Your iPhone collects millions of health data points but they're locked in a huge export.xml. Open Health turns that export into seven markdown files any LLM can read. Drop your zip in the browser, run the CLI, or beam it from your phone via WebRTC. Paste into ChatGPT, Claude, or a local model and ask real questions about your training and recovery. Everything runs locally — no upload, no server, no telemetry. MIT licensed, fully open source.
Hey everyone! I built Open Health because I was frustrated that my Apple Watch and iPhone had been collecting millions of data points about my sleep, heart rate, HRV, and workouts — but I couldn't actually use any of it with an LLM.
Anthropic and OpenAI both have Apple Health connectors now, but they're US-only. If you're in NZ, the UK, or the EU, you're locked out. And even if you are in the US, you don't control what the model sees or how the data is framed.
Open Health gives you that control. Export your Apple Health data (six taps in the Health app), drop the zip in the browser or run the CLI, and you get seven clean markdown files covering your health profile, weekly summaries, workouts, body composition, sleep/recovery, cardio fitness, and a ready-to-paste system prompt.
The privacy story is simple: nothing leaves your device. The entire parse runs in a Web Worker in your browser (or locally via the CLI). There's no upload endpoint because there's no server. Open DevTools and watch — the network panel stays empty.
If you want to go fully local, pipe the output into Ollama or any local model. Your health data never touches a third-party server.
MIT licensed, source on GitHub. Would love to hear what you think!
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About Open Health — Unlock Your Apple Health on Product Hunt
“Chat with your Apple Health data using any LLM”
Open Health — Unlock Your Apple Health was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #150 on the daily leaderboard. Your iPhone collects millions of health data points but they're locked in a huge export.xml. Open Health turns that export into seven markdown files any LLM can read. Drop your zip in the browser, run the CLI, or beam it from your phone via WebRTC. Paste into ChatGPT, Claude, or a local model and ask real questions about your training and recovery. Everything runs locally — no upload, no server, no telemetry. MIT licensed, fully open source.
Open Health — Unlock Your Apple Health was featured in Health & Fitness (82.5k followers), Open Source (68.3k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 141.7k products, making this a competitive space to launch in.
Who hunted Open Health — Unlock Your Apple Health?
Open Health — Unlock Your Apple Health was hunted by John Gregoriadis. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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John Gregoriadis