I

I made a minimalist time blocking app

Hacker News

I made a minimalist time blocking app

I made a time blocking app with a minimalist look & feel, only time blocking one day at a time, customisable intervals and easy to organize without overlapping. Current features: - choose an interval of the block to 1 hour, 30 minutes and 15 minutes. - easy to add a break time block with a single click. - easy to organise the block with drag and drop to the desired slot. - clear the day and start new for the next day Thank you, you can send suggestions and feedback on the website ( https://timeist.corneliusventi.dev ) through the feedback button at the bottom left corner.

Visit product View on Hacker NewsAug 2, 2022

Actual performance

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, single · Missing: mac, agents, macos

80%80% 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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

22%22% 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

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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