StreetCred
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About this project
In one sentence, what are you building?
StreetCred scores how dangerous any San Francisco intersection is using the city's own crash and 311 records, then checks whether official data, live news coverage, and resident reports all agree before drafting a letter to the right District Supervisor.
What problem are you solving?
YOU CAN CLICK ON THE LINKS AND NEWS STORIES UNDER COVERAGE OF THIS CORRIDOR, USING EXA + APIFY, Gemini, DataSF, Google Street View, Cloudflare Workers. Everyone knows a corner that feels dangerous, but "feels" carries no weight at City Hall. To actually get a fix, a resident has to prove the pattern, and the proof is scattered across a crash database, a 311 queue, local news archives, and their neighbors' collective memory, none of which talk to each other. So the report never gets filed, or it gets filed as a complaint instead of a case, and it dies in a queue. StreetCred closes that gap. It turns a feeling into a ranked, sourced, gradeable claim in about ten seconds, and hands you the letter to send. The sharper framing, if you want the one-liner for the submission form: dangerous intersections stay dangerous because the evidence to fix them exists but nobody can assemble it.