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Library for Programming ESP32's in Nim with Arc
Library for Programming ESP32's in Nim with Arc
Share cardActual performance
10points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
58%58% predicted probability of success on BetaList, based on ML models trained on real launch data.
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
31%31% 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.
Correct prediction on native model
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