Summarize any YouTube video or X post in 10 seconds
Datasets for RAG, fine-tuning and training built from public sources
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Free
Paid
Pricing
Not given
Web Corpus: starter sets from $49 (250,000-500,000 documents); shelf corpora from $99-$199 per shelf (one-time license); Everything (full crawl) $3,000 one-time; Whole Library (all builds for one year) $5,000 per year. Reference Collections: Encyclopedia $1,200 commercial or $349 research (one-time)
Key features
Summarize YouTube videos and X posts
Key points with timestamps
Ask follow-up questions
AI-generated summaries from real transcripts
Chrome extension
Save summaries to account
Follow favorite YouTube channels
Get summaries by email
Web corpus with 100.7M documents and 105B tokens from Common Crawl
Documents scored with Bear Rank and shelved by subject
15 million encyclopedia entries with sources and model attribution
200 million synthetic Q&A records with metadata
Delivered as JSONL and Parquet formats
Free samples available on Hugging Face
Command-line client with resumable downloads and SHA-256 verification
Statistics collection with 7,000 topics and 140,000 figures
Glossaries for 10,000 topics with one million definitions
Book Q&A dataset with 8,000 titles for reading comprehension
What makes it different
Saves time with ten-second summaries instead of watching full videos
Free with no account required
Handles both video and social media content
Interactive chat to ask follow-up questions about content
All datasets built only from public sources with full provenance tracking
Every record includes source attribution and licensing information
Eight curated subject shelves for targeted corpus selection
Flexible purchasing: buy individual shelves, slices, or entire library
Over 4 TB of clean, deduplicated text ready for machine learning
Signal Extractor