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Awesome-python – Curated list of awesome frameworks,libraries&resources
Awesome-python – Curated list of awesome frameworks,libraries&resources
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →69%69% predicted probability of success on BetaList, based on ML models trained on real launch data.
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
40%40% 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.
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
15%15% 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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