A modular wellness and lifestyle tracking app built with React Native and Supabase.

Atma helps people log daily inputs and track wellbeing patterns over time. It's a multi-screen mobile app that combines check-ins, journaling, and data organization into something simple and intuitive.

I designed and built the whole thing using React Native, Expo, and Supabase. It's currently live in private TestFlight with more than twenty functional screens.

I built Atma because most tracking tools feel either overwhelming or incomplete.

Nothing struck the right balance between structure and intuition. I wanted something flexible enough to adapt to different lifestyles, but simple and calm enough to actually stick with.

Atma became my way of exploring what “useful” looks like in a health app:

clean state management, smooth navigation, thoughtful data modeling, and a human-centered UI that feels grounding instead of noisy. The architecture is intentionally modular so it can grow, evolve, and support more complex patterns over time.

I handled the entire build:

React Native development

Supabase auth + database design

App architecture + data modeling

Multi-screen navigation flows

UX strategy + UI design

Iteration based on real user testing

EAS builds + TestFlight distribution

Version control and project management

This is my first full production-level mobile app taken from concept to TestFlight entirely on my own.

Atma is built with TypeScript and React Native, using:

React 19

Expo SDK 54

React Navigation (Stack + Tabs)

Supabase (auth, database, real-time features)

date-fns, react-native-calendars, expo-linear-gradient, expo-media-library, expo-print, expo-sharing

EAS Build + EAS Submit (App Store Connect / TestFlight)

Expo let me iterate fast, while Supabase handled backend logic and data infrastructure.

Atma is built around a simple idea: tracking is only useful if it leads to understanding.

The app focuses on helping users see subtle connections between their daily inputs and how they actually feel.

The system is structured around:

flexible, user-defined data

clear patterns and correlations

lightweight interpretation

insights that feel supportive, not overwhelming

The goal is to turn raw data into gentle clarity, without turning the app into another dashboard or medical tool.

Atma is in active development and private testing. I'm continuing to refine the UX and expand features based on beta users feedback.

I'm open to technical critiques, collaboration opportunities, or discussing how I can build something similar for your team!