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Staffjoy – Automated Workforce Scheduling
Staffjoy – Automated Workforce Scheduling
Share cardActual performance
48points
27comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →93%93% 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.
57%57% 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 Product Hunt, based on ML models trained on real launch data.
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
29%29% 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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