A
A practical C library that not depend on other libraries
A practical C library that not depend on other libraries
Share cardActual performance
5points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →72%72% 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.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
36%36% 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.
17%17% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
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