Diet apps go blind the moment someone stops logging — exactly when they’re slipping away. Sahha reads sleep, activity, and recovery passively, so you keep personalizing and catch it early.
Macro targets and meal plans get set once at onboarding, then every day looks the same — whether the user slept four hours, trained hard, or is on the road. The plan ignores what they can actually do today, so adherence erodes and it starts to feel like a stranger’s plan.
02
Blind between logs
Your app only knows what the user types in. The moment logging slows — the real leading indicator of churn — you go dark, unable to tell a busy week from a quiet quit. By the time the food log stops, they’re already gone.
03
Willpower-based asks on the hardest days
A high-effort meal-prep plan pushed on a day the user is fried is the mismatch they experience as “this app doesn’t get me.” Without a read on sleep, energy, and stress, you push the wrong thing at the worst moment.
What you build
Workflows you can ship with Sahha in days.
Context-aware meal plans
Score
sleep.state
+
Score
readiness.state
+
Archetype
activity_level
→
Action
Bias quick, energy-stable meals when sleep or readiness is low; surface post-workout fueling and higher protein when activity is high.
Smart grocery & replenishment defaults
Archetype
exercise_frequency
+
Archetype
activity_level
→
Action
Pre-fill baskets — staples for lighter weeks, recovery fuel for heavy training — and push the order to Instacart.
Catch disengagement before logging stops
Insight
trend("wellbeing").state
+
Tag
fatigue:severe
→
Action
When wellbeing trends down or fatigue spikes, switch to minimum-viable nutrition and reactivation — before the food log goes quiet.
Time nudges to real eating routines
Archetype
wake_schedule
+
Archetype
bed_schedule
→
Action
Send breakfast templates to early risers, and caffeine cutoffs plus sleep-supportive dinners to late sleepers.
How it works
One integration. Every health signal you need.
Step 1: Connect a data source. Drop the mobile SDK into your app to read HealthKit or Health Connect — or connect a wearable. No tracker required.
Step 2: Sahha turns raw data into signals. Raw samples become scores, archetypes, biomarkers, and insights — normalized and ready, with up to 30 days of history on connect.
Step 3: Build on the signals. Pull via REST API or receive real-time webhooks, then activate the signals across your product and stack.
Works without wearables
Read sleep, activity, and recovery from just a smartphone — no tracker to buy.
Health intelligence
Scores, archetypes, insights, tags, and biomarkers out of the box.
Day-one history
Up to 30 days of data the moment a user connects.
Real-time webhooks
New signals pushed as data lands — trigger plans and nudges in the moment.
Fits your stack
Route signals into the tools you already use — Instacart, Klaviyo, Customer.io, Braze, and more.
Privacy & compliance
HIPAA, GDPR, and SOC 2 compliant.
FAQ
Common questions.
Do users need a wearable?
No. Sahha reads data from the phone via Apple HealthKit and Google Health Connect, so you get sleep, activity, and readiness signals even for users who have never owned a tracker. A wearable adds precision when one is connected, but it is never required.
Can Sahha tell me what my users ate?
Sahha surfaces dietary biomarkers that HealthKit and Health Connect already aggregate — energy, water, caffeine, and more — alongside the context around eating: sleep, activity, and recovery. It does not replace your food log; it makes the data around it actionable, so your plan can adapt even on days the user does not log.
What can I actually use without building models?
Five scores (activity, sleep, readiness, wellbeing, and mental wellbeing), behavioral archetypes, biomarkers across sleep, activity, and nutrition, and trend insights — all from the same integration, with no data science required on your side.
How long does integration take?
Most teams pull live signals within days. You drop the SDK into your iOS or Android app, or call the REST API directly, and receive up to 30 days of history the moment a user connects.
How is user privacy handled?
Data is collected with explicit user consent and built around health-data privacy from the ground up. You control what you request and how it is used, and users can revoke access at any time.
What does it cost to start?
The Sandbox tier is free for 30 days with every product unlocked and up to 25 development users — enough to build and test the workflows on this page before you talk pricing.
See it on your own data.
Spin up the sandbox, add the SDK to your app, and start receiving live sleep, activity, and readiness signals alongside your food log.