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Habit-tracking app with GitHub-style grids
Hacker NewsHabit-tracking app with GitHub-style grids
Hi HN! After ~9 months of development, I published my very first app to the App Store. It's called Checker, a habit/goal-tracking app that uses GitHub-style calendar grids to visualize your progress. It's relatively simple for now but I'll be adding quite a few features in the coming months, like board color themes, Apple Health integration, more widget styles, etc. Hope you give it a try, and if you do, please let me know if you have any feedback.
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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, visual · Missing: mac, agents, macos61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month, visualize · Missing: mobile apps, ios, personal53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% 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, revenue23%23% 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, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
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