| What it does | AI tool to find winning hooks and ideas, analyze what's working, and create high-performing content in your voice
| Datasets for RAG, fine-tuning and training built from public sources
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
| Paid
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| Pricing | Trial: $1 for 7 days (full access, cancel anytime). Base: $33/month billed annually ($399/year, 2,000 credits/month, 1 seat). Creator: $189/month billed annually ($2,268/year, 8,000 credits/month, 3 seats). Power User: Custom pricing. 30-day money-back guarantee.
| 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)
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| Key features | - Analyze high-performing content from multiple formats (YouTube videos, ads, landing pages, transcripts, PDFs, URLs)
- Extract winning hooks, angles, and patterns from analyzed content
- Generate scripts in user's voice for YouTube, Shorts, and other platforms
- Create multiple ad variations and campaign copy
- Build landing pages and sales copy
- Generate VSL outlines and email sequences
- Visual board workspace for organizing research and content
- Separate workspaces for multiple brands and clients
- Save brand voice, audience, and offer details for consistent content generation
- Monthly credit system (2,000 to 16,000 credits depending on plan)
| - 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
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| What makes it different | - Analyzes actual winning content to generate ideas rather than starting from blank prompts
- Generates content that sounds natural and personalized to user's voice and audience
- Single platform consolidates research, analysis, ideation, and content creation
- Built for multiple user types with use-case specific workflows
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 58 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 29 | 5 |
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| Citation Flow (Majestic) | 35 | 28 |
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| Referring domains (Majestic) | 307 | 69 |
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Poppy