I
I built a personalized startup directory
I built a personalized startup directory
Share cardActual performance
11points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
16%16% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Incorrect prediction on native model
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startup resource directory for founders with deadlines