Build a Fitness App with AI — React Native + Expo, 3 Weekends to App Store

Build a native fitness app with AI help. Real stack: React Native + Expo + Supabase + HealthKit. 3 weekends start-to-App-Store. Written by someone who shipped 4 apps in a month.

Build/Build a Fitness App with AI — React Native + Expo, 3 Weekends to App Store
fitness~3 weekends

Build a Fitness App with AI — React Native + Expo, 3 Weekends to App Store

Ship a native fitness app with AI help. Real stack, real 3-weekend build time, shipped example from someone who put 4 apps on the App Store in a month.

Stack highlights

React Native + ExpoSupabase RLSHealthKitPush notificationsStreak logic

Why fitness is a good first AI app

Fitness apps are the easiest category to ship with AI help. The user flow is simple. Sign in, log a workout, see progress, keep a streak. Everything else is polish.

The category also forgives MVP quality. Your competitors on the App Store are not all polished. If yours logs workouts, shows streaks, and pushes a notification when the streak is about to break, you are already ahead of half of them.

I shipped one myself. Took around 3 weekends with the same system I sell here.

What you actually need to build

A fitness app is four moving parts.

  • Auth: Apple Sign In (required by App Store review) plus a Supabase email fallback.
  • Data: Workout entries, exercise library, user streaks. A single workouts table with a JSON body carries you a long way at this stage.
  • Health data: iOS HealthKit read access for steps and heart rate. Android Health Connect on the other side.
  • Retention loop: Push notifications when a streak is about to break. This single feature carries most of your D7 retention.

No social feed. No chat. Not in v1.

The stack I use

  • React Native + Expo — native iOS and Android from one codebase.
  • Supabase — auth, Postgres, row-level security, storage.
  • NestJS — REST API in front of Supabase so the mobile app never holds service keys.
  • EAS Build — binary builds and OTA updates.
  • Claude Code + 11 AI agents — automates the repetitive parts: scaffolding screens, wiring the Supabase schema, generating App Store metadata.

All of this comes pre-wired in Shippen. Auth, Supabase schema, push, EAS config. The AI agents scaffold the rest.

Real build time

I logged my hours on my own fitness app.

  • Weekend 1: Auth, workout logging screen, Supabase schema. About 14 hours.
  • Weekend 2: HealthKit read, streaks, push notifications. About 12 hours.
  • Weekend 3: App Store screenshots, metadata, review fixes, submission. About 9 hours.

Total: ~35 hours across 3 weekends, not counting one review rejection I had to fix. That includes design decisions and AI prompting time, not just typing.

If you reuse the boilerplate, realistically expect ~20 hours instead of 35. Most of my time went into setup I already had.

Where people get stuck

  • Apple review for HealthKit: Apple rejects fitness apps that use HealthKit without a clear reason string in Info.plist. Keep it honest and specific.
  • Streak timezone bugs: Streaks must be timezone-aware or you lose streak counts when users travel. Store streak dates in the user local day, not UTC.
  • Push permissions at the wrong time: Do not ask for push on first launch. Ask after the first workout is logged. Opt-in rate roughly doubles.

I learned all three the hard way. You do not have to.

Skip the setup

The whole stack above is pre-configured in Shippen. Auth, Supabase schema, push notifications, HealthKit scaffolds, EAS Build config, App Store submission automation.

See pricing

Skip the setup. Start shipping.

Every piece of the stack above is pre-configured in Shippen. 11 AI agents scaffold the rest.

ShippenBuildBuild a Fitness App with AI — React Native + Expo, 3 Weekends to App Store