Yet Another Todo App

Hacker News

I'm neurodivergent and struggle with todo apps; they help a lot but I've also never found one that quite fits my needs. So, I built my own that I released on the iOS App Store yesterday: https://apps.apple.com/us/app/yet-another-todo-app/id6742057... It's a little different from other apps in a few ways: - It's offline first. It doesn't even make any network requests right now. It's possible I might add sync in the future but unlikely. - It's built around your daily schedule, not making lists. The default view you see is of "Today". - I worked really hard to make it wonderful to use. Like, things don't take 2 taps when they could take 1. The app _does_ cost $2. If that's a problem for you, shoot me a DM and I will send you a promo code just to check it out. Thanks!

Visit product View on Hacker NewsMay 21, 2025

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

51%51% 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

29%29% 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

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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