Health & Wellness · Est. $8k – $10k
Peaks

Circadian Productivity

Coralsoft designed, built and shipped this product for the client.

MobileReact NativeExpo SDK 54Expo Router
Peaks — product interface
Peaks — product interface
The situation

What was in place before we started.

Peaks transforms sleep data into an energy forecast. It predicts when you peak, dip, and recover — and turns that into a planned day of focus, exercise, and rest.

Peaks transforms sleep data into an energy forecast. It predicts when you peak, dip, and recover — and turns that into a planned day of focus, exercise, and rest.

Estimated Engagement
2 months
Team
6 people
Estimated Budget
$8k – $10k
Used by
Knowledge workers · Entrepreneurs · Athletes · Students
Data sources
Apple Health, iPhone, Apple Watch
Coverage
Sleep, circadian rhythm, energy forecasting
Output
Daily timeline, focus windows, recovery
Estimated stack
React NativeExpo SDK 54Expo RouterTypeScriptNativeWindTanStack QueryReact Hook Form + ZodVercel AI SDKSupabase (Postgres + RLS)Supabase AuthSupabase Edge Functions (Deno)OpenAI GPT-4o
Delivery story

Peaks: turning complex health data into clear daily actions

01

Challenge

Peaks transforms sleep data into an energy forecast. The main delivery challenge was to give users sensitive health information presented calmly, clearly, and without adding cognitive load, while keeping Track, Model, and Forecast consistent across the complete journey. We framed the engagement around the smallest production-worthy flow first, then expanded the scope without weakening the underlying component and data model.

02

How we built it

We began by mapping the user journey and the boundaries of the AI: what context it receives, what it may return, and where deterministic application logic must stay in control. We then built Track, Model, and Forecast as small end-to-end slices, connecting the interface to the data and model layers early so the team could test real responses instead of static mock-ups. Prompt, validation, and fallback behaviour were refined alongside the product UI. The main implementation used React Native, Expo SDK 54, Expo Router, and TypeScript, with typed contracts keeping the JavaScript stack consistent across the product.

03

Delivery

The delivered scope brought Track, Model, Forecast, and Plan into one coherent cross-platform mobile release. Model output, product logic, and user feedback are separated clearly, which makes the AI easier to evaluate and evolve. For Peaks, the practical result is a product that communicates its value quickly while giving the team a maintainable base for continued delivery in health & wellness.

Challenges

Each constraint, and what we did about it.

Constraint

Calendars treat every hour the same

What we did

Schedule aligned to your chronotype

Constraint

Sleep tracked but never acted on

What we did

Sleep data drives tomorrow's plan

Constraint

Energy crashes ignored, pushed through

What we did

Energy windows blocked as time

Constraint

No recovery windows in the day

What we did

Recovery scheduled, not skipped

Constraint

Generic time-management advice

What we did

Continuous personal biological model

Constraint

Nothing predictive — only retrospective

What we did

Tomorrow forecast — today

Productivity comes from working with your rhythm — not against it. Sleep is the input. The plan is the output.

Results

Measured outcomes.

2-month engagement
+64%
Daily plan adherence.
+52%
Active morning sessions.
−41%
Time spent on the wrong task.
+47%
Weekly retention lift.
4.9★
App Store rating
73%
Pro conversion
↑
Daily timeline opens
↑
Sleep model confidence

By transforming passive sleep tracking into an active daily plan, Peaks turned circadian science into practical productivity — and gave busy users a calmer, more aligned day.

Showcase

The screens that carry it.

4 of 4 screens
Peaks — product screenshot
Peaks — product screenshot
Peaks — product screenshot
Peaks — product screenshot
Roadmap

Estimated delivery sequence.

2 months
Weeks 1–2

Discovery & shaping

Discovery, circadian science partnership, target-user research, scoping.

  • Circadian Modeling
Weeks 3–7

Core build

Sleep ingest, forecasting engine, daily timeline UX, premium tier.

  • Forecasting
  • Daily Timeline
Weeks 8–9

Launch & iterate

Apple Watch integration, App Store launch, retention & refinement.

  • Passive Operation

More work like this.

Every case study covers a product Coralsoft designed, built, and shipped for a client.