Py
PyBench 2.0 – Python benchmark tool inspired by Geekbench
PyBench 2.0 – Python benchmark tool inspired by Geekbench
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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.
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
18%18% predicted probability of success on BetaList, 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.
Incorrect prediction on native model
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