Day Marks
Track your performance on personally given parameters🏆
I was looking through my notebook where I typically write marks for productivity, my project efforts, and other params. I decided to explore my overall performance, and the best way to do so were – to build an app.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
48%48% predicted probability of success on AppSumo, 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.
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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