= ? AND deleted_at IS NULL",
-        (week_ago,)
-    )
 
-    subs = await fetch_one(
+    # Two queries that aren't simple COUNT(*) — keep as fetch_one
-        "SELECT COUNT(*) as count FROM subscriptions WHERE status = 'active'"
+    planner_row = await fetch_one(
+        "SELECT COUNT(DISTINCT user_id) AS n FROM scenarios WHERE deleted_at IS NULL"
     )
-
+    credits_row = await fetch_one(
-    tasks_pending = await fetch_one("SELECT COUNT(*) as count FROM tasks WHERE status = 'pending'")
+        "SELECT COALESCE(SUM(ABS(delta)), 0) AS n FROM credit_ledger WHERE delta < 0"
-    tasks_failed = await fetch_one("SELECT COUNT(*) as count FROM tasks WHERE status = 'failed'")
-
-    # Lead funnel stats
-    leads_total = await fetch_one(
-        "SELECT COUNT(*) as count FROM lead_requests WHERE lead_type = 'quote'"
-    )
-    leads_new = await fetch_one(
-        "SELECT COUNT(*) as count FROM lead_requests WHERE status = 'new' AND lead_type = 'quote'"
-    )
-    leads_verified = await fetch_one(
-        "SELECT COUNT(*) as count FROM lead_requests WHERE verified_at IS NOT NULL AND lead_type = 'quote'"
-    )
-    leads_unlocked = await fetch_one(
-        "SELECT COUNT(*) as count FROM lead_requests WHERE unlock_count > 0 AND lead_type = 'quote'"
-    )
-
-    # Planner users
-    planner_users = await fetch_one(
-        "SELECT COUNT(DISTINCT user_id) as count FROM scenarios WHERE deleted_at IS NULL"
-    )
-
-    # Supplier stats
-    suppliers_claimed = await fetch_one(
-        "SELECT COUNT(*) as count FROM suppliers WHERE claimed_by IS NOT NULL"
-    )
-    suppliers_growth = await fetch_one(
-        "SELECT COUNT(*) as count FROM suppliers WHERE tier = 'growth'"
-    )
-    suppliers_pro = await fetch_one(
-        "SELECT COUNT(*) as count FROM suppliers WHERE tier = 'pro'"
-    )
-    total_credits_spent = await fetch_one(
-        "SELECT COALESCE(SUM(ABS(delta)), 0) as total FROM credit_ledger WHERE delta < 0"
-    )
-    leads_unlocked_by_suppliers = await fetch_one(
-        "SELECT COUNT(*) as count FROM lead_forwards"
     )
 
     return {
-        "users_total": users_total["count"] if users_total else 0,
+        "users_total": await count_where("users WHERE deleted_at IS NULL"),
-        "users_today": users_today["count"] if users_today else 0,
+        "users_today": await count_where("users WHERE created_at >= ? AND deleted_at IS NULL", (today,)),
-        "users_week": users_week["count"] if users_week else 0,
+        "users_week": await count_where("users WHERE created_at >= ? AND deleted_at IS NULL", (week_ago,)),
-        "active_subscriptions": subs["count"] if subs else 0,
+        "active_subscriptions": await count_where("subscriptions WHERE status = 'active'"),
-        "tasks_pending": tasks_pending["count"] if tasks_pending else 0,
+        "tasks_pending": await count_where("tasks WHERE status = 'pending'"),
-        "tasks_failed": tasks_failed["count"] if tasks_failed else 0,
+        "tasks_failed": await count_where("tasks WHERE status = 'failed'"),
-        "leads_total": leads_total["count"] if leads_total else 0,
+        "leads_total": await count_where("lead_requests WHERE lead_type = 'quote'"),
-        "leads_new": leads_new["count"] if leads_new else 0,
+        "leads_new": await count_where("lead_requests WHERE status = 'new' AND lead_type = 'quote'"),
-        "leads_verified": leads_verified["count"] if leads_verified else 0,
+        "leads_verified": await count_where("lead_requests WHERE verified_at IS NOT NULL AND lead_type = 'quote'"),
-        "leads_unlocked": leads_unlocked["count"] if leads_unlocked else 0,
+        "leads_unlocked": await count_where("lead_requests WHERE unlock_count > 0 AND lead_type = 'quote'"),
-        "planner_users": planner_users["count"] if planner_users else 0,
+        "planner_users": planner_row["n"] if planner_row else 0,
-        "suppliers_claimed": suppliers_claimed["count"] if suppliers_claimed else 0,
+        "suppliers_claimed": await count_where("suppliers WHERE claimed_by IS NOT NULL"),
-        "suppliers_growth": suppliers_growth["count"] if suppliers_growth else 0,
+        "suppliers_growth": await count_where("suppliers WHERE tier = 'growth'"),
-        "suppliers_pro": suppliers_pro["count"] if suppliers_pro else 0,
+        "suppliers_pro": await count_where("suppliers WHERE tier = 'pro'"),
-        "total_credits_spent": total_credits_spent["total"] if total_credits_spent else 0,
+        "total_credits_spent": credits_row["n"] if credits_row else 0,
-        "leads_unlocked_by_suppliers": leads_unlocked_by_suppliers["count"] if leads_unlocked_by_suppliers else 0,
+        "leads_unlocked_by_suppliers": await count_where("lead_forwards WHERE 1=1"),
     }
 
 
@@ -446,10 +402,7 @@ async def get_leads(
         params.append(f"-{days} days")
 
     where = " AND ".join(wheres)
-    count_row = await fetch_one(
+    total = await count_where(f"lead_requests WHERE {where}", tuple(params))
-        f"SELECT COUNT(*) as cnt FROM lead_requests WHERE {where}", tuple(params)
-    )
-    total = count_row["cnt"] if count_row else 0
 
     offset = (page - 1) * per_page
     rows = await fetch_all(
@@ -679,26 +632,14 @@ async def lead_new():
     return await render_template("admin/lead_form.html", data={}, statuses=LEAD_STATUSES)
 
 
-@bp.route("/leads/<int:lead_id>/forward", methods=["POST"])
+async def _forward_lead(lead_id: int, supplier_id: int) -> str | None:
-@role_required("admin")
+    """Forward a lead to a supplier. Returns error message or None on success."""
-@csrf_protect
-async def lead_forward(lead_id: int):
-    """Manually forward a lead to a supplier (no credit cost)."""
-    form = await request.form
-    supplier_id = int(form.get("supplier_id", 0))
-
-    if not supplier_id:
-        await flash("Select a supplier.", "error")
-        return redirect(url_for("admin.lead_detail", lead_id=lead_id))
-
-    # Check if already forwarded
     existing = await fetch_one(
         "SELECT 1 FROM lead_forwards WHERE lead_id = ? AND supplier_id = ?",
         (lead_id, supplier_id),
     )
     if existing:
-        await flash("Already forwarded to this supplier.", "warning")
+        return "Already forwarded to this supplier."
-        return redirect(url_for("admin.lead_detail", lead_id=lead_id))
 
     now = utcnow_iso()
     await execute(
@@ -710,14 +651,26 @@ async def lead_forward(lead_id: int):
         "UPDATE lead_requests SET unlock_count = unlock_count + 1, status = 'forwarded' WHERE id = ?",
         (lead_id,),
     )
-
-    # Enqueue forward email
     from ..worker import enqueue
-    await enqueue("send_lead_forward_email", {
+    await enqueue("send_lead_forward_email", {"lead_id": lead_id, "supplier_id": supplier_id})
-        "lead_id": lead_id,
+    return None
-        "supplier_id": supplier_id,
-    })
 
+
+@bp.route("/leads/<int:lead_id>/forward", methods=["POST"])
+@role_required("admin")
+@csrf_protect
+async def lead_forward(lead_id: int):
+    """Manually forward a lead to a supplier (no credit cost)."""
+    form = await request.form
+    supplier_id = int(form.get("supplier_id", 0))
+    if not supplier_id:
+        await flash("Select a supplier.", "error")
+        return redirect(url_for("admin.lead_detail", lead_id=lead_id))
+
+    error = await _forward_lead(lead_id, supplier_id)
+    if error:
+        await flash(error, "warning")
+    else:
         await flash("Lead forwarded to supplier.", "success")
     return redirect(url_for("admin.lead_detail", lead_id=lead_id))
 
@@ -751,25 +704,9 @@ async def lead_forward_htmx(lead_id: int):
         return Response("Select a supplier.", status=422)
     supplier_id = int(supplier_id_str)
 
-    existing = await fetch_one(
+    error = await _forward_lead(lead_id, supplier_id)
-        "SELECT 1 FROM lead_forwards WHERE lead_id = ? AND supplier_id = ?",
+    if error:
-        (lead_id, supplier_id),
+        return Response(error, status=422)
-    )
-    if existing:
-        return Response("Already forwarded to this supplier.", status=422)
-
-    now = utcnow_iso()
-    await execute(
-        """INSERT INTO lead_forwards (lead_id, supplier_id, credit_cost, status, created_at)
-           VALUES (?, ?, 0, 'sent', ?)""",
-        (lead_id, supplier_id, now),
-    )
-    await execute(
-        "UPDATE lead_requests SET unlock_count = unlock_count + 1, status = 'forwarded' WHERE id = ?",
-        (lead_id,),
-    )
-    from ..worker import enqueue
-    await enqueue("send_lead_forward_email", {"lead_id": lead_id, "supplier_id": supplier_id})
 
     lead = await get_lead_detail(lead_id)
     return await render_template(
@@ -929,13 +866,10 @@ async def get_suppliers_list(
 
 async def get_supplier_stats() -> dict:
     """Get aggregate supplier stats for the admin list header."""
-    claimed = await fetch_one("SELECT COUNT(*) as cnt FROM suppliers WHERE claimed_by IS NOT NULL")
-    growth = await fetch_one("SELECT COUNT(*) as cnt FROM suppliers WHERE tier = 'growth'")
-    pro = await fetch_one("SELECT COUNT(*) as cnt FROM suppliers WHERE tier = 'pro'")
     return {
-        "claimed": claimed["cnt"] if claimed else 0,
+        "claimed": await count_where("suppliers WHERE claimed_by IS NOT NULL"),
-        "growth": growth["cnt"] if growth else 0,
+        "growth": await count_where("suppliers WHERE tier = 'growth'"),
-        "pro": pro["cnt"] if pro else 0,
+        "pro": await count_where("suppliers WHERE tier = 'pro'"),
     }
 
 
@@ -1017,11 +951,7 @@ async def supplier_detail(supplier_id: int):
         (supplier_id,),
     )
 
-    enquiry_row = await fetch_one(
+    enquiry_count = await count_where("supplier_enquiries WHERE supplier_id = ?", (supplier_id,))
-        "SELECT COUNT(*) as cnt FROM supplier_enquiries WHERE supplier_id = ?",
-        (supplier_id,),
-    )
-    enquiry_count = enquiry_row["cnt"] if enquiry_row else 0
 
     # Email activity timeline — correlate by contact_email (no FK)
     timeline = []
@@ -1239,7 +1169,6 @@ _PRODUCT_CATEGORIES = [
 @role_required("admin")
 async def billing_products():
     """Read-only overview of Paddle products, subscriptions, and revenue proxies."""
-    active_subs_row = await fetch_one("SELECT COUNT(*) as cnt FROM subscriptions WHERE status = 'active'")
     mrr_row = await fetch_one(
         """SELECT COALESCE(SUM(
                CASE WHEN pp.key LIKE '%_yearly' THEN pp.price_cents / 12
@@ -1249,14 +1178,12 @@ async def billing_products():
            JOIN paddle_products pp ON s.plan = pp.key
            WHERE s.status = 'active' AND pp.billing_type = 'subscription'"""
     )
-    active_boosts_row = await fetch_one("SELECT COUNT(*) as cnt FROM supplier_boosts WHERE status = 'active'")
-    bp_exports_row = await fetch_one("SELECT COUNT(*) as cnt FROM business_plan_exports WHERE status = 'completed'")
 
     stats = {
-        "active_subs": (active_subs_row or {}).get("cnt", 0),
+        "active_subs": await count_where("subscriptions WHERE status = 'active'"),
         "mrr_cents": (mrr_row or {}).get("total_cents", 0),
-        "active_boosts": (active_boosts_row or {}).get("cnt", 0),
+        "active_boosts": await count_where("supplier_boosts WHERE status = 'active'"),
-        "bp_exports": (bp_exports_row or {}).get("cnt", 0),
+        "bp_exports": await count_where("business_plan_exports WHERE status = 'completed'"),
     }
 
     products_rows = await fetch_all("SELECT * FROM paddle_products ORDER BY key")
@@ -1342,23 +1269,18 @@ async def get_email_log(
 
 async def get_email_stats() -> dict:
     """Aggregate email stats for the list header."""
-    total = await fetch_one("SELECT COUNT(*) as cnt FROM email_log")
-    delivered = await fetch_one("SELECT COUNT(*) as cnt FROM email_log WHERE last_event = 'delivered'")
-    bounced = await fetch_one("SELECT COUNT(*) as cnt FROM email_log WHERE last_event = 'bounced'")
     today = utcnow().date().isoformat()
-    sent_today = await fetch_one("SELECT COUNT(*) as cnt FROM email_log WHERE created_at >= ?", (today,))
     return {
-        "total": total["cnt"] if total else 0,
+        "total": await count_where("email_log WHERE 1=1"),
-        "delivered": delivered["cnt"] if delivered else 0,
+        "delivered": await count_where("email_log WHERE last_event = 'delivered'"),
-        "bounced": bounced["cnt"] if bounced else 0,
+        "bounced": await count_where("email_log WHERE last_event = 'bounced'"),
-        "sent_today": sent_today["cnt"] if sent_today else 0,
+        "sent_today": await count_where("email_log WHERE created_at >= ?", (today,)),
     }
 
 
 async def get_unread_count() -> int:
     """Count unread inbound emails."""
-    row = await fetch_one("SELECT COUNT(*) as cnt FROM inbound_emails WHERE is_read = 0")
+    return await count_where("inbound_emails WHERE is_read = 0")
-    return row["cnt"] if row else 0
 
 
 @bp.route("/emails")
@@ -1824,11 +1746,7 @@ async def template_detail(slug: str):
     columns = await get_table_columns(config["data_table"])
     sample_rows = await fetch_template_data(config["data_table"], limit=10)
 
-    # Count generated articles
+    generated_count = await count_where("articles WHERE template_slug = ?", (slug,))
-    row = await fetch_one(
-        "SELECT COUNT(*) as cnt FROM articles WHERE template_slug = ?", (slug,),
-    )
-    generated_count = row["cnt"] if row else 0
 
     return await render_template(
         "admin/template_detail.html",
@@ -1959,8 +1877,8 @@ async def _query_scenarios(search: str, country: str, venue_type: str) -> tuple[
         f"SELECT * FROM published_scenarios WHERE {where} ORDER BY created_at DESC LIMIT 500",
         tuple(params),
     )
-    total_row = await fetch_one("SELECT COUNT(*) as cnt FROM published_scenarios")
+    total = await count_where("published_scenarios WHERE 1=1")
-    return rows, (total_row["cnt"] if total_row else 0)
+    return rows, total
 
 
 @bp.route("/scenarios")
@@ -2203,6 +2121,27 @@ _ARTICLES_DIR = Path(__file__).parent.parent.parent.parent.parent / "data" / "co
 _FRONTMATTER_RE = re.compile(r"^---\s*\n(.*?)\n---\s*\n", re.DOTALL)
 
 
+def _find_article_md(slug: str) -> Path | None:
+    """Return the Path of the .md file whose frontmatter slug matches, or None.
+
+    Tries the exact name first ({slug}.md), then scans _ARTICLES_DIR for any
+    file whose YAML frontmatter contains 'slug: <slug>'. This handles the
+    common pattern where files are named {slug}-{lang}.md but the frontmatter
+    slug omits the language suffix.
+    """
+    if not _ARTICLES_DIR.is_dir():
+        return None
+    exact = _ARTICLES_DIR / f"{slug}.md"
+    if exact.exists():
+        return exact
+    for path in _ARTICLES_DIR.glob("*.md"):
+        raw = path.read_text(encoding="utf-8")
+        m = _FRONTMATTER_RE.match(raw)
+        if m and f"slug: {slug}" in m.group(1):
+            return path
+    return None
+
+
 async def _sync_static_articles() -> None:
     """Upsert static .md articles from data/content/articles/ into the DB.
 
@@ -2556,7 +2495,7 @@ async def article_new():
         await flash(f"Article '{title}' created.", "success")
         return redirect(url_for("admin.articles"))
 
-    return await render_template("admin/article_form.html", data={}, editing=False)
+    return await render_template("admin/article_form.html", data={}, editing=False, body_html="")
 
 
 @bp.route("/articles/<int:article_id>/edit", methods=["GET", "POST"])
@@ -2626,18 +2565,42 @@ async def article_edit(article_id: int):
 
     # Load markdown source if available (manual or generated)
     from ..content.routes import BUILD_DIR as CONTENT_BUILD_DIR
-    md_path = Path("data/content/articles") / f"{article['slug']}.md"
+    md_path = _find_article_md(article["slug"])
-    if not md_path.exists():
+    if md_path is None:
         lang = article["language"] or "en"
-        md_path = CONTENT_BUILD_DIR / lang / "md" / f"{article['slug']}.md"
+        fallback = CONTENT_BUILD_DIR / lang / "md" / f"{article['slug']}.md"
-    body = md_path.read_text() if md_path.exists() else ""
+        md_path = fallback if fallback.exists() else None
+    raw = md_path.read_text() if md_path else ""
+    # Strip YAML frontmatter so only the prose body appears in the editor
+    m = _FRONTMATTER_RE.match(raw)
+    body = raw[m.end():].lstrip("\n") if m else raw
+
+    body_html = mistune.html(body) if body else ""
 
     data = {**dict(article), "body": body}
     return await render_template(
-        "admin/article_form.html", data=data, editing=True, article_id=article_id,
+        "admin/article_form.html",
+        data=data,
+        editing=True,
+        article_id=article_id,
+        body_html=body_html,
     )
 
 
+@bp.route("/articles/preview", methods=["POST"])
+@role_required("admin")
+@csrf_protect
+async def article_preview():
+    """Render markdown body to HTML for the live editor preview panel."""
+    from markupsafe import Markup
+    form = await request.form
+    body = form.get("body", "")
+    m = _FRONTMATTER_RE.match(body)
+    body = body[m.end():].lstrip("\n") if m else body
+    body_html = Markup(mistune.html(body)) if body else ""
+    return await render_template("admin/partials/article_preview.html", body_html=body_html)
+
+
 @bp.route("/articles/<int:article_id>/delete", methods=["POST"])
 @role_required("admin")
 @csrf_protect
@@ -2927,11 +2890,9 @@ _CSV_IMPORT_LIMIT = 500  # guard against huge uploads
 
 async def get_follow_up_due_count() -> int:
     """Count pipeline suppliers with follow_up_at <= today."""
-    row = await fetch_one(
+    return await count_where(
-        """SELECT COUNT(*) as cnt FROM suppliers
+        "suppliers WHERE outreach_status IS NOT NULL AND follow_up_at <= date('now')"
-           WHERE outreach_status IS NOT NULL AND follow_up_at <= date('now')"""
     )
-    return row["cnt"] if row else 0
 
 
 async def get_outreach_pipeline() -> dict:

web/src/padelnomics/admin/templates/admin/affiliate_form.html

@@ -226,10 +226,9 @@ document.addEventListener('DOMContentLoaded', function() {
             <a href="{{ url_for('admin.affiliate_products') }}" class="btn-outline">Cancel</a>
           </div>
           {% if editing %}
-          <form method="post" action="{{ url_for('admin.affiliate_delete', product_id=product_id) }}" style="margin:0">
+          <form method="post" action="{{ url_for('admin.affiliate_delete', product_id=product_id) }}" style="margin:0" hx-boost="true">
             <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
             <button type="submit" class="btn-outline"
-                    onclick="return confirm('Delete this product? This cannot be undone.')">Delete</button>
           </form>
           {% endif %}
         </div>

web/src/padelnomics/admin/templates/admin/affiliate_program_form.html

@@ -120,10 +120,9 @@ document.addEventListener('DOMContentLoaded', function() {
             <a href="{{ url_for('admin.affiliate_programs') }}" class="btn-outline">Cancel</a>
           </div>
           {% if editing %}
-          <form method="post" action="{{ url_for('admin.affiliate_program_delete', program_id=program_id) }}" style="margin:0">
+          <form method="post" action="{{ url_for('admin.affiliate_program_delete', program_id=program_id) }}" style="margin:0" hx-boost="true">
             <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
             <button type="submit" class="btn-outline"
-                    onclick="return confirm('Delete this program? Blocked if products reference it.')">Delete</button>
           </form>
           {% endif %}
         </div>

web/src/padelnomics/admin/templates/admin/article_form.html

@@ -1,89 +1,426 @@
 {% extends "admin/base_admin.html" %}
 {% set admin_page = "articles" %}
 
-{% block title %}{% if editing %}Edit{% else %}New{% endif %} Article - Admin - {{ config.APP_NAME }}{% endblock %}
+{% block title %}{% if editing %}Edit{% else %}New{% endif %} Article — Admin — {{ config.APP_NAME }}{% endblock %}
+
+{% block head %}{{ super() }}
+<style>
+  /* Override admin-main so the split editor fills the column */
+  .admin-main {
+    padding: 0;
+    overflow: hidden;
+    display: flex;
+    flex-direction: column;
+  }
+
+  /* ── Editor shell ──────────────────────────────────────────── */
+  .ae-shell {
+    display: flex;
+    flex-direction: column;
+    flex: 1;
+    min-height: 0;
+    overflow: hidden;
+  }
+
+  /* ── Toolbar ────────────────────────────────────────────────── */
+  .ae-toolbar {
+    display: flex;
+    align-items: center;
+    gap: 0.75rem;
+    padding: 0.625rem 1.25rem;
+    background: #fff;
+    border-bottom: 1px solid #E2E8F0;
+    flex-shrink: 0;
+  }
+  .ae-toolbar__back {
+    font-size: 0.8125rem;
+    color: #64748B;
+    text-decoration: none;
+    flex-shrink: 0;
+    transition: color 0.1s;
+  }
+  .ae-toolbar__back:hover { color: #0F172A; }
+  .ae-toolbar__sep {
+    width: 1px; height: 1.25rem;
+    background: #E2E8F0;
+    flex-shrink: 0;
+  }
+  .ae-toolbar__title {
+    font-size: 0.875rem;
+    font-weight: 600;
+    color: #0F172A;
+    flex: 1;
+    white-space: nowrap;
+    overflow: hidden;
+    text-overflow: ellipsis;
+  }
+  .ae-toolbar__status {
+    font-size: 0.6875rem;
+    font-weight: 600;
+    text-transform: uppercase;
+    letter-spacing: 0.06em;
+    padding: 0.2rem 0.55rem;
+    border-radius: 9999px;
+    flex-shrink: 0;
+  }
+  .ae-toolbar__status--draft {
+    background: #F1F5F9;
+    color: #64748B;
+  }
+  .ae-toolbar__status--published {
+    background: #DCFCE7;
+    color: #16A34A;
+  }
+
+  /* ── Metadata strip ─────────────────────────────────────────── */
+  #ae-form {
+    display: contents; /* form participates in flex layout as transparent wrapper */
+  }
+  .ae-meta {
+    padding: 0.75rem 1.25rem;
+    background: #F8FAFC;
+    border-bottom: 1px solid #E2E8F0;
+    flex-shrink: 0;
+  }
+  .ae-meta__row {
+    display: flex;
+    gap: 0.625rem;
+    flex-wrap: wrap;
+    align-items: end;
+  }
+  .ae-meta__row + .ae-meta__row { margin-top: 0.5rem; }
+
+  .ae-field {
+    display: flex;
+    flex-direction: column;
+    gap: 0.2rem;
+    min-width: 0;
+  }
+  .ae-field--flex1  { flex: 1; min-width: 120px; }
+  .ae-field--flex2  { flex: 2; min-width: 180px; }
+  .ae-field--flex3  { flex: 3; min-width: 220px; }
+  .ae-field--fixed80  { flex: 0 0 80px; }
+  .ae-field--fixed120 { flex: 0 0 120px; }
+  .ae-field--fixed160 { flex: 0 0 160px; }
+
+  .ae-field label {
+    font-size: 0.625rem;
+    font-weight: 700;
+    text-transform: uppercase;
+    letter-spacing: 0.07em;
+    color: #94A3B8;
+    white-space: nowrap;
+  }
+  .ae-field input,
+  .ae-field select {
+    width: 100%;
+    padding: 0.3rem 0.5rem;
+    border: 1px solid #E2E8F0;
+    border-radius: 4px;
+    font-size: 0.8125rem;
+    font-family: var(--font-sans);
+    color: #0F172A;
+    background: #fff;
+    outline: none;
+    transition: border-color 0.15s, box-shadow 0.15s;
+    min-width: 0;
+  }
+  .ae-field input:focus,
+  .ae-field select:focus {
+    border-color: #1D4ED8;
+    box-shadow: 0 0 0 2px rgba(29,78,216,0.1);
+  }
+  .ae-field input[readonly] {
+    background: #F1F5F9;
+    color: #94A3B8;
+  }
+
+  /* ── Split pane ─────────────────────────────────────────────── */
+  .ae-split {
+    display: grid;
+    grid-template-columns: 1fr 1fr;
+    flex: 1;
+    min-height: 0;
+    overflow: hidden;
+  }
+  .ae-pane {
+    display: flex;
+    flex-direction: column;
+    min-height: 0;
+    overflow: hidden;
+  }
+  .ae-pane--editor { border-right: 1px solid #E2E8F0; }
+
+  .ae-pane__header {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    padding: 0.375rem 0.875rem;
+    background: #F8FAFC;
+    border-bottom: 1px solid #E2E8F0;
+    flex-shrink: 0;
+  }
+  .ae-pane--preview .ae-pane__header {
+    background: #F8FAFC;
+    border-bottom: 1px solid #E2E8F0;
+  }
+  .ae-pane__label {
+    font-size: 0.625rem;
+    font-weight: 700;
+    text-transform: uppercase;
+    letter-spacing: 0.09em;
+    color: #94A3B8;
+  }
+  .ae-pane__hint {
+    font-size: 0.625rem;
+    font-family: var(--font-mono);
+    color: #94A3B8;
+  }
+
+  /* The markdown textarea */
+  .ae-editor {
+    flex: 1;
+    resize: none;
+    border: none;
+    outline: none;
+    padding: 1.5rem 2rem;
+    font-family: var(--font-mono);
+    font-size: 0.875rem;
+    line-height: 1.8;
+    background: #FEFDFB;
+    color: #1E293B;
+    caret-color: #1D4ED8;
+    tab-size: 2;
+  }
+  .ae-editor::placeholder { color: #CBD5E1; }
+  .ae-editor:focus { outline: none; }
+
+  /* Preview pane */
+  .ae-preview {
+    flex: 1;
+    overflow-y: auto;
+    padding: 1.5rem 2rem;
+    background: #fff;
+  }
+
+  /* Preview typography — maps rendered markdown */
+  .ae-preview .preview-body { max-width: 42rem; }
+  .ae-preview .preview-body h1 {
+    font-family: var(--font-display);
+    font-size: 1.625rem; font-weight: 700;
+    color: #0F172A; margin: 0 0 1rem;
+    line-height: 1.25;
+  }
+  .ae-preview .preview-body h2 {
+    font-family: var(--font-display);
+    font-size: 1.25rem; font-weight: 600;
+    color: #0F172A; margin: 1.75rem 0 0.625rem;
+  }
+  .ae-preview .preview-body h3 {
+    font-size: 1.0625rem; font-weight: 600;
+    color: #0F172A; margin: 1.25rem 0 0.5rem;
+  }
+  .ae-preview .preview-body h4 {
+    font-size: 0.9375rem; font-weight: 600;
+    color: #334155; margin: 1rem 0 0.375rem;
+  }
+  .ae-preview .preview-body p  { margin: 0 0 0.875rem; color: #1E293B; line-height: 1.75; }
+  .ae-preview .preview-body ul,
+  .ae-preview .preview-body ol { margin: 0 0 0.875rem 1.375rem; color: #1E293B; }
+  .ae-preview .preview-body li { margin: 0.3rem 0; line-height: 1.65; }
+  .ae-preview .preview-body code {
+    font-family: var(--font-mono); font-size: 0.8125rem;
+    background: #F1F5F9; color: #1D4ED8;
+    padding: 0.1rem 0.35rem; border-radius: 3px;
+  }
+  .ae-preview .preview-body pre {
+    background: #0F172A; color: #CBD5E1;
+    padding: 1rem 1.125rem; border-radius: 6px;
+    overflow-x: auto; margin: 0 0 0.875rem;
+    font-size: 0.8125rem; line-height: 1.65;
+  }
+  .ae-preview .preview-body pre code {
+    background: none; color: inherit; padding: 0;
+  }
+  .ae-preview .preview-body blockquote {
+    border-left: 3px solid #1D4ED8;
+    padding-left: 1rem; margin: 0 0 0.875rem;
+    color: #475569;
+  }
+  .ae-preview .preview-body a { color: #1D4ED8; }
+  .ae-preview .preview-body hr {
+    border: none; border-top: 1px solid #E2E8F0;
+    margin: 1.5rem 0;
+  }
+  .ae-preview .preview-body strong { font-weight: 600; color: #0F172A; }
+  .ae-preview .preview-body table {
+    width: 100%; border-collapse: collapse;
+    font-size: 0.875rem; margin: 0 0 0.875rem;
+  }
+  .ae-preview .preview-body th {
+    background: #F8FAFC; font-weight: 600;
+    padding: 0.5rem 0.75rem; text-align: left;
+    border: 1px solid #E2E8F0; color: #0F172A;
+  }
+  .ae-preview .preview-body td {
+    padding: 0.5rem 0.75rem;
+    border: 1px solid #E2E8F0; color: #1E293B;
+  }
+  .ae-preview .preview-body tr:nth-child(even) td { background: #F8FAFC; }
+
+  .preview-placeholder {
+    font-size: 0.875rem;
+    color: #94A3B8;
+    font-style: italic;
+    margin: 0;
+  }
+
+  /* HTMX loading indicator — htmx toggles .htmx-request on the element */
+  .ae-loading {
+    font-size: 0.625rem;
+    color: #94A3B8;
+    font-family: var(--font-mono);
+    opacity: 0;
+    transition: opacity 0.2s;
+  }
+  .ae-loading.htmx-request { opacity: 1; }
+
+  /* Responsive: stack on narrow screens */
+  @media (max-width: 900px) {
+    .ae-split { grid-template-columns: 1fr; }
+    .ae-pane--preview { display: none; }
+  }
+</style>
+{% endblock %}
 
 {% block admin_content %}
-  <div style="max-width: 48rem; margin: 0 auto;">
+<div class="ae-shell">
-    <a href="{{ url_for('admin.articles') }}" class="text-sm text-slate">&larr; Back to articles</a>
-    <h1 class="text-2xl mt-4 mb-6">{% if editing %}Edit{% else %}New{% endif %} Article</h1>
 
-    <form method="post" class="card">
+  <!-- Toolbar -->
+  <div class="ae-toolbar">
+    <a href="{{ url_for('admin.articles') }}" class="ae-toolbar__back">← Articles</a>
+    <div class="ae-toolbar__sep"></div>
+    <span class="ae-toolbar__title">
+      {% if editing %}{{ data.get('title', 'Edit Article') }}{% else %}New Article{% endif %}
+    </span>
+    {% if editing %}
+    <span class="ae-toolbar__status ae-toolbar__status--{{ data.get('status', 'draft') }}">
+      {{ data.get('status', 'draft') }}
+    </span>
+    {% endif %}
+    <button form="ae-form" type="submit" class="btn btn-sm">
+      {% if editing %}Save Changes{% else %}Create Article{% endif %}
+    </button>
+  </div>
+
+  <!-- Form wraps everything below the toolbar -->
+  <form id="ae-form" method="post" style="display:contents;">
     <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
 
-      <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 1rem;" class="mb-4">
+    <!-- Metadata strip -->
-        <div>
+    <div class="ae-meta">
-          <label class="form-label" for="title">Title</label>
+      <div class="ae-meta__row">
-          <input type="text" id="title" name="title" value="{{ data.get('title', '') }}" class="form-input" required>
+        <div class="ae-field ae-field--flex3">
+          <label for="title">Title</label>
+          <input type="text" id="title" name="title" value="{{ data.get('title', '') }}"
+                 required placeholder="Article title…">
         </div>
-        <div>
+        <div class="ae-field ae-field--flex2">
-          <label class="form-label" for="slug">Slug</label>
+          <label for="slug">Slug</label>
-          <input type="text" id="slug" name="slug" value="{{ data.get('slug', '') }}" class="form-input"
+          <input type="text" id="slug" name="slug" value="{{ data.get('slug', '') }}"
-                 placeholder="auto-generated from title" {% if editing %}readonly{% endif %}>
+                 placeholder="auto-generated" {% if editing %}readonly{% endif %}>
         </div>
+        <div class="ae-field ae-field--flex2">
+          <label for="url_path">URL Path</label>
+          <input type="text" id="url_path" name="url_path" value="{{ data.get('url_path', '') }}"
+                 placeholder="/slug">
         </div>
-
+        <div class="ae-field ae-field--fixed80">
-      <div class="mb-4">
+          <label for="language">Language</label>
-        <label class="form-label" for="url_path">URL Path</label>
+          <select id="language" name="language">
-        <input type="text" id="url_path" name="url_path" value="{{ data.get('url_path', '') }}" class="form-input"
+            <option value="en" {% if data.get('language', 'en') == 'en' %}selected{% endif %}>EN</option>
-               placeholder="e.g. /padel-court-cost-miami">
+            <option value="de" {% if data.get('language') == 'de' %}selected{% endif %}>DE</option>
-        <p class="form-hint">Defaults to /slug. Must not conflict with existing routes.</p>
-      </div>
-
-      <div class="mb-4">
-        <label class="form-label" for="meta_description">Meta Description</label>
-        <input type="text" id="meta_description" name="meta_description" value="{{ data.get('meta_description', '') }}"
-               class="form-input" maxlength="160">
-      </div>
-
-      <div style="display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 1rem;" class="mb-4">
-        <div>
-          <label class="form-label" for="country">Country</label>
-          <input type="text" id="country" name="country" value="{{ data.get('country', '') }}" class="form-input"
-                 placeholder="e.g. US">
-        </div>
-        <div>
-          <label class="form-label" for="region">Region</label>
-          <input type="text" id="region" name="region" value="{{ data.get('region', '') }}" class="form-input"
-                 placeholder="e.g. North America">
-        </div>
-        <div>
-          <label class="form-label" for="og_image_url">OG Image URL</label>
-          <input type="text" id="og_image_url" name="og_image_url" value="{{ data.get('og_image_url', '') }}" class="form-input">
-        </div>
-      </div>
-
-      <div class="mb-4">
-        <label class="form-label" for="body">Body (Markdown)</label>
-        <textarea id="body" name="body" rows="20" class="form-input"
-                  style="font-family: var(--font-mono); font-size: 0.8125rem;" {% if not editing %}required{% endif %}>{{ data.get('body', '') }}</textarea>
-        <p class="form-hint">Use [scenario:slug] to embed scenario widgets. Sections: :capex, :operating, :cashflow, :returns, :full</p>
-      </div>
-
-      <div style="display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 1rem;" class="mb-4">
-        <div>
-          <label class="form-label" for="language">Language</label>
-          <select id="language" name="language" class="form-input">
-            <option value="en" {% if data.get('language', 'en') == 'en' %}selected{% endif %}>English (en)</option>
-            <option value="de" {% if data.get('language') == 'de' %}selected{% endif %}>German (de)</option>
           </select>
         </div>
-        <div>
+        <div class="ae-field ae-field--fixed120">
-          <label class="form-label" for="status">Status</label>
+          <label for="status">Status</label>
-          <select id="status" name="status" class="form-input">
+          <select id="status" name="status">
-            <option value="draft" {% if data.get('status') == 'draft' %}selected{% endif %}>Draft</option>
+            <option value="draft" {% if data.get('status', 'draft') == 'draft' %}selected{% endif %}>Draft</option>
             <option value="published" {% if data.get('status') == 'published' %}selected{% endif %}>Published</option>
           </select>
         </div>
-        <div>
+      </div>
-          <label class="form-label" for="published_at">Publish Date</label>
+      <div class="ae-meta__row">
+        <div class="ae-field ae-field--flex3">
+          <label for="meta_description">Meta Description</label>
+          <input type="text" id="meta_description" name="meta_description"
+                 value="{{ data.get('meta_description', '') }}" maxlength="160"
+                 placeholder="160 chars max…">
+        </div>
+        <div class="ae-field ae-field--flex1">
+          <label for="country">Country</label>
+          <input type="text" id="country" name="country" value="{{ data.get('country', '') }}"
+                 placeholder="e.g. US">
+        </div>
+        <div class="ae-field ae-field--flex1">
+          <label for="region">Region</label>
+          <input type="text" id="region" name="region" value="{{ data.get('region', '') }}"
+                 placeholder="e.g. North America">
+        </div>
+        <div class="ae-field ae-field--flex2">
+          <label for="og_image_url">OG Image URL</label>
+          <input type="text" id="og_image_url" name="og_image_url"
+                 value="{{ data.get('og_image_url', '') }}">
+        </div>
+        <div class="ae-field ae-field--fixed160">
+          <label for="published_at">Publish Date</label>
           <input type="datetime-local" id="published_at" name="published_at"
-                 value="{{ data.get('published_at', '')[:16] if data.get('published_at') else '' }}" class="form-input">
+                 value="{{ data.get('published_at', '')[:16] if data.get('published_at') else '' }}">
-          <p class="form-hint">Leave blank for now. Future date = scheduled.</p>
+        </div>
       </div>
     </div>
 
-      <button type="submit" class="btn" style="width: 100%;">{% if editing %}Update Article{% else %}Create Article{% endif %}</button>
+    <!-- Split: editor | preview -->
+    <div class="ae-split">
+
+      <!-- Left — Markdown editor -->
+      <div class="ae-pane ae-pane--editor">
+        <div class="ae-pane__header">
+          <span class="ae-pane__label">Markdown</span>
+          <span class="ae-pane__hint">[scenario:slug] · [product:slug]</span>
+        </div>
+        <textarea
+          id="body" name="body"
+          class="ae-editor"
+          {% if not editing %}required{% endif %}
+          placeholder="Start writing in Markdown…"
+          hx-post="{{ url_for('admin.article_preview') }}"
+          hx-trigger="input delay:500ms"
+          hx-target="#ae-preview-content"
+          hx-include="[name=csrf_token]"
+          hx-indicator="#ae-loading"
+        >{{ data.get('body', '') }}</textarea>
+      </div>
+
+      <!-- Right — Rendered preview -->
+      <div class="ae-pane ae-pane--preview">
+        <div class="ae-pane__header">
+          <span class="ae-pane__label">Preview</span>
+          <span id="ae-loading" class="ae-loading">Rendering…</span>
+        </div>
+        <div class="ae-preview">
+          <div id="ae-preview-content">
+            {% if body_html %}
+            <div class="preview-body">{{ body_html }}</div>
+            {% else %}
+            <p class="preview-placeholder">Start writing to see a preview.</p>
+            {% endif %}
+          </div>
+        </div>
+      </div>
+
+    </div>
   </form>
+
 </div>
 {% endblock %}

web/src/padelnomics/admin/templates/admin/articles.html

@@ -11,9 +11,10 @@
     </div>
     <div class="flex gap-2">
       <a href="{{ url_for('admin.article_new') }}" class="btn btn-sm">New Article</a>
-      <form method="post" action="{{ url_for('admin.rebuild_all') }}" class="m-0" style="display:inline">
+      <form method="post" action="{{ url_for('admin.rebuild_all') }}" class="m-0" style="display:inline" hx-boost="true">
         <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
-        <button type="button" class="btn-outline btn-sm" onclick="confirmAction('Rebuild all articles? This will re-render every article from its template.', this.closest('form'))">Rebuild All</button>
+        <button type="submit" class="btn-outline btn-sm"
+                hx-confirm="Rebuild all articles? This will re-render every article from its template.">Rebuild All</button>
       </form>
     </div>
   </header>

web/src/padelnomics/admin/templates/admin/audience_contacts.html

@@ -27,10 +27,11 @@
           <td class="text-sm">{{ c.email if c.email is defined else (c.get('email', '-') if c is mapping else '-') }}</td>
           <td class="mono text-sm">{{ (c.created_at if c.created_at is defined else (c.get('created_at', '-') if c is mapping else '-'))[:16] if c else '-' }}</td>
           <td style="text-align:right">
-            <form method="post" action="{{ url_for('admin.audience_contact_remove', audience_id=audience.audience_id) }}" style="display:inline">
+            <form method="post" action="{{ url_for('admin.audience_contact_remove', audience_id=audience.audience_id) }}" style="display:inline" hx-boost="true">
               <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
               <input type="hidden" name="contact_id" value="{{ c.id if c.id is defined else (c.get('id', '') if c is mapping else '') }}">
-              <button type="button" class="btn-outline btn-sm" style="color:#DC2626" onclick="confirmAction('Remove this contact from the audience?', this.closest('form'))">Remove</button>
+              <button type="submit" class="btn-outline btn-sm" style="color:#DC2626"
+                      hx-confirm="Remove this contact from the audience?">Remove</button>
             </form>
           </td>
         </tr>

web/src/padelnomics/admin/templates/admin/base_admin.html

@@ -228,21 +228,29 @@
 
 <dialog id="confirm-dialog">
   <p id="confirm-msg"></p>
-  <div class="dialog-actions">
+  <form method="dialog" class="dialog-actions">
-    <button id="confirm-cancel" class="btn-outline btn-sm">Cancel</button>
+    <button value="cancel" class="btn-outline btn-sm">Cancel</button>
-    <button id="confirm-ok" class="btn btn-sm">Confirm</button>
+    <button value="ok" class="btn btn-sm">Confirm</button>
-  </div>
+  </form>
 </dialog>
 <script>
-function confirmAction(message, form) {
+function showConfirm(message) {
   var dialog = document.getElementById('confirm-dialog');
   document.getElementById('confirm-msg').textContent = message;
-  var ok = document.getElementById('confirm-ok');
-  var newOk = ok.cloneNode(true);
-  ok.replaceWith(newOk);
-  newOk.addEventListener('click', function() { dialog.close(); form.submit(); });
-  document.getElementById('confirm-cancel').addEventListener('click', function() { dialog.close(); }, { once: true });
   dialog.showModal();
+  return new Promise(function(resolve) {
+    dialog.addEventListener('close', function() {
+      resolve(dialog.returnValue === 'ok');
+    }, { once: true });
+  });
 }
+
+document.body.addEventListener('htmx:confirm', function(evt) {
+  if (!evt.detail.question) return;
+  evt.preventDefault();
+  showConfirm(evt.detail.question).then(function(ok) {
+    if (ok) evt.detail.issueRequest(true);
+  });
+});
 </script>
 {% endblock %}

web/src/padelnomics/admin/templates/admin/generate_form.html

@@ -19,7 +19,7 @@
       <p class="text-slate text-sm">No data rows found. Run the data pipeline to populate <code>{{ config_data.data_table }}</code>.</p>
     </div>
     {% else %}
-    <form method="post" class="card">
+    <form method="post" class="card" hx-boost="true">
       <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
 
       <div class="mb-4">
@@ -45,7 +45,8 @@
         </p>
       </div>
 
-      <button type="button" class="btn" style="width: 100%;" onclick="confirmAction('Generate articles? Existing articles will be updated in-place.', this.closest('form'))">
+      <button type="submit" class="btn" style="width: 100%;"
+              hx-confirm="Generate articles? Existing articles will be updated in-place.">
         Generate Articles
       </button>
     </form>

web/src/padelnomics/admin/templates/admin/partials/affiliate_program_results.html

@@ -21,10 +21,9 @@
   </td>
   <td class="text-right" style="white-space:nowrap">
     <a href="{{ url_for('admin.affiliate_program_edit', program_id=prog.id) }}" class="btn-outline btn-sm">Edit</a>
-    <form method="post" action="{{ url_for('admin.affiliate_program_delete', program_id=prog.id) }}" style="display:inline">
+    <form method="post" action="{{ url_for('admin.affiliate_program_delete', program_id=prog.id) }}" style="display:inline" hx-boost="true">
       <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
       <button type="submit" class="btn-outline btn-sm"
-              onclick="return confirm('Delete {{ prog.name }}? This is blocked if products reference it.')">Delete</button>
     </form>
   </td>
 </tr>

web/src/padelnomics/admin/templates/admin/partials/affiliate_row.html

@@ -20,10 +20,9 @@
   <td class="mono text-right">{{ product.click_count or 0 }}</td>
   <td class="text-right" style="white-space:nowrap">
     <a href="{{ url_for('admin.affiliate_edit', product_id=product.id) }}" class="btn-outline btn-sm">Edit</a>
-    <form method="post" action="{{ url_for('admin.affiliate_delete', product_id=product.id) }}" style="display:inline">
+    <form method="post" action="{{ url_for('admin.affiliate_delete', product_id=product.id) }}" style="display:inline" hx-boost="true">
       <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
       <button type="submit" class="btn-outline btn-sm"
-              onclick="return confirm('Delete {{ product.name }}?')">Delete</button>
     </form>
   </td>
 </tr>

web/src/padelnomics/admin/templates/admin/partials/article_preview.html

@@ -0,0 +1,5 @@
+{% if body_html %}
+<div class="preview-body">{{ body_html }}</div>
+{% else %}
+<p class="preview-placeholder">Start writing to see a preview.</p>
+{% endif %}

web/src/padelnomics/admin/templates/admin/partials/pipeline_extractions.html

@@ -29,10 +29,10 @@
       </div>
     </form>
 
-    <form method="post" action="{{ url_for('pipeline.pipeline_trigger_extract') }}" class="m-0">
+    <form method="post" action="{{ url_for('pipeline.pipeline_trigger_extract') }}" class="m-0" hx-boost="true">
       <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
-      <button type="button" class="btn-outline btn-sm"
+      <button type="submit" class="btn-outline btn-sm"
-              onclick="confirmAction('Enqueue a full extraction run? This will run all extractors in the background.', this.closest('form'))">
+              hx-confirm="Enqueue a full extraction run? This will run all extractors in the background.">
         Run All Extractors
       </button>
     </form>
@@ -112,11 +112,11 @@
             {% if run.status == 'running' %}
             <form method="post"
                   action="{{ url_for('pipeline.pipeline_mark_stale', run_id=run.run_id) }}"
-                  class="m-0">
+                  class="m-0" hx-boost="true">
               <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
-              <button type="button" class="btn-danger btn-sm"
+              <button type="submit" class="btn-danger btn-sm"
                       style="padding:2px 8px;font-size:11px"
-                      onclick="confirmAction('Mark run #{{ run.run_id }} as failed? Only do this if the process is definitely dead.', this.closest('form'))">
+                      hx-confirm="Mark run #{{ run.run_id }} as failed? Only do this if the process is definitely dead.">
                 Mark Failed
               </button>
             </form>

web/src/padelnomics/admin/templates/admin/partials/pipeline_overview.html

@@ -40,7 +40,7 @@
                 hx-target="#pipeline-overview-content"
                 hx-swap="outerHTML"
                 hx-vals='{"extractor": "{{ wf.name }}", "csrf_token": "{{ csrf_token() }}"}'
-                onclick="if (!confirm('Run {{ wf.name }} extractor?')) return false;">Run</button>
+                hx-confirm="Run {{ wf.name }} extractor?">Run</button>
       </div>
       <p class="text-xs text-slate">{{ wf.schedule_label }}</p>
       {% if run %}

web/src/padelnomics/admin/templates/admin/partials/pipeline_transform.html

@@ -53,7 +53,7 @@
               hx-target="#pipeline-transform-content"
               hx-swap="outerHTML"
               hx-vals='{"step": "transform", "csrf_token": "{{ csrf_token() }}"}'
-              onclick="if (!confirm('Run SQLMesh transform (prod --auto-apply)?')) return false;">
+              hx-confirm="Run SQLMesh transform (prod --auto-apply)?">
         Run Transform
       </button>
     </div>
@@ -107,7 +107,7 @@
               hx-target="#pipeline-transform-content"
               hx-swap="outerHTML"
               hx-vals='{"step": "export", "csrf_token": "{{ csrf_token() }}"}'
-              onclick="if (!confirm('Export serving tables (lakehouse → analytics.duckdb)?')) return false;">
+              hx-confirm="Export serving tables (lakehouse → analytics.duckdb)?">
         Run Export
       </button>
     </div>
@@ -138,7 +138,7 @@
             hx-target="#pipeline-transform-content"
             hx-swap="outerHTML"
             hx-vals='{"step": "pipeline", "csrf_token": "{{ csrf_token() }}"}'
-            onclick="if (!confirm('Run full ELT pipeline (extract → transform → export)?')) return false;">
+            hx-confirm="Run full ELT pipeline (extract → transform → export)?">
       Run Full Pipeline
     </button>
   </div>

web/src/padelnomics/admin/templates/admin/partials/scenario_results.html

@@ -36,9 +36,10 @@
         <a href="{{ url_for('admin.scenario_pdf', scenario_id=s.id, lang='en') }}" class="btn-outline btn-sm">PDF EN</a>
         <a href="{{ url_for('admin.scenario_pdf', scenario_id=s.id, lang='de') }}" class="btn-outline btn-sm">PDF DE</a>
         <a href="{{ url_for('admin.scenario_edit', scenario_id=s.id) }}" class="btn-outline btn-sm">Edit</a>
-        <form method="post" action="{{ url_for('admin.scenario_delete', scenario_id=s.id) }}" class="m-0" style="display: inline;">
+        <form method="post" action="{{ url_for('admin.scenario_delete', scenario_id=s.id) }}" class="m-0" style="display: inline;" hx-boost="true">
           <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
-          <button type="button" class="btn-outline btn-sm" onclick="confirmAction('Delete this scenario? This cannot be undone.', this.closest('form'))">Delete</button>
+          <button type="submit" class="btn-outline btn-sm"
+                  hx-confirm="Delete this scenario? This cannot be undone.">Delete</button>
         </form>
       </td>
     </tr>

web/src/padelnomics/admin/templates/admin/pipeline.html

@@ -15,8 +15,9 @@
 
   .pipeline-tabs {
     display: flex; gap: 0; border-bottom: 2px solid #E2E8F0; margin-bottom: 1.5rem;
-    overflow-x: auto; -webkit-overflow-scrolling: touch;
+    overflow-x: auto; -webkit-overflow-scrolling: touch; scrollbar-width: none;
   }
+  .pipeline-tabs::-webkit-scrollbar { display: none; }
   .pipeline-tabs button {
     padding: 0.625rem 1.25rem; font-size: 0.8125rem; font-weight: 600;
     color: #64748B; background: none; border: none; cursor: pointer;
@@ -56,11 +57,11 @@
       <p class="text-sm text-slate mt-1">Extraction status, data catalog, and ad-hoc query editor</p>
     </div>
     <div class="flex gap-2">
-      <form method="post" action="{{ url_for('pipeline.pipeline_trigger_transform') }}" class="m-0">
+      <form method="post" action="{{ url_for('pipeline.pipeline_trigger_transform') }}" class="m-0" hx-boost="true">
         <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
         <input type="hidden" name="step" value="pipeline">
-        <button type="button" class="btn btn-sm"
+        <button type="submit" class="btn btn-sm"
-                onclick="confirmAction('Run full ELT pipeline (extract → transform → export)? This runs in the background.', this.closest('form'))">
+                hx-confirm="Run full ELT pipeline (extract → transform → export)? This runs in the background.">
           Run Pipeline
         </button>
       </form>

web/src/padelnomics/admin/templates/admin/template_detail.html

@@ -13,9 +13,10 @@
     </div>
     <div class="flex gap-2">
       <a href="{{ url_for('admin.template_generate', slug=config_data.slug) }}" class="btn">Generate Articles</a>
-      <form method="post" action="{{ url_for('admin.template_regenerate', slug=config_data.slug) }}" style="display:inline">
+      <form method="post" action="{{ url_for('admin.template_regenerate', slug=config_data.slug) }}" style="display:inline" hx-boost="true">
         <input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
-        <button type="button" class="btn-outline" onclick="confirmAction('Regenerate all articles for this template with fresh data? Existing articles will be overwritten.', this.closest('form'))">
+        <button type="submit" class="btn-outline"
+                hx-confirm="Regenerate all articles for this template with fresh data? Existing articles will be overwritten.">
           Regenerate
         </button>
       </form>

web/src/padelnomics/core.py

@@ -192,6 +192,15 @@ async def fetch_all(sql: str, params: tuple = ()) -> list[dict]:
         return [dict(row) for row in rows]
 
 
+async def count_where(table_where: str, params: tuple = ()) -> int:
+    """Count rows matching a condition. Compresses the fetch_one + null-check pattern.
+
+    Usage: await count_where("users WHERE deleted_at IS NULL")
+    """
+    row = await fetch_one(f"SELECT COUNT(*) AS n FROM {table_where}", params)
+    return row["n"] if row else 0
+
+
 async def execute(sql: str, params: tuple = ()) -> int:
     """Execute SQL and return lastrowid."""
     db = await get_db()

web/src/padelnomics/dashboard/routes.py

@@ -6,7 +6,7 @@ from pathlib import Path
 from quart import Blueprint, flash, g, redirect, render_template, request, url_for
 
 from ..auth.routes import login_required, update_user
-from ..core import csrf_protect, fetch_one, soft_delete, utcnow_iso
+from ..core import count_where, csrf_protect, fetch_one, soft_delete, utcnow_iso
 from ..i18n import get_translations
 
 bp = Blueprint(
@@ -18,17 +18,13 @@ bp = Blueprint(
 
 
 async def get_user_stats(user_id: int) -> dict:
-    scenarios = await fetch_one(
-        "SELECT COUNT(*) as count FROM scenarios WHERE user_id = ? AND deleted_at IS NULL",
-        (user_id,),
-    )
-    leads = await fetch_one(
-        "SELECT COUNT(*) as count FROM lead_requests WHERE user_id = ?",
-        (user_id,),
-    )
     return {
-        "scenarios": scenarios["count"] if scenarios else 0,
+        "scenarios": await count_where(
-        "leads": leads["count"] if leads else 0,
+            "scenarios WHERE user_id = ? AND deleted_at IS NULL", (user_id,)
+        ),
+        "leads": await count_where(
+            "lead_requests WHERE user_id = ?", (user_id,)
+        ),
     }
 
 

web/src/padelnomics/directory/routes.py

@@ -6,7 +6,7 @@ from pathlib import Path
 
 from quart import Blueprint, g, make_response, redirect, render_template, request, url_for
 
-from ..core import csrf_protect, execute, fetch_all, fetch_one, utcnow_iso
+from ..core import count_where, csrf_protect, execute, fetch_all, fetch_one, utcnow_iso
 from ..i18n import COUNTRY_LABELS, get_translations
 
 bp = Blueprint(
@@ -79,11 +79,7 @@ async def _build_directory_query(q, country, category, region, page, per_page=24
 
     where = " AND ".join(wheres) if wheres else "1=1"
 
-    count_row = await fetch_one(
+    total = await count_where(f"suppliers s WHERE {where}", tuple(params))
-        f"SELECT COUNT(*) as cnt FROM suppliers s WHERE {where}",
-        tuple(params),
-    )
-    total = count_row["cnt"] if count_row else 0
 
     offset = (page - 1) * per_page
     # Tier-based ordering: sticky first, then pro > growth > free, then name
@@ -159,16 +155,16 @@ async def index():
         "SELECT category, COUNT(*) as cnt FROM suppliers GROUP BY category ORDER BY cnt DESC"
     )
 
-    total_suppliers = await fetch_one("SELECT COUNT(*) as cnt FROM suppliers")
+    total_suppliers = await count_where("suppliers")
-    total_countries = await fetch_one("SELECT COUNT(DISTINCT country_code) as cnt FROM suppliers")
+    total_countries = await count_where("(SELECT DISTINCT country_code FROM suppliers)")
 
     return await render_template(
         "directory.html",
         **ctx,
         country_counts=country_counts,
         category_counts=category_counts,
-        total_suppliers=total_suppliers["cnt"] if total_suppliers else 0,
+        total_suppliers=total_suppliers,
-        total_countries=total_countries["cnt"] if total_countries else 0,
+        total_countries=total_countries,
     )
 
 
@@ -204,11 +200,9 @@ async def supplier_detail(slug: str):
     # Enquiry count (Basic+)
     enquiry_count = 0
     if supplier.get("tier") in ("basic", "growth", "pro"):
-        row = await fetch_one(
+        enquiry_count = await count_where(
-            "SELECT COUNT(*) as cnt FROM supplier_enquiries WHERE supplier_id = ?",
+            "supplier_enquiries WHERE supplier_id = ?", (supplier["id"],)
-            (supplier["id"],),
         )
-        enquiry_count = row["cnt"] if row else 0
 
     lang = g.get("lang", "en")
     cat_labels, country_labels, region_labels = get_directory_labels(lang)

web/src/padelnomics/planner/routes.py

@@ -12,6 +12,7 @@ from quart import Blueprint, Response, g, jsonify, render_template, request
 from ..auth.routes import login_required
 from ..core import (
     config,
+    count_where,
     csrf_protect,
     execute,
     feature_gate,
@@ -50,11 +51,9 @@ COUNTRY_PRESETS = {
 
 
 async def count_scenarios(user_id: int) -> int:
-    row = await fetch_one(
+    return await count_where(
-        "SELECT COUNT(*) as cnt FROM scenarios WHERE user_id = ? AND deleted_at IS NULL",
+        "scenarios WHERE user_id = ? AND deleted_at IS NULL", (user_id,)
-        (user_id,),
     )
-    return row["cnt"] if row else 0
 
 
 async def get_default_scenario(user_id: int) -> dict | None:

web/src/padelnomics/public/routes.py

@@ -5,7 +5,7 @@ from pathlib import Path
 
 from quart import Blueprint, g, render_template, request, session
 
-from ..core import check_rate_limit, csrf_protect, execute, fetch_all, fetch_one
+from ..core import check_rate_limit, count_where, csrf_protect, execute, fetch_all, fetch_one
 from ..i18n import get_translations
 
 bp = Blueprint(
@@ -17,13 +17,9 @@ bp = Blueprint(
 
 async def _supplier_counts():
     """Fetch aggregate supplier stats for landing/marketing pages."""
-    total = await fetch_one("SELECT COUNT(*) as cnt FROM suppliers")
-    countries = await fetch_one(
-        "SELECT COUNT(DISTINCT country_code) as cnt FROM suppliers"
-    )
     return (
-        total["cnt"] if total else 0,
+        await count_where("suppliers"),
-        countries["cnt"] if countries else 0,
+        await count_where("(SELECT DISTINCT country_code FROM suppliers)"),
     )
 
 
@@ -75,15 +71,15 @@ async def suppliers():
     total_suppliers, total_countries = await _supplier_counts()
 
     # Live stats
-    calc_requests = await fetch_one("SELECT COUNT(*) as cnt FROM scenarios WHERE deleted_at IS NULL")
+    calc_requests = await count_where("scenarios WHERE deleted_at IS NULL")
     avg_budget = await fetch_one(
         "SELECT AVG(budget_estimate) as avg FROM lead_requests WHERE budget_estimate > 0 AND lead_type = 'quote'"
     )
-    active_suppliers = await fetch_one(
+    active_suppliers = await count_where(
-        "SELECT COUNT(*) as cnt FROM suppliers WHERE tier IN ('growth', 'pro') AND claimed_by IS NOT NULL"
+        "suppliers WHERE tier IN ('growth', 'pro') AND claimed_by IS NOT NULL"
     )
-    monthly_leads = await fetch_one(
+    monthly_leads = await count_where(
-        "SELECT COUNT(*) as cnt FROM lead_requests WHERE lead_type = 'quote' AND created_at >= date('now', '-30 days')"
+        "lead_requests WHERE lead_type = 'quote' AND created_at >= date('now', '-30 days')"
     )
 
     # Lead feed preview — 3 recent verified hot/warm leads, anonymized
@@ -100,10 +96,10 @@ async def suppliers():
         "suppliers.html",
         total_suppliers=total_suppliers,
         total_countries=total_countries,
-        calc_requests=calc_requests["cnt"] if calc_requests else 0,
+        calc_requests=calc_requests,
         avg_budget=int(avg_budget["avg"]) if avg_budget and avg_budget["avg"] else 0,
-        active_suppliers=active_suppliers["cnt"] if active_suppliers else 0,
+        active_suppliers=active_suppliers,
-        monthly_leads=monthly_leads["cnt"] if monthly_leads else 0,
+        monthly_leads=monthly_leads,
         preview_leads=preview_leads,
     )
 

web/src/padelnomics/static/css/input.css

@@ -570,6 +570,270 @@
     @apply px-4 pb-4 text-slate-dark;
   }
 
+  /* ── Article Timeline (phase/process diagrams) ── */
+  .article-timeline {
+    display: flex;
+    gap: 0;
+    margin: 1.5rem 0 2rem;
+    position: relative;
+    overflow-x: auto;
+    padding-bottom: 0.5rem;
+  }
+  .article-timeline__phase {
+    flex: 1;
+    min-width: 130px;
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    position: relative;
+  }
+  /* Connecting line between phases */
+  .article-timeline__phase + .article-timeline__phase::before {
+    content: '';
+    position: absolute;
+    top: 22px;
+    left: calc(-50% + 22px);
+    right: calc(50% + 22px);
+    height: 2px;
+    background: #CBD5E1;
+    z-index: 0;
+  }
+  .article-timeline__phase + .article-timeline__phase::after {
+    content: '›';
+    position: absolute;
+    top: 10px;
+    left: calc(-50% + 18px);
+    font-size: 1rem;
+    line-height: 1;
+    color: #94A3B8;
+    z-index: 1;
+  }
+  .article-timeline__num {
+    width: 44px;
+    height: 44px;
+    border-radius: 50%;
+    background: #0F172A;
+    color: #fff;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 0.75rem;
+    font-weight: 700;
+    font-family: var(--font-display);
+    flex-shrink: 0;
+    position: relative;
+    z-index: 2;
+  }
+  .article-timeline__card {
+    margin-top: 0.75rem;
+    background: #F8FAFC;
+    border: 1px solid #E2E8F0;
+    border-radius: 12px;
+    padding: 0.75rem 0.875rem;
+    text-align: center;
+    width: 100%;
+  }
+  .article-timeline__title {
+    font-weight: 700;
+    font-size: 0.8125rem;
+    color: #0F172A;
+    line-height: 1.3;
+    margin-bottom: 0.25rem;
+    font-family: var(--font-display);
+  }
+  .article-timeline__subtitle {
+    font-size: 0.75rem;
+    color: #64748B;
+    margin-bottom: 0.375rem;
+    line-height: 1.3;
+  }
+  .article-timeline__meta {
+    font-size: 0.6875rem;
+    color: #94A3B8;
+    line-height: 1.4;
+  }
+  /* Mobile: vertical timeline */
+  @media (max-width: 600px) {
+    .article-timeline {
+      flex-direction: column;
+      gap: 0.75rem;
+      overflow-x: visible;
+    }
+    .article-timeline__phase {
+      flex-direction: row;
+      align-items: flex-start;
+      min-width: auto;
+      gap: 0.75rem;
+    }
+    .article-timeline__phase + .article-timeline__phase::before {
+      content: '';
+      position: absolute;
+      top: calc(-0.375rem);
+      left: 21px;
+      right: auto;
+      width: 2px;
+      height: 0.75rem;
+      background: #CBD5E1;
+    }
+    .article-timeline__phase + .article-timeline__phase::after {
+      content: '›';
+      position: absolute;
+      top: calc(-0.3rem);
+      left: 15px;
+      font-size: 0.9rem;
+      transform: rotate(90deg);
+    }
+    .article-timeline__card {
+      margin-top: 0;
+      text-align: left;
+      flex: 1;
+    }
+    .article-timeline__num {
+      flex-shrink: 0;
+    }
+  }
+
+  /* ── Article Callout Boxes ── */
+  .article-callout {
+    display: flex;
+    gap: 0.875rem;
+    padding: 1rem 1.25rem;
+    border-radius: 12px;
+    border-left: 4px solid;
+    margin: 1.5rem 0;
+  }
+  .article-callout::before {
+    font-size: 1.1rem;
+    flex-shrink: 0;
+    line-height: 1.5;
+  }
+  .article-callout__body {
+    flex: 1;
+  }
+  .article-callout__title {
+    font-weight: 700;
+    font-size: 0.875rem;
+    margin-bottom: 0.375rem;
+    display: block;
+  }
+  .article-callout p {
+    font-size: 0.875rem;
+    line-height: 1.6;
+    margin: 0;
+    color: inherit;
+  }
+  .article-callout--warning {
+    background: #FFFBEB;
+    border-color: #D97706;
+    color: #78350F;
+  }
+  .article-callout--warning::before {
+    content: '⚠';
+    color: #D97706;
+  }
+  .article-callout--warning .article-callout__title {
+    color: #92400E;
+  }
+  .article-callout--tip {
+    background: #F0FDF4;
+    border-color: #16A34A;
+    color: #14532D;
+  }
+  .article-callout--tip::before {
+    content: '💡';
+  }
+  .article-callout--tip .article-callout__title {
+    color: #166534;
+  }
+  .article-callout--info {
+    background: #EFF6FF;
+    border-color: #1D4ED8;
+    color: #1E3A5F;
+  }
+  .article-callout--info::before {
+    content: 'ℹ';
+    color: #1D4ED8;
+  }
+  .article-callout--info .article-callout__title {
+    color: #1E40AF;
+  }
+
+  /* ── Article Cards (2-col comparison grid) ── */
+  .article-cards {
+    display: grid;
+    grid-template-columns: repeat(2, 1fr);
+    gap: 1rem;
+    margin: 1.5rem 0;
+  }
+  @media (max-width: 580px) {
+    .article-cards {
+      grid-template-columns: 1fr;
+    }
+  }
+  .article-card {
+    border-radius: 12px;
+    border: 1px solid #E2E8F0;
+    overflow: hidden;
+    background: #fff;
+  }
+  .article-card__accent {
+    height: 4px;
+  }
+  .article-card--success .article-card__accent { background: #16A34A; }
+  .article-card--failure .article-card__accent { background: #EF4444; }
+  .article-card--neutral .article-card__accent { background: #1D4ED8; }
+  .article-card--established .article-card__accent { background: #0F172A; }
+  .article-card--growth .article-card__accent { background: #1D4ED8; }
+  .article-card--emerging .article-card__accent { background: #16A34A; }
+  .article-card__inner {
+    padding: 1rem 1.125rem;
+  }
+  .article-card__title {
+    font-weight: 700;
+    font-size: 0.875rem;
+    color: #0F172A;
+    margin-bottom: 0.5rem;
+    font-family: var(--font-display);
+    display: block;
+  }
+  .article-card__body {
+    font-size: 0.8125rem;
+    color: #475569;
+    line-height: 1.6;
+    margin: 0;
+  }
+
+  /* ── Severity Pills (risk table badges) ── */
+  .severity {
+    display: inline-block;
+    padding: 0.125rem 0.5rem;
+    border-radius: 9999px;
+    font-size: 0.6875rem;
+    font-weight: 700;
+    letter-spacing: 0.03em;
+    white-space: nowrap;
+  }
+  .severity--high {
+    background: #FEE2E2;
+    color: #991B1B;
+  }
+  .severity--medium-high {
+    background: #FEF3C7;
+    color: #92400E;
+  }
+  .severity--medium {
+    background: #FEF9C3;
+    color: #713F12;
+  }
+  .severity--low-medium {
+    background: #ECFDF5;
+    color: #065F46;
+  }
+  .severity--low {
+    background: #F0FDF4;
+    color: #166534;
+  }
+
   /* Inline HTMX loading indicator for search forms.
      Opacity is handled by HTMX's built-in .htmx-indicator CSS.
      This class only adds positioning and the spin animation. */

web/src/padelnomics/suppliers/routes.py

@@ -11,6 +11,7 @@ from werkzeug.utils import secure_filename
 from ..core import (
     capture_waitlist_email,
     config,
+    count_where,
     csrf_protect,
     execute,
     feature_gate,
@@ -776,9 +777,8 @@ async def dashboard_overview():
     supplier = g.supplier
 
     # Leads unlocked count
-    unlocked = await fetch_one(
+    leads_unlocked = await count_where(
-        "SELECT COUNT(*) as cnt FROM lead_forwards WHERE supplier_id = ?",
+        "lead_forwards WHERE supplier_id = ?", (supplier["id"],)
-        (supplier["id"],),
     )
 
     # New leads matching supplier's area since last login
@@ -787,22 +787,20 @@ async def dashboard_overview():
     new_leads_count = 0
     if service_area:
         placeholders = ",".join("?" * len(service_area))
-        row = await fetch_one(
+        new_leads_count = await count_where(
-            f"""SELECT COUNT(*) as cnt FROM lead_requests
+            f"""lead_requests
                 WHERE lead_type = 'quote' AND status = 'new' AND verified_at IS NOT NULL
                 AND country IN ({placeholders})
                 AND NOT EXISTS (SELECT 1 FROM lead_forwards WHERE lead_id = lead_requests.id AND supplier_id = ?)""",
             (*service_area, supplier["id"]),
         )
-        new_leads_count = row["cnt"] if row else 0
     else:
-        row = await fetch_one(
+        new_leads_count = await count_where(
-            """SELECT COUNT(*) as cnt FROM lead_requests
+            """lead_requests
                WHERE lead_type = 'quote' AND status = 'new' AND verified_at IS NOT NULL
                AND NOT EXISTS (SELECT 1 FROM lead_forwards WHERE lead_id = lead_requests.id AND supplier_id = ?)""",
             (supplier["id"],),
         )
-        new_leads_count = row["cnt"] if row else 0
 
     # Recent activity (last 10 events from credit_ledger + lead_forwards)
     recent_activity = await fetch_all(
@@ -825,16 +823,14 @@ async def dashboard_overview():
     # Enquiry count for Basic tier
     enquiry_count = 0
     if supplier.get("tier") == "basic":
-        eq_row = await fetch_one(
+        enquiry_count = await count_where(
-            "SELECT COUNT(*) as cnt FROM supplier_enquiries WHERE supplier_id = ?",
+            "supplier_enquiries WHERE supplier_id = ?", (supplier["id"],)
-            (supplier["id"],),
         )
-        enquiry_count = eq_row["cnt"] if eq_row else 0
 
     return await render_template(
         "suppliers/partials/dashboard_overview.html",
         supplier=supplier,
-        leads_unlocked=unlocked["cnt"] if unlocked else 0,
+        leads_unlocked=leads_unlocked,
         new_leads_count=new_leads_count,
         recent_activity=recent_activity,
         active_boosts=active_boosts,

web/tests/conftest.py

@@ -125,6 +125,32 @@ async def auth_client(app, test_user):
         yield c
 
 
+@pytest.fixture
+async def admin_client(app, db):
+    """Test client with an admin user pre-loaded in session."""
+    now = datetime.now(UTC).isoformat()
+    async with db.execute(
+        "INSERT INTO users (email, name, created_at) VALUES (?, ?, ?)",
+        ("admin@test.com", "Admin", now),
+    ) as cursor:
+        user_id = cursor.lastrowid
+    await db.execute(
+        "INSERT INTO user_roles (user_id, role) VALUES (?, 'admin')", (user_id,)
+    )
+    await db.commit()
+    async with app.test_client() as c:
+        async with c.session_transaction() as sess:
+            sess["user_id"] = user_id
+        yield c
+
+
+@pytest.fixture
+def mock_send_email():
+    """Patch padelnomics.worker.send_email for the duration of the test."""
+    with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock:
+        yield mock
+
+
 # ── Subscriptions ────────────────────────────────────────────
 
 @pytest.fixture

web/tests/test_businessplan.py

@@ -9,7 +9,6 @@ Covers:
 """
 from datetime import UTC, datetime
 from pathlib import Path
-from unittest.mock import AsyncMock, patch
 
 import pytest
 from padelnomics.businessplan import generate_business_plan, get_plan_sections
@@ -184,13 +183,12 @@ async def _insert_export(db, user_id: int, scenario_id: int, status: str = "pend
 
 @requires_weasyprint
 class TestWorkerHandler:
-    async def test_happy_path_generates_pdf_and_updates_status(self, db, scenario):
+    async def test_happy_path_generates_pdf_and_updates_status(self, db, scenario, mock_send_email):
         from padelnomics.worker import handle_generate_business_plan
 
         export = await _insert_export(db, scenario["user_id"], scenario["id"])
         output_file = None
 
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_email:
         await handle_generate_business_plan({
             "export_id": export["id"],
             "user_id": scenario["user_id"],
@@ -214,14 +212,14 @@ class TestWorkerHandler:
             assert output_file.read_bytes()[:4] == b"%PDF"
 
             # Email should have been sent
-            mock_email.assert_called_once()
+            mock_send_email.assert_called_once()
-            assert "to" in mock_email.call_args.kwargs
+            assert "to" in mock_send_email.call_args.kwargs
-            assert "subject" in mock_email.call_args.kwargs
+            assert "subject" in mock_send_email.call_args.kwargs
         finally:
             if output_file and output_file.exists():
                 output_file.unlink()
 
-    async def test_marks_failed_on_bad_scenario(self, db, scenario):
+    async def test_marks_failed_on_bad_scenario(self, db, scenario, mock_send_email):
         """Handler marks export failed when user_id doesn't match scenario owner."""
         from padelnomics.worker import handle_generate_business_plan
 
@@ -229,7 +227,6 @@ class TestWorkerHandler:
         wrong_user_id = scenario["user_id"] + 9999
         export = await _insert_export(db, scenario["user_id"], scenario["id"])
 
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock):
         with pytest.raises(ValueError):
             await handle_generate_business_plan({
                 "export_id": export["id"],

web/tests/test_content.py

@@ -938,26 +938,6 @@ class TestRouteRegistration:
 # Admin routes (require admin session)
 # ════════════════════════════════════════════════════════════
 
-@pytest.fixture
-async def admin_client(app, db):
-    """Test client with admin user (has admin role)."""
-    now = utcnow_iso()
-    async with db.execute(
-        "INSERT INTO users (email, name, created_at) VALUES (?, ?, ?)",
-        ("admin@test.com", "Admin", now),
-    ) as cursor:
-        admin_id = cursor.lastrowid
-    await db.execute(
-        "INSERT INTO user_roles (user_id, role) VALUES (?, 'admin')", (admin_id,)
-    )
-    await db.commit()
-
-    async with app.test_client() as c:
-        async with c.session_transaction() as sess:
-            sess["user_id"] = admin_id
-        yield c
-
-
 class TestAdminTemplates:
     async def test_template_list_requires_admin(self, client):
         resp = await client.get("/admin/templates")

web/tests/test_email_templates.py

@@ -9,7 +9,6 @@ Admin gallery tests: access control, list page, preview page, error handling.
 """
 
 import pytest
-from padelnomics.core import utcnow_iso
 from padelnomics.email_templates import EMAIL_TEMPLATE_REGISTRY, render_email_template
 
 # ── render_email_template() ──────────────────────────────────────────────────
@@ -124,26 +123,6 @@ class TestRenderEmailTemplate:
 # ── Admin gallery routes ──────────────────────────────────────────────────────
 
 
-@pytest.fixture
-async def admin_client(app, db):
-    """Test client with a user that has the admin role."""
-    now = utcnow_iso()
-    async with db.execute(
-        "INSERT INTO users (email, name, created_at) VALUES (?, ?, ?)",
-        ("gallery_admin@test.com", "Gallery Admin", now),
-    ) as cursor:
-        admin_id = cursor.lastrowid
-    await db.execute(
-        "INSERT INTO user_roles (user_id, role) VALUES (?, 'admin')", (admin_id,)
-    )
-    await db.commit()
-
-    async with app.test_client() as c:
-        async with c.session_transaction() as sess:
-            sess["user_id"] = admin_id
-        yield c
-
-
 class TestEmailGalleryRoutes:
     @pytest.mark.asyncio
     async def test_gallery_requires_auth(self, client):

web/tests/test_emails.py

@@ -50,58 +50,50 @@ def _assert_common_design(html: str, lang: str = "en"):
 
 class TestMagicLink:
     @pytest.mark.asyncio
-    async def test_sends_to_correct_recipient(self):
+    async def test_sends_to_correct_recipient(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_magic_link({"email": "user@example.com", "token": "abc123"})
-            kw = _call_kwargs(mock_send)
+        kw = _call_kwargs(mock_send_email)
         assert kw["to"] == "user@example.com"
 
     @pytest.mark.asyncio
-    async def test_subject_contains_app_name(self):
+    async def test_subject_contains_app_name(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_magic_link({"email": "user@example.com", "token": "abc123"})
-            kw = _call_kwargs(mock_send)
+        kw = _call_kwargs(mock_send_email)
         assert core.config.APP_NAME.lower() in kw["subject"].lower()
 
     @pytest.mark.asyncio
-    async def test_html_contains_verify_link(self):
+    async def test_html_contains_verify_link(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_magic_link({"email": "user@example.com", "token": "abc123"})
-            kw = _call_kwargs(mock_send)
+        kw = _call_kwargs(mock_send_email)
         assert "/auth/verify?token=abc123" in kw["html"]
 
     @pytest.mark.asyncio
-    async def test_html_contains_fallback_link_text(self):
+    async def test_html_contains_fallback_link_text(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_magic_link({"email": "user@example.com", "token": "tok"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "word-break:break-all" in html  # fallback URL block
 
     @pytest.mark.asyncio
-    async def test_uses_transactional_from_addr(self):
+    async def test_uses_transactional_from_addr(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_magic_link({"email": "user@example.com", "token": "tok"})
-            assert _call_kwargs(mock_send)["from_addr"] == core.EMAIL_ADDRESSES["transactional"]
+        assert _call_kwargs(mock_send_email)["from_addr"] == core.EMAIL_ADDRESSES["transactional"]
 
     @pytest.mark.asyncio
-    async def test_preheader_mentions_expiry(self):
+    async def test_preheader_mentions_expiry(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_magic_link({"email": "user@example.com", "token": "tok"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         # preheader is hidden span; should mention minutes
         assert "display:none" in html  # preheader present
 
     @pytest.mark.asyncio
-    async def test_design_elements_present(self):
+    async def test_design_elements_present(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_magic_link({"email": "user@example.com", "token": "tok"})
-            _assert_common_design(_call_kwargs(mock_send)["html"])
+        _assert_common_design(_call_kwargs(mock_send_email)["html"])
 
     @pytest.mark.asyncio
-    async def test_respects_lang_parameter(self):
+    async def test_respects_lang_parameter(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_magic_link({"email": "user@example.com", "token": "tok", "lang": "de"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         _assert_common_design(html, lang="de")
 
 
@@ -110,58 +102,50 @@ class TestMagicLink:
 
 class TestWelcome:
     @pytest.mark.asyncio
-    async def test_sends_to_correct_recipient(self):
+    async def test_sends_to_correct_recipient(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_welcome({"email": "new@example.com"})
-            assert _call_kwargs(mock_send)["to"] == "new@example.com"
+        assert _call_kwargs(mock_send_email)["to"] == "new@example.com"
 
     @pytest.mark.asyncio
-    async def test_subject_not_empty(self):
+    async def test_subject_not_empty(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_welcome({"email": "new@example.com"})
-            assert len(_call_kwargs(mock_send)["subject"]) > 5
+        assert len(_call_kwargs(mock_send_email)["subject"]) > 5
 
     @pytest.mark.asyncio
-    async def test_html_contains_quickstart_links(self):
+    async def test_html_contains_quickstart_links(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_welcome({"email": "new@example.com"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "/planner" in html
         assert "/markets" in html
         assert "/leads/quote" in html
 
     @pytest.mark.asyncio
-    async def test_uses_first_name_when_provided(self):
+    async def test_uses_first_name_when_provided(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_welcome({"email": "new@example.com", "name": "Alice Smith"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "Alice" in html
 
     @pytest.mark.asyncio
-    async def test_fallback_greeting_when_no_name(self):
+    async def test_fallback_greeting_when_no_name(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_welcome({"email": "new@example.com"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         # Should use "there" as fallback first_name
         assert "there" in html.lower()
 
     @pytest.mark.asyncio
-    async def test_uses_transactional_from_addr(self):
+    async def test_uses_transactional_from_addr(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_welcome({"email": "new@example.com"})
-            assert _call_kwargs(mock_send)["from_addr"] == core.EMAIL_ADDRESSES["transactional"]
+        assert _call_kwargs(mock_send_email)["from_addr"] == core.EMAIL_ADDRESSES["transactional"]
 
     @pytest.mark.asyncio
-    async def test_design_elements_present(self):
+    async def test_design_elements_present(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_welcome({"email": "new@example.com"})
-            _assert_common_design(_call_kwargs(mock_send)["html"])
+        _assert_common_design(_call_kwargs(mock_send_email)["html"])
 
     @pytest.mark.asyncio
-    async def test_german_welcome(self):
+    async def test_german_welcome(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_welcome({"email": "new@example.com", "lang": "de"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         _assert_common_design(html, lang="de")
 
 
@@ -180,57 +164,50 @@ class TestQuoteVerification:
     }
 
     @pytest.mark.asyncio
-    async def test_sends_to_contact_email(self):
+    async def test_sends_to_contact_email(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_quote_verification(self._BASE_PAYLOAD)
-            assert _call_kwargs(mock_send)["to"] == "lead@example.com"
+        assert _call_kwargs(mock_send_email)["to"] == "lead@example.com"
 
     @pytest.mark.asyncio
-    async def test_html_contains_verify_link(self):
+    async def test_html_contains_verify_link(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_quote_verification(self._BASE_PAYLOAD)
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "token=verify_tok" in html
         assert "lead=lead_tok" in html
 
     @pytest.mark.asyncio
-    async def test_html_contains_project_recap(self):
+    async def test_html_contains_project_recap(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_quote_verification(self._BASE_PAYLOAD)
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "6 courts" in html
         assert "Indoor" in html
         assert "Germany" in html
 
     @pytest.mark.asyncio
-    async def test_uses_first_name_from_contact(self):
+    async def test_uses_first_name_from_contact(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_quote_verification(self._BASE_PAYLOAD)
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "Bob" in html
 
     @pytest.mark.asyncio
-    async def test_handles_minimal_payload(self):
+    async def test_handles_minimal_payload(self, mock_send_email):
         """No court_count/facility_type/country — should still send."""
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_quote_verification({
             "email": "lead@example.com",
             "token": "tok",
             "lead_token": "ltok",
         })
-            mock_send.assert_called_once()
+        mock_send_email.assert_called_once()
 
     @pytest.mark.asyncio
-    async def test_uses_transactional_from_addr(self):
+    async def test_uses_transactional_from_addr(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_quote_verification(self._BASE_PAYLOAD)
-            assert _call_kwargs(mock_send)["from_addr"] == core.EMAIL_ADDRESSES["transactional"]
+        assert _call_kwargs(mock_send_email)["from_addr"] == core.EMAIL_ADDRESSES["transactional"]
 
     @pytest.mark.asyncio
-    async def test_design_elements_present(self):
+    async def test_design_elements_present(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_quote_verification(self._BASE_PAYLOAD)
-            _assert_common_design(_call_kwargs(mock_send)["html"])
+        _assert_common_design(_call_kwargs(mock_send_email)["html"])
 
 
 # ── Lead Forward (the money email) ──────────────────────────────
@@ -238,88 +215,70 @@ class TestQuoteVerification:
 
 class TestLeadForward:
     @pytest.mark.asyncio
-    async def test_sends_to_supplier_email(self, db):
+    async def test_sends_to_supplier_email(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            assert _call_kwargs(mock_send)["to"] == "supplier@test.com"
+        assert _call_kwargs(mock_send_email)["to"] == "supplier@test.com"
 
     @pytest.mark.asyncio
-    async def test_subject_contains_heat_and_country(self, db):
+    async def test_subject_contains_heat_and_country(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            subject = _call_kwargs(mock_send)["subject"]
+        subject = _call_kwargs(mock_send_email)["subject"]
         assert "[HOT]" in subject
         assert "Germany" in subject
         assert "4 courts" in subject
 
     @pytest.mark.asyncio
-    async def test_html_contains_heat_badge(self, db):
+    async def test_html_contains_heat_badge(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "#DC2626" in html  # HOT badge color
         assert "HOT" in html
 
     @pytest.mark.asyncio
-    async def test_html_contains_project_brief(self, db):
+    async def test_html_contains_project_brief(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "Indoor" in html
         assert "Germany" in html
 
     @pytest.mark.asyncio
-    async def test_html_contains_contact_info(self, db):
+    async def test_html_contains_contact_info(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "lead@buyer.com" in html
         assert "mailto:lead@buyer.com" in html
         assert "John Doe" in html
 
     @pytest.mark.asyncio
-    async def test_html_contains_urgency_callout(self, db):
+    async def test_html_contains_urgency_callout(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         # Urgency callout has yellow background
         assert "#FEF3C7" in html
 
     @pytest.mark.asyncio
-    async def test_html_contains_direct_reply_cta(self, db):
+    async def test_html_contains_direct_reply_cta(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         # Direct reply link text should mention the contact email
         assert "lead@buyer.com" in html
 
     @pytest.mark.asyncio
-    async def test_uses_leads_from_addr(self, db):
+    async def test_uses_leads_from_addr(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            assert _call_kwargs(mock_send)["from_addr"] == core.EMAIL_ADDRESSES["leads"]
+        assert _call_kwargs(mock_send_email)["from_addr"] == core.EMAIL_ADDRESSES["leads"]
 
     @pytest.mark.asyncio
-    async def test_updates_email_sent_at(self, db):
+    async def test_updates_email_sent_at(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db, create_forward=True)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock):
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
 
         async with db.execute(
@@ -331,30 +290,24 @@ class TestLeadForward:
             assert row["email_sent_at"] is not None
 
     @pytest.mark.asyncio
-    async def test_skips_when_no_supplier_email(self, db):
+    async def test_skips_when_no_supplier_email(self, db, mock_send_email):
         """No email on supplier record — handler exits without sending."""
         lead_id, supplier_id = await _seed_lead_and_supplier(db, supplier_email="")
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            mock_send.assert_not_called()
+        mock_send_email.assert_not_called()
 
     @pytest.mark.asyncio
-    async def test_skips_when_lead_not_found(self, db):
+    async def test_skips_when_lead_not_found(self, db, mock_send_email):
         """Non-existent lead_id — handler exits without sending."""
         _, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": 99999, "supplier_id": supplier_id})
-            mock_send.assert_not_called()
+        mock_send_email.assert_not_called()
 
     @pytest.mark.asyncio
-    async def test_design_elements_present(self, db):
+    async def test_design_elements_present(self, db, mock_send_email):
         lead_id, supplier_id = await _seed_lead_and_supplier(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_forward_email({"lead_id": lead_id, "supplier_id": supplier_id})
-            _assert_common_design(_call_kwargs(mock_send)["html"])
+        _assert_common_design(_call_kwargs(mock_send_email)["html"])
 
 
 # ── Lead Matched Notification ────────────────────────────────────
@@ -362,70 +315,55 @@ class TestLeadForward:
 
 class TestLeadMatched:
     @pytest.mark.asyncio
-    async def test_sends_to_lead_contact_email(self, db):
+    async def test_sends_to_lead_contact_email(self, db, mock_send_email):
         lead_id = await _seed_lead(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_matched_notification({"lead_id": lead_id})
-            assert _call_kwargs(mock_send)["to"] == "lead@buyer.com"
+        assert _call_kwargs(mock_send_email)["to"] == "lead@buyer.com"
 
     @pytest.mark.asyncio
-    async def test_subject_contains_first_name(self, db):
+    async def test_subject_contains_first_name(self, db, mock_send_email):
         lead_id = await _seed_lead(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_matched_notification({"lead_id": lead_id})
-            assert "John" in _call_kwargs(mock_send)["subject"]
+        assert "John" in _call_kwargs(mock_send_email)["subject"]
 
     @pytest.mark.asyncio
-    async def test_html_contains_what_happens_next(self, db):
+    async def test_html_contains_what_happens_next(self, db, mock_send_email):
         lead_id = await _seed_lead(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_matched_notification({"lead_id": lead_id})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         # "What happens next" section and tip callout (blue bg)
         assert "#F0F9FF" in html  # tip callout background
 
     @pytest.mark.asyncio
-    async def test_html_contains_project_context(self, db):
+    async def test_html_contains_project_context(self, db, mock_send_email):
         lead_id = await _seed_lead(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_matched_notification({"lead_id": lead_id})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "Indoor" in html
         assert "Germany" in html
 
     @pytest.mark.asyncio
-    async def test_uses_leads_from_addr(self, db):
+    async def test_uses_leads_from_addr(self, db, mock_send_email):
         lead_id = await _seed_lead(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_matched_notification({"lead_id": lead_id})
-            assert _call_kwargs(mock_send)["from_addr"] == core.EMAIL_ADDRESSES["leads"]
+        assert _call_kwargs(mock_send_email)["from_addr"] == core.EMAIL_ADDRESSES["leads"]
 
     @pytest.mark.asyncio
-    async def test_skips_when_lead_not_found(self, db):
+    async def test_skips_when_lead_not_found(self, db, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_matched_notification({"lead_id": 99999})
-            mock_send.assert_not_called()
+        mock_send_email.assert_not_called()
 
     @pytest.mark.asyncio
-    async def test_skips_when_no_contact_email(self, db):
+    async def test_skips_when_no_contact_email(self, db, mock_send_email):
         lead_id = await _seed_lead(db, contact_email="")
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_matched_notification({"lead_id": lead_id})
-            mock_send.assert_not_called()
+        mock_send_email.assert_not_called()
 
     @pytest.mark.asyncio
-    async def test_design_elements_present(self, db):
+    async def test_design_elements_present(self, db, mock_send_email):
         lead_id = await _seed_lead(db)
-
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_lead_matched_notification({"lead_id": lead_id})
-            _assert_common_design(_call_kwargs(mock_send)["html"])
+        _assert_common_design(_call_kwargs(mock_send_email)["html"])
 
 
 # ── Supplier Enquiry ─────────────────────────────────────────────
@@ -441,50 +379,43 @@ class TestSupplierEnquiry:
     }
 
     @pytest.mark.asyncio
-    async def test_sends_to_supplier_email(self):
+    async def test_sends_to_supplier_email(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_supplier_enquiry_email(self._BASE_PAYLOAD)
-            assert _call_kwargs(mock_send)["to"] == "supplier@corp.com"
+        assert _call_kwargs(mock_send_email)["to"] == "supplier@corp.com"
 
     @pytest.mark.asyncio
-    async def test_subject_contains_contact_name(self):
+    async def test_subject_contains_contact_name(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_supplier_enquiry_email(self._BASE_PAYLOAD)
-            assert "Alice Smith" in _call_kwargs(mock_send)["subject"]
+        assert "Alice Smith" in _call_kwargs(mock_send_email)["subject"]
 
     @pytest.mark.asyncio
-    async def test_html_contains_message(self):
+    async def test_html_contains_message(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_supplier_enquiry_email(self._BASE_PAYLOAD)
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "4 courts" in html
         assert "alice@buyer.com" in html
 
     @pytest.mark.asyncio
-    async def test_html_contains_respond_fast_nudge(self):
+    async def test_html_contains_respond_fast_nudge(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_supplier_enquiry_email(self._BASE_PAYLOAD)
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         # The respond-fast nudge line should be present
         assert "24" in html  # "24 hours" reference
 
     @pytest.mark.asyncio
-    async def test_skips_when_no_supplier_email(self):
+    async def test_skips_when_no_supplier_email(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_supplier_enquiry_email({**self._BASE_PAYLOAD, "supplier_email": ""})
-            mock_send.assert_not_called()
+        mock_send_email.assert_not_called()
 
     @pytest.mark.asyncio
-    async def test_uses_transactional_from_addr(self):
+    async def test_uses_transactional_from_addr(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_supplier_enquiry_email(self._BASE_PAYLOAD)
-            assert _call_kwargs(mock_send)["from_addr"] == core.EMAIL_ADDRESSES["transactional"]
+        assert _call_kwargs(mock_send_email)["from_addr"] == core.EMAIL_ADDRESSES["transactional"]
 
     @pytest.mark.asyncio
-    async def test_design_elements_present(self):
+    async def test_design_elements_present(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_supplier_enquiry_email(self._BASE_PAYLOAD)
-            _assert_common_design(_call_kwargs(mock_send)["html"])
+        _assert_common_design(_call_kwargs(mock_send_email)["html"])
 
 
 # ── Waitlist (supplement existing test_waitlist.py) ──────────────
@@ -494,31 +425,27 @@ class TestWaitlistEmails:
     """Verify design & content for waitlist confirmation emails."""
 
     @pytest.mark.asyncio
-    async def test_general_waitlist_has_preheader(self):
+    async def test_general_waitlist_has_preheader(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_waitlist_confirmation({"email": "u@example.com", "intent": "signup"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         assert "display:none" in html  # preheader span
 
     @pytest.mark.asyncio
-    async def test_supplier_waitlist_mentions_plan(self):
+    async def test_supplier_waitlist_mentions_plan(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_waitlist_confirmation({"email": "s@example.com", "intent": "supplier_growth"})
-            kw = _call_kwargs(mock_send)
+        kw = _call_kwargs(mock_send_email)
         assert "growth" in kw["subject"].lower()
         assert "supplier" in kw["html"].lower()
 
     @pytest.mark.asyncio
-    async def test_general_waitlist_design_elements(self):
+    async def test_general_waitlist_design_elements(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_waitlist_confirmation({"email": "u@example.com", "intent": "signup"})
-            _assert_common_design(_call_kwargs(mock_send)["html"])
+        _assert_common_design(_call_kwargs(mock_send_email)["html"])
 
     @pytest.mark.asyncio
-    async def test_supplier_waitlist_perks_listed(self):
+    async def test_supplier_waitlist_perks_listed(self, mock_send_email):
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_waitlist_confirmation({"email": "s@example.com", "intent": "supplier_pro"})
-            html = _call_kwargs(mock_send)["html"]
+        html = _call_kwargs(mock_send_email)["html"]
         # Should have <li> perks
         assert html.count("<li>") >= 3
 

web/tests/test_feature_flags.py

@@ -10,7 +10,6 @@ import sqlite3
 from unittest.mock import AsyncMock, patch
 
 import pytest
-from padelnomics.core import utcnow_iso
 from padelnomics.migrations.migrate import migrate
 
 from padelnomics import core
@@ -25,25 +24,6 @@ def mock_csrf_validation():
         yield
 
 
-@pytest.fixture
-async def admin_client(app, db):
-    """Test client with an admin-role user session (module-level, follows test_content.py)."""
-    now = utcnow_iso()
-    async with db.execute(
-        "INSERT INTO users (email, name, created_at) VALUES (?, ?, ?)",
-        ("flags_admin@test.com", "Flags Admin", now),
-    ) as cursor:
-        admin_id = cursor.lastrowid
-    await db.execute(
-        "INSERT INTO user_roles (user_id, role) VALUES (?, 'admin')", (admin_id,)
-    )
-    await db.commit()
-    async with app.test_client() as c:
-        async with c.session_transaction() as sess:
-            sess["user_id"] = admin_id
-        yield c
-
-
 async def _set_flag(db, name: str, enabled: bool, description: str = ""):
     """Insert or replace a flag in the test DB."""
     await db.execute(

web/tests/test_outreach.py

@@ -46,26 +46,6 @@ def _bypass_csrf():
         yield
 
 
-@pytest.fixture
-async def admin_client(app, db):
-    """Test client with an admin user pre-loaded in session."""
-    now = datetime.now(UTC).isoformat()
-    async with db.execute(
-        "INSERT INTO users (email, name, created_at) VALUES (?, ?, ?)",
-        ("admin@example.com", "Admin User", now),
-    ) as cursor:
-        user_id = cursor.lastrowid
-    await db.execute(
-        "INSERT INTO user_roles (user_id, role) VALUES (?, 'admin')", (user_id,)
-    )
-    await db.commit()
-
-    async with app.test_client() as c:
-        async with c.session_transaction() as sess:
-            sess["user_id"] = user_id
-        yield c
-
-
 async def _insert_supplier(
     db,
     name: str = "Test Supplier",

web/tests/test_pipeline.py

@@ -14,31 +14,10 @@ from unittest.mock import AsyncMock, MagicMock, patch
 
 import padelnomics.admin.pipeline_routes as pipeline_mod
 import pytest
-from padelnomics.core import utcnow_iso
 
 # ── Fixtures ──────────────────────────────────────────────────────────────────
 
 
-@pytest.fixture
-async def admin_client(app, db):
-    """Authenticated admin test client."""
-    now = utcnow_iso()
-    async with db.execute(
-        "INSERT INTO users (email, name, created_at) VALUES (?, ?, ?)",
-        ("pipeline-admin@test.com", "Pipeline Admin", now),
-    ) as cursor:
-        admin_id = cursor.lastrowid
-    await db.execute(
-        "INSERT INTO user_roles (user_id, role) VALUES (?, 'admin')", (admin_id,)
-    )
-    await db.commit()
-
-    async with app.test_client() as c:
-        async with c.session_transaction() as sess:
-            sess["user_id"] = admin_id
-        yield c
-
-
 @pytest.fixture
 def state_db_dir():
     """Temp directory with a seeded .state.sqlite for testing."""

web/tests/test_pseo.py

@@ -10,7 +10,6 @@ Covers:
 import json
 from unittest.mock import patch
 
-import pytest
 from padelnomics.content.health import (
     check_broken_scenario_refs,
     check_hreflang_orphans,
@@ -27,26 +26,6 @@ from padelnomics import core
 # ── Fixtures ──────────────────────────────────────────────────────────────────
 
 
-@pytest.fixture
-async def admin_client(app, db):
-    """Authenticated admin test client."""
-    now = utcnow_iso()
-    async with db.execute(
-        "INSERT INTO users (email, name, created_at) VALUES (?, ?, ?)",
-        ("pseo-admin@test.com", "pSEO Admin", now),
-    ) as cursor:
-        admin_id = cursor.lastrowid
-    await db.execute(
-        "INSERT INTO user_roles (user_id, role) VALUES (?, 'admin')", (admin_id,)
-    )
-    await db.commit()
-
-    async with app.test_client() as c:
-        async with c.session_transaction() as sess:
-            sess["user_id"] = admin_id
-        yield c
-
-
 # ── DB helpers ────────────────────────────────────────────────────────────────
 
 

web/tests/test_seo.py

@@ -89,26 +89,6 @@ async def articles_data(db, seo_data):
     await db.commit()
 
 
-@pytest.fixture
-async def admin_client(app, db):
-    """Authenticated admin client."""
-    now = utcnow_iso()
-    async with db.execute(
-        "INSERT INTO users (email, name, created_at) VALUES (?, ?, ?)",
-        ("admin@test.com", "Admin", now),
-    ) as cursor:
-        admin_id = cursor.lastrowid
-    await db.execute(
-        "INSERT INTO user_roles (user_id, role) VALUES (?, 'admin')", (admin_id,)
-    )
-    await db.commit()
-
-    async with app.test_client() as c:
-        async with c.session_transaction() as sess:
-            sess["user_id"] = admin_id
-        yield c
-
-
 # ── Query function tests ─────────────────────────────────────
 
 class TestSearchPerformance:

web/tests/test_supervisor.py

@@ -286,21 +286,17 @@ class TestLoadProxyTiers:
         assert len(tiers) == 1
         assert tiers[0] == ["http://res1:8080"]
 
-    def test_three_tiers_correct_order(self, monkeypatch):
+    def test_two_tiers_correct_order(self, monkeypatch):
         self._clear_proxy_env(monkeypatch)
-        with patch("padelnomics_extract.proxy.fetch_webshare_proxies", return_value=["http://user:pass@1.2.3.4:1080"]):
-            monkeypatch.setenv("WEBSHARE_DOWNLOAD_URL", "http://example.com/list")
         monkeypatch.setenv("PROXY_URLS_DATACENTER", "http://dc1:8080")
         monkeypatch.setenv("PROXY_URLS_RESIDENTIAL", "http://res1:8080")
         tiers = load_proxy_tiers()
-        assert len(tiers) == 3
+        assert len(tiers) == 2
-        assert tiers[0] == ["http://user:pass@1.2.3.4:1080"]  # free
+        assert tiers[0] == ["http://dc1:8080"]   # datacenter (tier 1)
-        assert tiers[1] == ["http://dc1:8080"]                 # datacenter
+        assert tiers[1] == ["http://res1:8080"]  # residential (tier 2)
-        assert tiers[2] == ["http://res1:8080"]                # residential
 
-    def test_webshare_fetch_failure_skips_tier(self, monkeypatch):
+    def test_webshare_env_var_is_ignored(self, monkeypatch):
         self._clear_proxy_env(monkeypatch)
-        with patch("padelnomics_extract.proxy.fetch_webshare_proxies", return_value=[]):
         monkeypatch.setenv("WEBSHARE_DOWNLOAD_URL", "http://example.com/list")
         monkeypatch.setenv("PROXY_URLS_DATACENTER", "http://dc1:8080")
         tiers = load_proxy_tiers()

web/tests/test_waitlist.py

@@ -188,58 +188,54 @@ class TestWorkerTask:
     """Test send_waitlist_confirmation worker task."""
 
     @pytest.mark.asyncio
-    async def test_sends_entrepreneur_confirmation(self):
+    async def test_sends_entrepreneur_confirmation(self, mock_send_email):
         """Task sends confirmation email for entrepreneur signup."""
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_waitlist_confirmation({
             "email": "entrepreneur@example.com",
             "intent": "signup",
         })
 
-            mock_send.assert_called_once()
+        mock_send_email.assert_called_once()
-            call_args = mock_send.call_args
+        call_args = mock_send_email.call_args
         assert call_args.kwargs["to"] == "entrepreneur@example.com"
         assert "notify you at launch" in call_args.kwargs["subject"].lower()
         assert "waitlist" in call_args.kwargs["html"].lower()
 
     @pytest.mark.asyncio
-    async def test_sends_supplier_confirmation(self):
+    async def test_sends_supplier_confirmation(self, mock_send_email):
         """Task sends confirmation email for supplier signup."""
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_waitlist_confirmation({
             "email": "supplier@example.com",
             "intent": "supplier_growth",
         })
 
-            mock_send.assert_called_once()
+        mock_send_email.assert_called_once()
-            call_args = mock_send.call_args
+        call_args = mock_send_email.call_args
         assert call_args.kwargs["to"] == "supplier@example.com"
         assert "growth" in call_args.kwargs["subject"].lower()
         assert "supplier" in call_args.kwargs["html"].lower()
 
     @pytest.mark.asyncio
-    async def test_supplier_email_includes_plan_name(self):
+    async def test_supplier_email_includes_plan_name(self, mock_send_email):
         """Supplier confirmation should mention the specific plan."""
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_waitlist_confirmation({
             "email": "supplier@example.com",
             "intent": "supplier_pro",
         })
 
-            call_args = mock_send.call_args
+        call_args = mock_send_email.call_args
         html = call_args.kwargs["html"]
         assert "pro" in html.lower()
 
     @pytest.mark.asyncio
-    async def test_uses_transactional_email_address(self):
+    async def test_uses_transactional_email_address(self, mock_send_email):
         """Task should use transactional sender address."""
-        with patch("padelnomics.worker.send_email", new_callable=AsyncMock) as mock_send:
         await handle_send_waitlist_confirmation({
             "email": "test@example.com",
             "intent": "signup",
         })
 
-            call_args = mock_send.call_args
+        call_args = mock_send_email.call_args
         assert call_args.kwargs["from_addr"] == core.EMAIL_ADDRESSES["transactional"]