Personal project - 2025
Mimi Noms
A mobile nutrition tracker for cats, built to make daily feeding routines easier to log, review, and adjust for pet owners tired of juggling notes, labels, and memory.
- React Native
- Expo
- Expo Router
- Zustand
- SQLite
Mimi - today
62% of
daily goal
Role
Solo design & dev
Timeline
2025 - ongoing
Platform
iOS & Android
Status
In daily use
01 - Problem + product loop
Managing a cat's nutrition sounds simple until dry food, wet food, treats, portions, calories, and weight goals end up scattered across notes, labels, and memory.
The goal was never a veterinary tool. Mimi Noms is a routine tracker for organizing what was fed, how many calories it represents, whether the day is staying consistent, and how weight is trending over time.
The app is organized around a simple repeat-use loop: set up a profile, save foods once, log meals quickly, and review the daily summary.
- Profile
- Foods
- Goal
- Log meals
- Summary
- Trends
02 - Core features
Pet Profile
Weight, calorie goal, feeding notes, body condition.
Food Database
Dry, wet, treats, calories, serving size.
Feeding Log
Scheduled and unscheduled meals, timestamped.
Daily Report
Calories, breakdown, remaining budget.
Weight Check-ins
Weight and body condition over time.
Trends & Reusable UI
Calorie and weight trend views, built from shared cards, logs, and form components.
03 - App flow
- Pet profile
- Food database
- Add meal
- Daily summary
- Weight check-in
- Trends
04 - Technical build
Built with React Native and Expo, using Expo Router for navigation, Zustand for lightweight global state, and SQLite/local storage for an offline-first daily logging workflow. I treated it like a real product: 31 screens and flows built from 36 shared components, predictable local state, and a structure that can support sync or multi-pet profiles later.
05 - Data model
Five entities cover the app loop. Foods are saved once and reused across feeding logs, while summaries and check-ins are generated from the same records.
Pet
name, weight, calorieGoal, notes
Food
brand, type, calories, servingSize
Feeding
pet, food, amount, calories, time
WeightCheckin
pet, date, weight, bodyCondition
DailySummary
totalCalories, remainingBudget
06 - Screens
Dashboard overview
Daily goal progress, meals, and quick context.
Feeding plan
Scheduled meals planned against the daily calorie goal.
Add meal flow
Fast logging for dry food, wet food, and treats.
Food library
Reusable foods with serving and calorie details.
Trends/report
Calorie and weight context over time.
07 - Roadmap
current
Profile, food database, feeding log, estimated daily calories, reusable UI.
next
Weight trend charts, feeding reminders, better food search, improved reports.
later
Supabase sync, multi-pet support, barcode entry, export summary.
08 - What I learned
The hard part was not the screens. It was designing a data model and logging flow fast enough to actually use every day.
Built for nutrition tracking and routine planning - not veterinary medical advice.
Jenny Zhao · Mimi Noms · 2025