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padelnomics/transform/sqlmesh_padelnomics/models/serving
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Deeman ff6401254a feat(score): Opportunity Score v8 — better spread/discrimination 
Reweight: addressable market 20→15, economic power 15→10, supply deficit 40→50.
Supply deficit existence dampener (country_venues/50, floor 0.1): zero-venue
countries drop from ~80 to ~17. Steeper addressable market curve (LN/500K →
SQRT/1M). NULL distance gap → 0.0 (was 0.5). Added country_percentile output
column (PERCENT_RANK within country, 0–100).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 22:14:30 +01:00
..
city_venue_locations.sql
feat(maps): Phase 4 — city venue dot map
2026-03-04 15:07:06 +01:00
location_profiles.sql
feat(score): Opportunity Score v8 — better spread/discrimination
2026-03-09 22:14:30 +01:00
planner_defaults.sql
refactor(serving): replace old models with location_profiles
2026-03-06 11:39:52 +01:00
pseo_city_costs_de.sql
refactor(serving): replace old models with location_profiles
2026-03-06 11:39:52 +01:00
pseo_city_pricing.sql
refactor(serving): replace old models with location_profiles
2026-03-06 11:39:52 +01:00
pseo_country_overview.sql
fix: supply gap inflation + inline map data + guard API endpoints
2026-03-07 20:33:31 +01:00
README.md
docs: update CHANGELOG, CLAUDE.md, and comments for location_profiles
2026-03-06 11:45:08 +01:00
venue_pricing_benchmarks.sql
fix(pipeline): CAST snapshot_date to DATE in venue_pricing_benchmarks
2026-03-09 11:55:44 +01:00

README.md

serving

Analytics-ready views consumed by the web app and programmatic SEO. Query these from analytics.py via DuckDB read-only connection.

Naming convention: serving.<purpose> (e.g. serving.location_profiles)

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