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Q2 2026Apr 2026

LLM Consensus

Multi-Model AI Consensus Platform

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