Zettel – Quick Notes (iOS)

Hacker News

Hi HN! A month ago, I wanted an app that opens instantly, stays out of the way, and stores every note as plain text. Nothing fit, so I built 'Zettel'. Zettel is nothing crazy; it's a digital piece of paper on your phone: type, swipe, done. Each note lands as a .md file in the iOS Files app, which you can use to sync to any of your other devices or applications. I use Zettel daily to quickly get thoughts out of my head, into my favourite App Obsidian. Zettel is free & open source, and 1MB in size - feel free to try it out if you like! https://apps.apple.com/de/app/zettel-quick-notes/id674852524...

Visit product View on Hacker NewsJul 24, 2025

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Launch Intel predictions

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

85%85% 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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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

36%36% 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

21%21% 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.

Correct prediction on native model

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