Show HN: Large Scale Article Extract of Newspapers 1730s-1960s
The article introduces SNEWPapers, an AI-powered platform that has extracted and organized over 6 million historical newspaper articles from the 1730s to the 1960s. It offers advanced search capabilities by meaning, thematic filtering, and AI-assisted research tools for exploring American history. The archive includes content not indexed by major search engines or AI models like Google or ChatGPT.
- ▪SNEWPapers contains over 6 million stories extracted from 250 years of American newspapers.
- ▪The platform uses AI to enable semantic search, allowing users to find articles by concepts, themes, and events.
- ▪It includes articles from more than 3,000 newspaper titles across 24 main categories and over 1,000 sub-categories.
- ▪Users can explore 'Today in History' timelines and build or access curated research collections.
- ▪The archive is not indexed by Google or accessible through ChatGPT.
Opening excerpt (first ~120 words) tap to expand
1730s – 1960s • American History The World’s FirstAI Newspaper Archive & Research Platform …and the only one that has read the papers. 6 million stories — and growing daily — are waiting for you to explore. Extracted and organized by our AI from 250 years of American History. You won’t find these on Google. They aren’t on ChatGPT. They’re only here on… Start Your Free Trial Today The SNEWPapers Difference 6M+ Stories 250 Years of History 3,000+ Newspaper Titles 24 / 1,000+ Categories & Sub-Categories See how it works See all tutorials → Research the way it should work 🔍 AI-Powered Search Search by meaning, not just keywords. Find articles about concepts, events, and themes — even when the exact words don’t appear.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News: Front Page.
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