... When your fitness app shows "Recovery Score: 72", do you know how it got that number? With Whoop, Oura, Fitbit you don't. Black box. Can't audit it, can't tune it, can't verify it works for your users. And it matters more than you'd think: An algorithm tuned for 25-year-old athletes gives bad scores to 65-year-old cardiac rehab patients Sleep scores built for monophasic sleepers break for shift workers HRV baselines vary ... ... health algorithms be auditable by default? Curious what you all think. We launched on Product Hunt today. If you think open health scoring matters, support us with an upvote: https://www.producthunt.com/prod... Comment from Thami Benjelloun(@thamibenjelloun): Been on Whoop

... Asking because we've shipped 220+ health tech projects at Momentum and the answer is almost always the same: wearable integrations. Not the AI. Not the UX. Not the business model. The data layer. Garmin, Whoop, Apple Health, Oura - every provider has a different auth flow, different data format, different rate limits, different webhook structure. Garmin sends XML. Whoop

... wear a WHOOP. I've coached people on movement and sleep for many years and I still can't answer that question for myself. The algorithm is locked. You get a number, you trust it, you stop there. When we built Open Wearables, we decided the scoring layer should work differently. Sleep Score and Resilience Score shipped in v0.5 - every coefficient, every threshold, every weighting is in the repo and you can fork them, tune for endurance athletes or elder ... ... care or clinical populations. Moreover, you run them on your own infrastructure and the same algorithms feed the MCP layer so AI coaching can cite the actual data behind a recommendation instead of approximating. Oura, WHOOP

... Something we kept running into across projects: wearable integration eats months and adds zero product value. Every provider does things differently. Garmin sends XML. Whoop sends JSON but paginates differently than Oura. Apple Health needs on-device processing. Samsung has its own SDK. Different auth flows, different rate limits, different webhook formats. A typical startup spends 2-4 months just getting data flowing from 3-4 providers. Then another month normalizing everything so a Garmin sleep session and a Whoop

... open scoring algorithms, and an AI engine that reasons about health data instead of just summarizing it. We built this at Momentum. After 220+ health tech projects we kept seeing the same thing: every team burns months integrating Garmin, Whoop, Apple Health one by one, then builds their own scoring from scratch. So we packaged the whole thing and open-sourced it. What you get: One API for Garmin, Whoop

... been obsessed with health data for years. I wear both an Apple Watch and a Whoop every single day. I track sleep, HRV, resting heart rate, training load and more. The problem? I'd wake up, see 47 metrics across 3 apps, and still have no idea whether to push hard at the gym or take a rest day. So we built Rox ( talktorox.com ) an AI health companion that connects to your Apple Watch and turns all that raw data ...

... Hello everyone! I m new to the community and wanted to introduce myself. My name is Malcom Broadnax, I m 35, a self-taught engineer, and originally from Milwaukee, WI whoopwhoop! I started my creative journey as a comic book artist. Growing up, it was all about drawing, drawing, and more drawing! I wanted to be like my heroes Jim Davis (Garfield), Charles Schulz (Peanuts), and Bill Watterson (Calvin and Hobbes) and even submitted my own strips to newspapers ...