Building a Smart Meal Planning App with Supabase and Lovable

Introduction
Hey there! 👋 I’ve been working on something exciting—a meal-planning app! I built it using two awesome tools: Supabase and Lovable. I wanted to share my experience bringing these together to create a full-stack app that helps people plan meals around their nutritional goals. Let’s dive in!
What I built
I built Avocado - a smart meal planning app that:
Generates personalized meal plans based on users' macronutrient needs
Stores favorite meals
Tracks progress with photos and weight
Provides a clean, user-friendly interface
Why Supabase and Lovable?
Supabase
Authentication out of the box
Real-time database
File storage for progress photos
Edge Functions for AI integration
Lovable
AI-powered development environment
Real-time preview of changes
Built on modern stack (React, Typescript, Tailwind, Shadcn/UI)
Incredibly fast prototyping
The Development Journey
1. Setting Up the Foundation
Started with user authentication using Supabase Auth, implementing both email/password and Google sign-in. The integration was smooth thanks to Lovable's native Supabase support.
2. Core Features Implementation
User Profiles
Created a profiles table in Supabase
Stored user preferences and physical stats
Implemented automatic profile creation on signup
Meal Plan Generation
Used Claude AI through Supabase Edge Functions to generate meal plans
Stored meal plans in the database
Implemented real-time updates
Progress Tracking
Photo upload with Supabase Storage
Weight tracking with charts
Progress visualization
3. Real-time Features
One of the coolest aspects was implementing real-time updates using Supabase's subscription feature. When users save a meal plan or upload a progress photo, it updates instantly.
Technical Highlights
Supabase RLS policies for data security
Edge Functions for AI meal generation
Real-time subscriptions for live updates
File storage for progress photos
Challenges and Solutions
Authentication Flow: Initially had issues with redirect URLs, solved by proper Supabase configuration
AI Integration: Implemented rate limiting and error handling for the meal generation
Real-time Updates: Managed state efficiently using React Query
Developer Experience
The combination of Supabase and Lovable was incredibly powerful:
Lovable's AI assistance accelerated development
Supabase's dashboard made database management a breeze
Real-time preview helped catch issues early
Conclusion
Building with Supabase and Lovable was such a great experience! Lovable, especially with its seamless Supabase integration, is an absolute game-changer. The mix of AI-powered development and Supabase's reliable backend made it so easy to create a full-featured app quickly and efficiently.
The web application is already deployed, feel free to test it here
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