Build personalized health products with one API for every wearable. Access wearable data, open health scoring algorithms, and structured context your AI can reason with. Self-hosted, open-source, MIT licensed.
Forum Threads
How much can a wearable actually tell you about your sleep? webinar
Hi makers,
Most wearables are good at telling when you're asleep. They're much worse at telling when you're awake: if you lie still, many devices count it as sleep. Sleep stages land somewhere in between. And Apple, Oura, Garmin, Whoop and Fitbit all build their scores differently, so the same night can get very different numbers.
Anna D. Zych, PhD, a neuroscientist and Health Science Lead at Momentum, goes through all of this in a webinar that premieres Wednesday, 7 October at 16:00 CET. It covers what good sleep actually looks like, how wearables compare to a sleep lab across ten devices, and how to approach building sleep scoring models.
If you're building anything with sleep or recovery data, it should be a useful hour. Everyone who signs up gets the recording too.
The Wearables Integration Playbook 2.0 is out
Quick update for anyone who followed the Open Wearables launch.
We just published the second edition of our Wearables Integration Playbook. It's the written version of what we learned building the platform and seeing it run in production.
Why does your recovery score say 58% today?
I 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.
@istiakahmad Thanks Istiak, appreciate it. The healthtech space especially needs more open infra: too much critical patient data sitting behind closed APIs and per-user fees.
@istiakahmad Yeah, open source with the great care for software quality is what we really need in the age of AI.
Saw this shared in a Slack community I'm in and had to come check it out. The combination of open algorithms and self-hosted is a pretty specific bet on where health data is going.
Do they have an explainer video already or not?
@piotreksedzik
so cool! MCP is a huge unlock for the millions of people also using chatgpt/claude
@kohnigel Thanks Nigel! That's the bet, the moment "ask Claude about my sleep last week" becomes one click instead of a CSV export, the whole consumer health workflow shifts. MCP is the entry point, but the real unlock is agentic: long-running assistants that watch your trends, flag anomalies, and reason across weeks of data without you prompting. Still early days, but the direction feels right.
@piotr_ratkowski makes sense - great example: personalized recipes drafted based on blood glucose levels
@kohnigel Indeed, but rememember - at the moment our MCP is still not 100% production ready.
What a geat product! I am using multiple different health techs myslef (garmin, Oura, apple) and was missing solution like that. Been following news from Open Wearables on Linkedin for some time and I'm happy to see this launch!
@zuzanna_gutkowska Thanks for following along! 😊 If you like this you may also like The Science Behind Wearabes where we dive much deeper into that: https://thesciencebehindwearables.substack.com/
@zuzanna_gutkowska Do you have your favourite Open Wearables linkdin posts series? Just curious which ones reached you ;)
Nice work! The developer-first approach really shows in how you’re describing the product.
@syed_shayanur_rahman Thanks. Developer-first was a deliberate call: if the foundation isn't solid and transparent, everything built on top is fragile.
@syed_shayanur_rahman That's an honor to hear that, thanks!
My partner uses Whoop and I use Apple Watch and we've argued more than once about whose recovery score methodology makes more sense 🤔🧐 genuinely excited something like this exists now 😃