Turn location data into market strategy
Businesses making location-based decisions rely on expensive market research firms charging $10K+ per report. Publicly available geographic data exists but is unstructured, fragmented, and inaccessible at the scale needed for data-driven decisions.
Location intelligence is a $16B market dominated by enterprise-only solutions. Democratizing access to geographic business insights creates asymmetric advantage for SMBs competing against enterprises with dedicated market research teams.
Distributed scraping infrastructure with proxy rotation, fingerprint randomization, and rate compliance
ETL pipeline: raw listing data → normalization → geocoding enrichment → category classification → competitive density scoring → market opportunity indexing
Vector search (pgvector) for semantic location similarity — 'find areas similar to this successful location' queries in < 200ms
Real-time dashboard with drill-down analytics: market density heatmaps, competitor proximity analysis, foot traffic estimation
Pre-computed analytics tiles for instant dashboard rendering — complex aggregations run as background jobs
API-first architecture enabling white-label integration for real estate platforms and franchise consultants
Containerized Puppeteer workers behind a job queue. Residential proxy rotation, browser fingerprint randomization, and human-like interaction patterns. Backpressure throttles when error rates exceed 2%.
7 enrichment stages: geocoding verification, category normalization (10K+ categories to 200 groups), sentiment analysis, operating hours parsing, price range estimation, and competitive density scoring.
pgvector embeddings of location characteristics enable 'find similar' queries. Successful location profiles can find matching opportunities across any metro area.
Sharded scraping workers with backpressure control. Elasticsearch powers faceted search across 2M+ locations with sub-200ms query times. Pre-computed analytics tiles mean dashboard performance is O(1) regardless of dataset size.
Three revenue streams: (1) Usage-based API pricing at $0.01 per location query, (2) Automated competitive analysis PDFs at $49-199 per report, (3) White-label analytics engine as monthly SaaS licensing.
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