researcher @CarnegieMellon | indie maker e/acc
Joined December 2017
- Tweets 87
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8 Photos and videos
I loved the idea behind the Google Fitbit Air: an LLM wrapped around your health data, daily briefs, and a coach you can ask questions.
But there app is really terrible, it's expensive $100 band plus $10/mo, and Google getting a constant stream of your heart rate, sleep, and other private data. Whoop is worse, with a subscription that runs up to $360 a year.
So I bought a $7 generic Chinese smart ring from Temu, reverse engineered its BLE protocol, and built an app around it.
Introducing PulseLoop: no subscription, open-source iOS app. Your health data stays on your phone, paired with an AI coach that reads your real ring data, draws charts, and remembers context. Free, bring your own API keys. Demo and code below.
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Saksham retweeted
REMEMBER WHO YOU ARE
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Saksham retweeted
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In awe of SpaceX and its story - past, present and the future. You can think about it in 10 different ways and continue re-blowing your mind in circles. Huge congrats to the team! 🚀
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This is the new version hand of god!
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Reverse engineered BLE protocol of a $7 generic Chinese smart ring from Temu, and built an app around it.
Now you don't need to shell out money and personal data to Google or Whoop.
x.com/vu3dtu/status/20647970…
I loved the idea behind the Google Fitbit Air: an LLM wrapped around your health data, daily briefs, and a coach you can ask questions.
But there app is really terrible, it's expensive $100 band plus $10/mo, and Google getting a constant stream of your heart rate, sleep, and other private data. Whoop is worse, with a subscription that runs up to $360 a year.
So I bought a $7 generic Chinese smart ring from Temu, reverse engineered its BLE protocol, and built an app around it.
Introducing PulseLoop: no subscription, open-source iOS app. Your health data stays on your phone, paired with an AI coach that reads your real ring data, draws charts, and remembers context. Free, bring your own API keys. Demo and code below.
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Reverse engineered BLE protocol of a $7 generic Chinese smart ring from Temu, and built an iOS app around it.
Now you don't need to pay $360 in subscription to Whoop and give your personal health data to Google.
x.com/vu3dtu/status/20647970…
I loved the idea behind the Google Fitbit Air: an LLM wrapped around your health data, daily briefs, and a coach you can ask questions.
But there app is really terrible, it's expensive $100 band plus $10/mo, and Google getting a constant stream of your heart rate, sleep, and other private data. Whoop is worse, with a subscription that runs up to $360 a year.
So I bought a $7 generic Chinese smart ring from Temu, reverse engineered its BLE protocol, and built an app around it.
Introducing PulseLoop: no subscription, open-source iOS app. Your health data stays on your phone, paired with an AI coach that reads your real ring data, draws charts, and remembers context. Free, bring your own API keys. Demo and code below.
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I loved the idea behind the Google Fitbit Air: an LLM wrapped around your health data, daily briefs, and a coach you can ask questions.
But there app is really terrible, it's expensive $100 band plus $10/mo, and Google getting a constant stream of your heart rate, sleep, and other private data. Whoop is worse, with a subscription that runs up to $360 a year.
So I bought a $7 generic Chinese smart ring from Temu, reverse engineered its BLE protocol, and built an app around it.
Introducing PulseLoop: no subscription, open-source iOS app. Your health data stays on your phone, paired with an AI coach that reads your real ring data, draws charts, and remembers context. Free, bring your own API keys. Demo and code below.
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Writeup: sakshambhutani.xyz/projects/…
Code: github.com/saksham2001/Pulse…
How I reverse-engineered the ring: sakshambhutani.xyz/hacking/2…
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Compared to Apple Health, this feels much more active and conversational.
Apple Health is great as a data store, but this feels like an agent sitting on top of the data, helping me understand it and act on it. Personal health data is messy, temporal, incomplete, and full of context. A good coach needs memory, tools, trend detection, and the ability to ask clarifying questions.
Very early, but this might be one of the best consumer use cases of LLMs I’ve seen.
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“No generation has entered the world with more powerful tools or greater opportunities.”
Jensen Huang to @CarnegieMellon Class of 2026: You’re standing at the starting line of the AI era. This is your moment to shape what comes next.
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Congratulations to our Founder and CEO Jensen Huang on receiving an honorary Doctor of Science and Technology degree from @CarnegieMellon, as well as the CMU Class of 2026 graduates. 🎓
Jensen Huang, Founder and CEO of @NVIDIA, delivered the keynote at Carnegie Mellon’s 2026 Commencement and received an honorary Doctor of Science and Technology degree. His work has helped shape modern computing and the era of #AI. More from Commencement: cmu.edu/news/stories/archive…
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