Polyhistor - Location Intelligence API — vibes, crowds, and timing

Polyhistor is a contextual intelligence engine for location-aware AI apps. Built on 3.55M places across 50 US metros, it understands WHERE, WHAT it feels like, WHEN to visit, and HOW crowded it is. Vibe Search: "cozy coffee shop" returns cozy spots Temporal: Knows if places are PEAK, QUIET, or CLOSED Tribe Density: heatmaps for crowd patterns (Founders, Foodies, etc.) 4x faster than Google (116ms vs 460ms), sub-20ms on repeats $297/mo vs $22,880/mo for Google. Free: $0, 5k/mo. MIT licensed.

I built Polyhistor because existing location APIs like Google Places can tell you WHERE a place is — but not HOW it feels to be there, or WHEN is the best time to visit. The idea started from a simple frustration: planning a day out in a new city means juggling 5+ tabs — Google Maps, Yelp, Instagram, Reddit, and random blogs. You never know if a place is packed or peaceful until you're already there. We spent 6+ months building a location intelligence engine on 3.55M places across 50 US metros. The result: an API that understands the vibe (cozy, romantic, hip), the crowd patterns (peak, quiet, closed), and temporal intelligence — all at 4x faster speeds than other commercial providers and a fraction of the cost ($297/mo vs $22,880/mo). MIT licensed and free for small teams. Would love your feedback!

Polyhistor - Location Intelligence API — vibes, crowds, and timing

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