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PredictionArchive - Database of Internet Predictions

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PredictionArchive - Database of Internet Predictions

PredictionArchive is the public database of the world's predictions. PredictionArchive scrapes predictions from across the internet, stores them in postgres, and then has AI grade them correct/incorrect when the time comes. I've backfilled predictions from several blogs popular on HN: marginalrevoluion.com, slatestarcodex, paulgraham.com among them. Predictions are searchable by predictor and prediction text. Touring the predictions via the /random endpoint has been fun for me. I've had the idea for years, and this has been a backburner project of mine for a while, but I recently got some time to polish it up. Hope you enjoy.

Visit productView on Hacker NewsSep 11, 2026
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Actual performance

3points
Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
73%73% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: codex, code · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: margin · Missing: arr, mrr, revenue
16%16% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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