Sc
Scheduling app for a non-profit café
Scheduling app for a non-profit café
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →81%81% 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.
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
36%36% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
19%19% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
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