Ap

Apple Health Wrapped 2025

Hacker News

Apple Health Wrapped 2025

Hi HN, I recently started running, and like most people who get into it, I began caring a lot about the data. I use an Apple Watch and Apple Health to track everything, but there’s no wrapped-style summary for that data which I can be proud of. So I built one. Apple Health Wrapped connects to your Apple Health data and generates a beautiful, shareable yearly summary (similar to Spotify Wrapped, but slightly more fun) This is a small side project and still early. I’m mainly curious: Did you liked it? What part exactly? What would you want to see in a fitness wrap that’s missing today? Happy to hear feedback here. (Disclosure: I built this, with 2 of my friends - Shivay and Aman) — Nihal If needed, you can also reach me at: nihalgoyal10@gmail.com

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple · Missing: mac, agents, macos
89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: fitness · Missing: mobile apps, ios, personal
45%45% 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
44%44% predicted probability of success on AppSumo, 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
35%35% 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
25%25% 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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