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Q2 2026Apr 2026
LLM Consensus
Multi-Model AI Consensus Platform

Overview
LLM Consensus runs a 3-stage pipeline: up to 5 LLMs answer a query in parallel, anonymously rank peer responses, and synthesize a single final response. It streams stage-wise results in real time over Server-Sent Events, includes Supabase auth with conversation history and CRUD, Redis rate limiting, markdown/code/diagram rendering, voice input, and temporary chat sessions.
Highlights
- Real-time, stage-wise response streaming via Server-Sent Events
- Supabase authentication with conversation history and CRUD
- Redis rate limiting, markdown/code/diagram rendering, and voice input
Tech stack
- Next.js
- FastAPI
- TypeScript
- Supabase
- Drizzle ORM
- Redis