Focus Streak – simple, privacy-first streak habit tracker (Android)

Hacker News

Hi HN — I built Focus Streak, a lightweight habit tracker for Android focused on streak-based motivation and privacy-first design. Key points: - Streak-based motivation + calendar view and stats - Custom habits, multiple reminders, and offline-first (no account required) - Minimal UI designed to reduce friction and help users actually keep daily routines - Built with React Native + Expo; recently published to Google Play I’d love feedback on: - UX: what frustrates you on habit apps today? - Growth/ASO: best tactics we should try next? - Any crash/bug reports (device model + android version helps) Play Store: https://play.google.com/store/apps/details?id=com.focusstrea... Thanks — I’ll be around to reply to comments and answer technical questions.

Visit product View on Hacker NewsSep 24, 2025

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best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: apps, google, users · Missing: mobile apps, ios, personal

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AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, google, apps · Missing: mac, agents, macos

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

28%28% predicted probability of success on Acquire.com, 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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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