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Habby – A straightforward bullet journal with habit tracking

Hacker News

Habby – A straightforward bullet journal with habit tracking

Heya HN, I started journaling about a year ago and recently landed in my perfect setup, a simple sentence to remember each day, combined with a flexible habit tracker. Over the holidays I turned this approach into a free expo app that I want to share. Basically, you get: - One sentence per day, enough to remember each day. - Flexible habit tracking (still working on finding the best UX here) - No backend, no tracking, all in device (just sentry for errors) - Clean, minimal interface - Export your data - Stats to track your progress I built this primarily for my own use, but I'd love to hear what the HN community thinks about it. Android is still in closed testing, but will be available soon. Thanks!

Visit product View on Hacker NewsJan 22, 2025

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63points

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

74%74% 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.

AppSumoStrong fit for a featured deal · Strong signals: interface, soon · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

Incorrect prediction on native model

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