| What it does | Datasets for RAG, fine-tuning and training built from public sources
| Turn Substack articles into viral social posts
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | Not given
| Not given
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| Pricing model | Paid
| Freemium
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| Pricing | 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)
| Free: 10 credits (one-time). Monthly: $7/mo for 70 credits. Yearly: $65/yr for 600 credits.
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| Key features | - 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
| - TYPE-FORMULA pipeline that extracts insight types (diagnostic, wisdom, contrarian, data-backed, framework, story) and applies viral structures
- Knowledge Bank to store, browse, and reuse extracted insights
- 10+ viral formula structures including parallel repetition, conditional framework, and bridge analogy
- Chrome extension for scheduling posts directly to Substack
- Rich-text editor with HTML and plain text export
- MCP integration for Claude and Cursor
- Automatic article URL processing from published or draft posts
- Priority processing for paid plan users
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| What makes it different | - 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
| - Designed specifically for Substack writers with formulas trained on viral patterns
- Two-stage TYPE-FORMULA process instead of generic AI summarization
- Knowledge Bank compounds over time as more articles are processed
- From URL to scheduled post in minutes with no copy-paste needed
- Credits never expire at your own publishing pace
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 12 ▲ +2 (up) since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 28 | 15 |
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| Referring domains (Majestic) | 69 | 5 |
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Quick Viral Notes