Map missing bike rack locations — crowdsourced + AI-detected rack layer

Map missing bike rack locations — crowdsourced + AI-detected rack layer targets a $1.2B = 6,000 target mid/large cities x $50K ACV ($300M) + 500 micromobility/property operators x $250K ACV ($125M) + analytics/licensing to platforms & mapping partners $775M total addressable market with low saturation and a year-over-year growth rate of 18% (geospatial & civic data combined growth; micromobility analytics growing faster).

Key trends driving demand: Micromobility adoption -- rising bike/scooter usage increases demand for precise micro-infrastructure data; Computer vision on street imagery -- automates discovery of small public assets (bike racks) at scale; Open mapping & civic data -- increasing city willingness to ingest third-party verified data layers; API-first mapping platforms -- low friction to integrate a new POI layer into consumer apps and municipal dashboards.