Ju

Just Log – Minimalist fitness tracker focused on simple workout logging

Hacker News

Just Log – Minimalist fitness tracker focused on simple workout logging

Hi HN, I built Just Log after getting frustrated with fitness apps that were too complex for basic workout tracking. Most apps have social feeds, complicated interfaces, and features I never used. Just Log focuses on the essentials: quick workout logging, habit formation, and progress tracking without the bloat. Built it in a month while sharing the process publicly on Twitter. The app uses a minimalist approach - you can log a complete workout in seconds. No social features, no notifications, just simple tracking that helps build consistency. Launched on Product Hunt today. Android is live on Google Play, iOS coming soon. Would love feedback from the HN community!

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Actual performance

2points
2comments
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
79%79% 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.
TrustMRRFits verified-revenue profile · Strong signals: ios, apps, month · Missing: mobile apps, personal, entrepreneurs
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: interface, soon · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, 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
29%29% 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
24%24% 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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