Cr
Cryptocurrency historical price data collector library in Python 3
Cryptocurrency historical price data collector library in Python 3
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2points
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Launch Intel predictions
Analyze your own launch →86%86% 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.
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
18%18% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
17%17% 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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