A
A glib-like multi-platform C library
A glib-like multi-platform C library
Share cardActual performance
48points
12comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
47%47% predicted probability of success on BetaList, based on ML models trained on real launch data.
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
16%16% 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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