Distill Hundreds of Hours of Videos
Into One Knowledge

Hivemind YT is an AI-powered video intelligence platform for creators. You upload your own videos or audio and it builds a searchable Knowledge Base from all the content. You can then ask questions in natural language and get instant, citation-backed answers with clickable timestamps that link directly to the source video.

Hivemind YT synthesizes information across hundreds or thousands of videos simultaneously. Instead of watching 500 hours of content, you can ask a single question and get an answer that draws from every video, with citations pointing to the exact moments. It also detects patterns, content gaps, and audience demand that are invisible when watching videos individually.

Hivemind YT processes video transcripts, titles, descriptions, tags, comments, and metadata. The Trend Alerts feature also monitors Google Trends, trending video topics, and X.com for real-time topic signals relevant to your niche.

Yes. Competitor Analysis examines public videos using your own Gemini key, and Hivemind YT stores only the derived insights - hooks, structure, pacing, and title and thumbnail patterns - never transcripts or copies of another channel's content. Knowledge Bases are still built from your own media, Pulse Analytics tracks competitor channels using public metrics, and Trend Alerts surfaces what is rising in your space.

Native channel analytics show you basic metrics like views, watch time, and demographics. Hivemind YT's Intelligence Dashboard goes deeper. It cross-references video performance with Knowledge Base query patterns to reveal what your audience is actually asking about, identifies Content DNA patterns that correlate with your best-performing videos, and detects topic synergies across your entire content library.

A Knowledge Base is an AI-indexed collection of video content. When you create one, Hivemind YT extracts and processes all the transcripts, splits them into semantic chunks, generates vector embeddings with Google's Gemini embedding model, and indexes everything for instant semantic search. You can then have natural language conversations with this data as if it were a knowledgeable expert.

Hivemind YT uses Retrieval-Augmented Generation (RAG), meaning every answer is grounded in your actual video content, not hallucinated. Each response includes citations with exact timestamps so you can verify any claim by clicking through to the source video. The system only answers from what is in your Knowledge Base.

Community Brain lets you deploy any Knowledge Base as a public, white-label AI search engine. Your fans can visit a branded page, ask questions about your content, and get instant AI-powered answers with video citations. Deploying a Community Brain is included on Pro and above; selling paid access at your own price is a Business feature.

Point Create Clips at one of your own videos and AI watches the footage to find the moments worth cutting. Each candidate gets a ClipScore with a visible breakdown, snaps to real scene boundaries rather than arbitrary cuts, and reframes to 9:16 for shorts. You can render in your browser at no cost, or in HD on our servers. Clips only ever renders from footage you supply, either a file from your Media Vault or one you upload, so nothing is ever downloaded from the platform.

Sponsor Insights uses AI to scan your video transcripts and identify monetization opportunities you may be missing. It scores product-market fit for potential brand deals, surfaces missed sponsorship moments with exact timestamp links, and generates revenue-optimized video ideas. Available on Basic and above.

Hivemind YT runs on Google's Gemini 3 family. Gemini 3.1 Pro handles deep analysis and chat, Gemini 3.6 Flash handles transcription and other fast high-volume work, and Gemini 3.5 Flash Lite drives the entity extraction swarm, with Google's Gemini embedding model powering vector search. You bring your own AI key, and for text generation you can alternatively use your own OpenAI (GPT), Anthropic (Claude), or xAI (Grok) key. Retrieval-Augmented Generation (RAG) grounds every answer in your actual video content.