NotBuiltYet– Open-source library of civilisation problems worth solving

Hacker News

an open-source, community-vetted repository of real-world problems that AI could solve but nobody's building yet. Each idea goes through a process: Someone identifies a real inefficiency — something that could be 10x or 90% better with AI The community researches market size, existing solutions, technical feasibility, and potential impact Domain experts vote, critique, and refine Ideas that survive get a viability score and a detailed blueprint — ready for someone to pick up and build Everything is MIT licensed. The goal is simple: give builders a head start on problems that actually matter. Looking for: domain experts who can vet ideas, engineers who want to pick one and build it, and anyone who's spotted a real-world problem that AI could solve but nobody's tackling.

Visit product View on Hacker NewsFeb 26, 2026

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5points

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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