Mobile • iOS/Android • Self-Tracking

IRVO

A personal performance tracking app that helps you understand how your daily habits affect how you feel and function. Log tasks, energy, focus, and stress. Let the data show you the patterns.

IRVO's story

Type

Health App

Platform

iOS & Android

Stack

React Native • Expo • Express • Redis

The Problem

Most people know when they feel off, but they have no idea why. Was it the bad sleep? Skipping lunch? Too many meetings? Existing habit trackers count streaks but don't connect the dots.

The goal with IRVO was different: build an app that captures how you actually feel throughout the day, not just what you did. Planned tasks, real-time energy, focus, stress levels, and optional physical symptoms, all in one place.

The real challenge was making the data useful. Logging is easy. Turning structured self-tracking into patterns you can actually act on is hard.

What We Built

IRVO is a cross-platform mobile app built with React Native and Expo. Users log their planned tasks alongside real-time readings of their energy, focus, and stress. Physical symptoms are optional but available for anyone who wants to track them.

The app builds a behavioral picture unique to each user. Over time, it surfaces meaningful patterns when they repeat, like noticing that your focus always drops on days you skip breakfast, or that your stress peaks on specific types of tasks.

The backend is built on Express with TypeScript, using BullMQ and Redis to handle async processing reliably. Background jobs process data, run pattern analysis, and deliver insights without blocking the app.

Task + Mood Logging

Log planned tasks alongside real-time energy, focus, and stress levels throughout the day.

Pattern Detection

The app identifies meaningful patterns in your data and surfaces them when they repeat.

Physical Symptoms Tracking

Optional symptom logging for users who want to connect physical state with performance.

Async Processing with BullMQ

Background jobs handle data analysis and insight generation without slowing the app down.

Tech Stack

We picked a stack that handles cross-platform mobile well and can process behavioral data reliably in the background.

React Native + Expo

Cross-platform development targeting both iOS and Android from a single codebase. Expo handles builds and updates cleanly.

TypeScript

Type safety across both the mobile app and the backend. Catches issues early and makes the codebase easier to maintain as it grows.

Express.js + TypeScript

Backend API for data sync, authentication, and processing user entries. Clean and fast.

BullMQ + Redis

Async job queue for reliable background processing. Pattern analysis and insight generation run as background jobs without impacting app performance.

The Result

The app runs on both iOS and Android from a single codebase. Users can log daily inputs quickly, and the system builds a behavioral picture in the background without them having to think about it.

When patterns emerge, the app surfaces them. Users go from vague feelings of being off to having concrete, data-backed insights about what actually drives their performance.

The async processing pipeline handles data reliably even as user data grows, and the TypeScript backend makes it easy to add new insight types without reworking the core logic.

Common questions

Answers about self-tracking, performance apps, and the tech behind IRVO.

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