Py
PyProjectPlanner, budgeting and timelines in 200 lines of Python
PyProjectPlanner, budgeting and timelines in 200 lines of Python
Share cardActual performance
2points
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Launch Intel predictions
Analyze your own launch →66%66% 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.
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% predicted probability of success on TrustMRR, 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.
29%29% predicted probability of success on Indie Hackers, 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.
16%16% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
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