A
A CPython Library for Runtime Bytecode Transformations
A CPython Library for Runtime Bytecode Transformations
Share cardActual performance
5points
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Launch Intel predictions
Analyze your own launch →82%82% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
13%13% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
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