Prevent bad kit choices with localized weather-to-gear recommendations

Prevent bad kit choices with localized weather-to-gear recommendations targets a $8.0B = 200M active recreational cyclists x $40 ARPU/year (consumer subscriptions + affiliate commerce & B2B licensing) total addressable market with medium saturation and a year-over-year growth rate of 12% (sports-tech and subscription health/performance apps).

Key trends driving demand: Hyperlocal meteorology -- higher-res weather models (1km & below) enable route-specific forecasts that were previously impractical.; Wearables & telematics -- heart-rate/power/ride data lets models infer thermal stress and validate kit recommendations.; Performance commerce convergence -- brands want contextual commerce (recommend kit at the right time/place) to drive conversion.; Personalization & AI -- demand for prescriptive, not just descriptive, recommendations fuels adoption of tailored advice..