@yvesdalyy · X

u/Baconvation · Reddit

Built a tool that scores NYC apartments/blocks using public 311 complaint data Excited to share what my team and I built at the NYPL AI Hackathon: Streetwise. If you've ever searched for an apartment in NYC, you know the feeling: a listing photo tells you nothing about whether the heat actually works in January, whether the block has loud noises at 3am, or whether the building has a history of plumbing nightmares. That information exists, it's just buried in millions of rows of NYC's public

aisinghal

@VictorLepri · X

solution to organize house search, sharing with people to review and comment, rank and help make a structured decision. Tailored to NYC but works everywhere in USA

@bransburyx · X

@yerassylnu · X

Github for founders

@product_luke · X

Free roast, no signup. Reply with your landing page URL. I'll run it through -- 50 AI-simulated customers from YOUR target audience -- and post the verdict here: → score /100 → top objections → the single most brutal verbatim quote First 10 replies. Fair warning: 15% of the panel are hard rejectors. They don't do mercy.

u/Competitive_Tune_590 · Reddit

Every "startup idea validator" is AI now. I went the other way — real founders vote on your decision, and they can't see each other's answers. Type "idea validator" into Google and everything on page one is an AI that reads your pitch and generates encouragement. I've tried them. The feedback arrives instantly, costs nothing, and changes nothing — it's a language model telling you what founders in its training data would probably say. So I built the opposite on my platform ( LaunchPact — I