What I learned building PeakRoutine (AI health routines from wearable data)

Hi everyone 👋

Over the last few months, I’ve been building PeakRoutine, a product that tries to solve a problem I personally faced while using wearables.

I realized something interesting:

Modern wearables track a huge amount of health data — sleep, HRV, activity, recovery, stress — but most apps still leave users asking:

“What should I actually do with this data?”

You get dashboards, graphs, and scores…
but very little actionable guidance.

So we started building PeakRoutine to explore a different idea:

Instead of just tracking metrics, what if we could connect multiple health signals together and generate personalized routines that actually improve habits?

PeakRoutine currently analyzes 14+ health signals from wearable devices and looks for patterns across things like:

• sleep
• HRV
• movement
• stress
• sunlight exposure
• lifestyle signals

Then it generates simple daily routines based on those patterns.

For example:

Instead of saying “your sleep score is low”, it might suggest a routine like:

→ get morning sunlight
→ move earlier in the day
→ adjust evening wind-down timing

We’re preparing for our Product Hunt launch next month, and I’d love to get feedback from this community before we launch.

Two questions I'm especially curious about:

1️⃣ Do you currently use a wearable device?
2️⃣ Do you feel wearable data actually helps you improve your habits?

Would love to hear your thoughts or suggestions.

Thanks for reading!

— Sakshi
Maker of PeakRoutine