Precip
ActiveHigh precision AI weather models
About
Precip uses AI to make hyperlocal weather observations. We’re started with the most important dimension of weather: rain. For example, one of our customers uses Precip daily to make sure their heavy trucks won’t get stuck in muddy fields. Our highly rated mobile app is the best way to see rain and snow totals anywhere.
From their website
precip.ai ↗Precip provides hyper-local rainfall totals and historical weather data without physical rain gauges. It emphasizes accuracy and location-specific precipitation figures delivered via an API and app interface.
Precip measures and delivers highly local rainfall totals and historical weather data through an API and app. It enables monitoring rainfall accumulation at any location without deploying hardware, offering up-to-the-hour rainfall estimates with 1km precision and hyper-local detection. The product includes a historical weather API, rainfall alerts, multi-location views, and developer documentation for integration via an API endpoint that returns hourly rainfall history.
Who it’s for: Weather-enabled businesses and developers needing precise, location-specific rainfall data and alerts.
- Hyper-local rainfall totals
- Historical weather API
- 1km precision hourly rainfall data
- No hardware required
- Rainfall notifications and thresholds
- Multi-location rainfall view
- Developer API with documentation
Mention of demo scheduling and API docs; ongoing product-focused language suggesting traction and adoption, but no explicit funding/hiring data.
Founders · 2
Previously CEO of FarmLogs (YC W12) where we built the most popular farm management software in the US and raised $37m from top investors like Sam Altman and Drive Capital. Currently building Precip (YC W24). We measure rain without needing gauges.
Data scientist and software engineer. Fascinated by agriculture and construction.
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