Hey Product Hunt! 👋 I'm Kenji, Chief Engineer at TubeTranscript. The internet is suffering from severe information bloat. AI builders and founders are burning hours of their lives and massive token costs trying to parse noisy, unstructured YouTube videos. We decided to fix this at the physics level. TubeTranscript is not a "summarizer". It is a Data Reactor. We built an edge middleware that ingests hours of video and outputs pure, zero-hallucination RAG-ready payloads (JSON, Mindmaps, Action Items) in ~4.2 seconds. ⚡ Built for Machines: Seamlessly plug into your AI Agents via our MCP server, Cursor, or n8n. ⚡ Built for Humans: Maximize your cognitive bandwidth. Get the signal, skip the noise. 🎁 PH Exclusive: Use code ORBITAL_PH for 1 month of unlimited API processing on our Pro Tier. I'm here all day. Drop your hardest, most complex YouTube podcast link below and let’s test the speed limits of our reactor together. What specific RAG use cases do you see for your agents? Let's talk architecture! 👇

TubeTranscript

The RAG-ready Data Reactor for YouTube videos.

The RAG-ready Data Reactor for YouTube videos.