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Restyled 2.0
Updated Oct 2024Next.js

Restyled 2.0 - AI and Auth Learning Project

Wardrobe management app exploring AI integration and multi-tenant architecture

Practice project combining Supabase Auth, AI integration, and payment processing. Focus on security patterns and multi-tenant architecture.

Build Key Features

  1. 01

    Auth System

    Supabase authentication with social logins and MFA. Focused on security patterns and session management.

    Auth System
  2. 02

    Multi-tenant System

    Organization management using Supabase RLS policies. Implemented role-based access and data isolation.

  3. 03

    Subscription Handling

    Basic payment processing with Lemon Squeezy. Includes webhook handling and usage tracking.

  4. 04

    AI Integration

    Simple outfit visualization using Stable Diffusion. Implemented request queuing and basic caching.

Friction Challenges

  1. 1

    Multi-tenant Data

    Building efficient data isolation while maintaining good query performance. Implemented row-level security.

  2. 2

    Payment Processing

    Managing subscription states and usage limits across organizations. Added webhook validation.

  3. 3

    AI Performance

    Balancing image quality with generation speed. Working on better request batching.

Takeaways Learnings

Auth Patterns

  • Multi-tenant authentication patterns and security practices
  • Session management and access control implementation

Database Design

  • Efficient data modeling for multi-tenant applications
  • Row-level security and query optimization

API Integration

  • Payment provider integration and webhook handling
  • AI service queuing and response caching