See how your days shape your body.
Wearables show the signal. Daymesh shows the story.
Daymesh links your wearable data to the hidden context in your camera roll — meals, places, screens, people, and routines — to reveal what’s really moving your sleep, recovery, energy, and focus.
Private by default · Local-first by design · Not medical advice
🔒 Running on-device · 0 photos uploaded · illustrative data
Your wearable shows what happened. Not why.
Your camera roll is the missing context layer for your health. You already carry two records of every day — biometrics in your wearable, and the life behind them in your photos. They’ve never been in the same place.
Recovery drops — and you’re guessing why
A red morning with no explanation. The cause is usually in yesterday, just out of view.
Your real context is scattered
Meals, screens, places, and routines sit in thousands of photos no health app ever reads.
Numbers without a story
Scores alone can’t tell you what to change. The context is the missing half.
Four quiet steps. All on your device.
- 01
Connect biometrics
Link your wearable — sleep, recovery, HRV, resting heart rate, strain, and energy flow in automatically.
- 02
Read your context
Daymesh derives context from your photos on-device — a late meal, time outdoors, a packed day — never the images themselves.
- 03
Find patterns
It lines up your days against your nights and surfaces the correlations that keep repeating.
- 04
Gentle experiments
Each pattern becomes one small, optional thing to try tomorrow. No plan to follow, no pressure.
A week, connected.
Illustrative data for one person. Tap any day to see the body and the life behind it — or press play and watch the week unfold. Then filter the context and watch a pattern surface.
On days with a late-caffeine screenshot and a food photo after 9 PM, your sleep score averaged 18% lower.
Seen across 3 of 7 days this week (Tue, Wed, Sat). A correlation worth noticing — not a diagnosis.
Tap any day to see the body and the life behind it.
Wednesday, Jun 10
Run-downCamera-roll moments
4 today- 00:48Late-night scrolling40+ min · 1:00–1:40am shaped today
- 08:05Calendar: 6 back-to-backdense day ahead
- 14:30Cold brew #3caffeine after 2pm shaped today
- 23:20Figma at the deskwork past 11pm
What Daymesh noticed
Your lowest recovery of the week followed a 1am scroll, a packed calendar, and late caffeine. The day didn’t cause this — the night before did.
Built from 2 highlighted moments.A correlation, not a diagnosis.
A gentle experiment
Set a soft 11pm cutoff for screens tonight. Even one night can move the needle.
Optional · for tomorrowPrivate by default. Local-first by design.
A product that reads your camera roll has to earn trust at the architecture level — not with a promise.
Local-first by default
Analysis runs on your device. Nothing is uploaded unless you explicitly turn it on.
Photos are context, not content
Daymesh keeps the signal — “late meal,” “outdoor light” — and never needs to keep the photo.
No diagnosis. No shame. Just patterns.
It points at correlations, calmly. The interpreting, and the deciding, stay with you.
You control what’s analyzed
Turn any source on or off, exclude anything, and delete everything in a single tap.
- Wearable data
- Camera-roll context
- Places & routines
Nothing leaves your device unless you turn it on.
For people who want the why.
Optimizers
Close the loop between daily choices and morning numbers.
Athletes
See what truly drives recovery between hard sessions.
Founders & builders
Catch the late nights and stress patterns before they catch you.
Better sleep
Find the small evening habits quietly costing you rest.
Nutrition experiments
Connect meals and timing to energy and HRV — without a food log.
Attention & stress
Notice how screens, places, and people shape your focus.
Turn your life into gentle experiments.
Daymesh is opening early access slowly and deliberately. Be among the first to see your own week, connected.
Join the Daymesh waitlist.
For people who want to understand the relationship between their life and their body.
Give us your honest feedback.
Daymesh is early, and it's shaped by the people who use it. Tell us what's working, what's missing, and what we should build next — it goes straight to the team.