SNEWPapers
The World's First AI Newspaper Archive
Our Take
This is genuinely the first time anyone has made 250 years of American newspapers actually usable for research, and the full-text extraction across 6 million+ stories is the kind of infrastructure that should have existed decades ago — the OCR quality is nearly perfect, the semantic search actually works, and The Sleuth AI assistant saves you from manually sifting through microfilm-quality page scans. At ~50% below traditional archives with a 20% Product Hunt discount, this is a no-brainer for genealogists and digital humanities researchers who've been suffering through terrible search interfaces. That a team of one built 115,000+ GPU hours worth of extraction infrastructure is either impressive or concerning, but either way, the data itself — can't be found in Google or any LLM because it literally doesn't exist in this form anywhere else. This is a sleeper hit.
AI-powered historical newspaper archive that reads and organizes 6 million+ stories from 250 years of American newspapers (1730s–1960s), with semantic search, AI research assistant (The Sleuth), full-text OCR extractions, smart categorization, and collections for sharing.
Key Facts
The people behind SNEWPapers
Brett Shinnebarger
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