pk
pkgname, choosing good package names
pkgname, choosing good package names
Share cardActual performance
11points
19comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →48%48% predicted probability of success on BetaList, based on ML models trained on real launch data.
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.
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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