One page personal calendar with hierarchy

Hacker News

Hello everyone! actions.life is a one page personal calendar. Unlike traditional to-do lists, which divide information into many pages, this app uses hierarchy to fit everything* on one page. The UI is designed to be predictable, like a physical desk with moveable objects, so nothing gets forgotten. The limitation from this physical design helps with focus and restraint: unlike knowledge bases, which are vast and interconnected, “action bases” should be constraint and scoped, for encouraging action. It complements apps like Notion and Google Calendar, and works for mobile and desktop on iOS 26+ and Chrome. I hope you can give it a shot and become my user! I will fix things and improve things (I've been full-time since 2024). https://beta.actions.life

Visit product View on Hacker NewsJul 31, 2026

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos

96%96% 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.

Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

75%75% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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