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PyLancing – newsletter with freelance leads for Python Devs
PyLancing – newsletter with freelance leads for Python Devs
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Launch Intel predictions
Analyze your own launch →48%48% 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.
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
19%19% predicted probability of success on Indie Hackers, 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.
Correct prediction on native model
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