About This Architecture

PurrRank is a real-time data pipeline architecture combining client-side image ingestion, REST API synchronization, and WebSocket-driven UI updates via Supabase. Raw cat images flow into a Storage Bucket, metadata syncs through PostgreSQL, and Realtime Channels broadcast INSERT/UPDATE/DELETE events to refresh leaderboards without polling. This pattern demonstrates a modern three-tier storage model (raw, curated, aggregated) with low-latency event streaming, ideal for collaborative pet-ranking applications. Fork this diagram on Diagrams.so to customize the pipeline for your own real-time data use case, adjust aggregation logic, or swap Supabase for alternative backends. The architecture also showcases client-side audio synthesis via Web Audio API, eliminating unnecessary network calls for UI feedback.

People also ask

How do I build a real-time data pipeline with Supabase that streams leaderboard updates to multiple clients?

PurrRank demonstrates a three-stage pipeline: Ingestion (image upload via REST API to Storage Bucket), Processing (metadata sync to PostgreSQL), and Serving (Realtime Channels broadcast events to Web Browser clients via WebSocket). This eliminates polling and keeps UI in sync with database changes.