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MetrIQ – An AI fitness coach who supports you

Hacker News

MetrIQ – An AI fitness coach who supports you

metrIQ started as a spreadsheet for my own training. The numbers were fine, but a spreadsheet never tells you anything — it just holds what you typed. So I switched to asking ChatGPT. It could explain things, but it forgot my history, answered the same question differently on different days, couldn't give me the stats I wanted, and buried it all in generic advice. I wanted a coach who remembered me. So I built my own. The first version was a rough thing in Lovable, mostly because I wanted an excuse to try it. Then friends started using it, it actually helped them, and I rebuilt the whole app properly for launch. That's metrIQ. It's Sophia, your coach. A sentence is enough to log something, and unlike a chatbot she remembers your goals, your weeks and what went sideways last month. Her targets and nudges come out of that. She doesn't only track your fitness journey, but offers insights, advice and support. I am eager for people to try it and I appreciate all feedback, warm and cold, especially from people who are training or people who are in a weight loss journey. If you tried it and didn't like it, drop me a line about why, maybe i can fix that Nikos

Visit productView on Hacker NewsJul 29, 2026
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Actual performance

3points
8comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, started · Missing: reddit linkedin, podcasting, created
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.
Product HuntOn track for Day 1 leaderboard · Strong signals: lovable, chatgpt, using · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, way, fitness · Missing: mobile apps, ios, personal
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
25%25% 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: ide, io · Missing: https docs, excited, just released
17%17% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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