Ti
Time Tracking and Analytics for freelance developers
Time Tracking and Analytics for freelance developers
My friend and I were sick of the existing options having bad ui and slow responsiveness so we made this dashboard and our own VSCode extension to go with it.
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
16%16% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Incorrect prediction on native model
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