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Productivity app for uninterrupted focus and automated reports

Hacker News

Productivity app for uninterrupted focus and automated reports

Hi everyone, I've been involved in co-developing Clearminute as a side project for some time now. Today we finally released it on ProductHunt: https://www.producthunt.com/posts/clearminute Clearminute is an app for productivity that starts off as an automated time tracking app. Our focus in the future will shift more and more in direction of gamification and rewarding of highly productive intensive work sessions. This is in contrast to existing apps that frequently optimize for the number of working hours per day. The underlying believe is that an intense working session followed by quality time-off for relaxation is more productive than long working hours intertwined with distraction from emails, meetings, etc. More on that topic: https://www.clearminute.com/blog/posts/uninterrupted-focus Let me know if you have any questions or thoughts! And have a great start in 2019!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, email · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: reward, time tracking · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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