A
A tool for detecting ABI violations in Python packages
A tool for detecting ABI violations in Python packages
Share cardActual performance
1points
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Launch Intel predictions
Analyze your own launch →57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on BetaList, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
11%11% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Incorrect prediction on native model
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