"What if I drink tonight?"
β Recovery: 52% (β19%)
β HRV: 48ms (β14ms)
"What if I sleep early instead?"
β Recovery: 74% (β3%)
β HRV: 65ms (β3ms)
Not generic advice. YOUR numbers from cross-source tracking.
Try it β https://t.co/XR24lAxW7D
#biohacking#quantifiedself
Building an AI health coach in public π οΈ
Stack: Next.js, Supabase EU, GPT-5.2, Whoop + Withings APIs, Vercel Frankfurt
30 days in: 12 personal patterns found, ~70% recovery prediction accuracy.
GDPR by design. Health data stays in the EU πͺπΊ
#healthtech#whoop#buildinpublic
What's the most surprising correlation you've found in your health data?
Ours: Social time β +8% recovery on average.
Your body tracks everything. Most people just aren't connecting the dots π§¬
#biohacking#quantifiedself#healthtech#whoop#buildinpublic
We tracked Whoop + nutrition + supplements + mood for 30 days and let AI find the patterns.
β Alcohol crushes HRV by 15%
β Sleep predicts recovery more than training
β Strain sweet spot: 10-14
The wildest part? You can simulate tomorrow.
https://t.co/XR24lAxW7D
#biohacking
Unpopular opinion: Your wearable only shows 30% of the picture.
It tells you recovery is low. But not WHY.
Was it the coffee? The 2 beers? The skipped meditation?
That's why we built a layer that connects ALL data sources.