Staff Scheduling
Smart Staff Scheduling Software to Save Time, Reduce Costs &
Visit productView on Indie HackersJan 1, 2025commitment-full-timeemployees-1k-plusemployees-under-10
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →74%74% 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.
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
45%45% predicted probability of success on Product Hunt, 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.
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
18%18% 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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