"Super" excited - pun intended - to launch @supernormal_bio on @ProductHunt tomorrow. Another personal hack I'm using daily. Live recovery budget for your Apple Watch that depletes as you push, earns back when you rest, and adjusts to your biology not population averages.
Have an Apple Watch. Was about to buy a dedicated recovery wearable. Didn't want to wear 2 devices or drop $200/year.
Looked into it more. The gap is mostly software.
So I built the software. Used Claude to help implement the recovery algorithms.
App Store review pending.
Also, whatever I built had to be 100% on device. No account. No servers. No personal health data leaving your phone. The Apple Watch and iPhone do all the computation locally. Always.
Have an Apple Watch. Was about to buy a dedicated recovery wearable. Didn't want to wear 2 devices or drop $200/year.
Looked into it more. The gap is mostly software.
So I built the software. Used Claude to help implement the recovery algorithms.
App Store review pending.
(cont'd) [...] Illness detection via multi-signal divergence. Respiratory rate trending. Resting heart rate baselines.
Everything is calibrated to you specifically - age, biological sex, VO2 max, body composition. The same signals dedicated wearables already use!
@KrishivThakuria Related, I’ve been exploring how content could adapt to attention levels in real time (based on signals from the brain). It’s part of a broader interest in building better interfaces to information. Sharing one recent build in case it’s useful context: https://t.co/6V67HuBPiz
@KrishivThakuria Super helpful. Appreciate the push. I’m still validating the daily habit + willingness to pay. My hypothesis is that I shouldn’t compete on engagement, but on clarity and time saved. The open question is whether that’s strong enough to drive daily pull vs push distribution.
@KrishivThakuria Thanks, Krishiv. Right now it’s driven by what you subscribe to… that shapes your feed immediately. I’m starting with explicit preferences, and layering in implicit signals (what you read, tap, save) to refine it over time.
@KrishivThakuria Still early… a few hundred users, all organic so far. Right now focused on sharpening the signal layer and increasing daily habit. Next is expanding beyond news into other high-volume information streams.
@KrishivThakuria It’s live and reading thousands of articles daily. The surprising part hasn’t been summarization… it’s building the system that decides what’s actually signal vs repetition across sources.
I connected my brain signals (EEG headset) to a browser and used live attention data to simplify content when I drift and highlight it when I’m focused.
Been thinking a lot about AI vs UI lately. What if interfaces adapted to what’s happening in your head
https://t.co/E6rH9Jpmrr
Bought an EEG headset and used Codex to stream it on my Mac without the official app by building our own bridge, then exposed it as a real-time web API for live focus/calm values in any app. Vibe coding a "neuro-dynamic" web browser this weekend for Public Proofs