
Packmind Open Source
Roll out coding standards safely across repos and agents
Share cardActual performance
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Traction signals
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Launch Intel predictions
Analyze your own launch →91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
82%82% predicted probability of success on BetaList, based on ML models trained on real launch data.
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
21%21% predicted probability of success on AppSumo, 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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