... same thing: "when can I just download it normally?" That day's here. PeakRoutine is now live on the App Store: apps.apple.com/in/app/peakroutine/id6786086158 For anyone new here the problem we kept hitting ourselves: you've got an Apple Watch / Oura / Whoop dumping thousands of data points into Apple Health every day, and no idea what to actually do with any of it. PeakRoutine reads that data and surfaces the one pattern driving how you feel (think "morning sunlight before 10am ...

... want to build a product that relates to our CO2 emissions and offsets. I envisioned the product closer to Whoop or Oura where the product stopped being about the metric and became about identity and belonging. People wear those rings partly to be part of a community, not just to optimize sleep. I want to bring that same energy to climate action make it feel aspirational and social, not preachy. Would love input on: What actually made Whoop/Oura/Strava work ...

... wear an Oura ring and lift 2x a week. Every morning I'd see a readiness score 58, 91, whatever and have no idea what to do with it. Oura

... 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 sends JSON but paginates differently than Oura

... 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, Garmin they're all great devices but their scores are black boxes. Open algorithms mean when someone asks "why," you have a real answer. Comment from Amelia Martin(@amelia_martin7): @kamil_maksymowicz  Thank you for clearing this. :) Comment from ... ... Sure sure no problem , always happy to support :) Comment from Caleb Bennett(@caleb_bennett1): kamil_maksymowicz  Thanks for explaining , some times questions looks simple but make curiosity in mind . Comment from Matia Ristic(@naprich): The problem with Oura

... have no way to verify it either way. And if you're building a health product, this gets worse. Your users come with 6 different devices. Whoop gives a recovery score, Garmin gives a Body Battery, Oura gives a Readiness Score. Three different algorithms, three different scales, no way to compare them. You either pick one device and exclude everyone else, or you build your own normalization layer from scratch. We launched Open Wearables on Product Hunt today ... ... /products/open-wearables Comment from Yousung Chyung(@yousungchyung): This is a massive pain point for anyone building in the health-tech space. Highly appreciate you guys opening up the black box. Dealing with the disparate "editorial choices" and proprietary metrics between Oura

... health, OW turns raw wearable streams into the structured, scored, time-series context an LLM can actually reason over. What it is One open-source layer for building health products on top of wearable data. Unified API across Oura, Garmin, Whoop, Apple Health, Polar, Suunto, Samsung, Strava, and Google Health Connect Standardized schema, so you stop writing per-vendor normalization code Open scoring algorithms you can audit, fork, and tune for your domain Coaching profiles for wellness, clinical, and performance ... ... comments. Comment from Thami Benjelloun(@thamibenjelloun): Been using Whoop for 2 years , can predict my recovery most days now Makes me wonder how personal these models really are, especially for non-standard lifestyles. how do you handle baseline adaptation vs

... 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 ... ... Thami Benjelloun(@thamibenjelloun): Been on Whoop for almost 2 years now, and honestly at this point I can predict my recovery score most mornings before I even check Which probably says something about how personalized these models actually are vs

... 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 ...

... 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, Oura, Apple Health, Strava, Polar, Suunto, Samsung, Google Health Connect, Ultrahuman Health scores that work the same across all devices MCP server so any LLM can plug in and give real health recommendations MIT licensed. Self-hosted. $0 per user. docker ...

... under 5 minutes and a massive free library. The Daily Check-In feature also subtly nudged me into a habit without guilt. Breathwrk feels less meditative, more physiological great if you're feeling anxious or need a quick reset vs. deep mindfulness. Surprisingly, I got into meditation after pairing Insight Timer with a wearable (Oura

... more than I listed below, feel free to share. (I often listen to podcasts and so far I have my list of options on the market and have also seen some of them on the PH): Mito Health Muse Oura Withings WHOOP Comment from Nika(@busmark_w_nika): @prahemant001  I think that including not only friends but also "competing with strangers" or competing team vs