WorkTimes
Track your hours worked on iOS
Back in 2009 🤯 I needed a tool to track my hours worked and see my actual overtime as an employee. So I created my first iOS App.
Share cardActual performance
5followers
$4,800MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →83%83% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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