Products/Data analysis tools, AI Chatbots, Search/SNEWPapers

SNEWPapers

The World's First AI Newspaper Archive

Data analysis tools, AI Chatbots, Search1 peopleFounded 2026Semantic search across 6 million+ newspaper storiesThe Sleuth - personal AI research assistantFull-text OCR extraction (nearly perfect)Smart categorization (24 categories / 1,000+ sub-categories)Collections for sharingToday in History daily feed250 years of American newspapers (1730s–1960s)Separated ads from content

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.

Problem It Solves
Traditional newspaper archives provide faded page scans with terrible search functionality, making historical research difficult and time-consuming.
Target Customer
Digital humanities researchers, historians, genealogists, and anyone researching historical topics
Use Cases
Historical research, Genealogy research, Academic research, Digital humanities projects, Tracing historical references, Understanding historical context
Pricing Details
20% off any plan with code PRODUCTHUNT20 (valid until May 8)
Differentiator
First AI-powered newspaper archive with data not available on Google or in any LLM - 250 years of newspaper data (6 million+ stories) with full-text extraction and semantic search
Traction
User Count: 137 followers · Notable Metrics: Day Rank #10, 122 upvotes, 6 million+ stories extracted, 115,000+ GPU GB-hours (OCR/Layouts), 26,000+ Lambda GB-hours, 44.7 billion LLM/vLLM tokens processed

Key Facts

Category
Data analysis tools, AI Chatbots, Search
Founded
2026
Team Size
1 people
Pricing
Subscription with 7-day free trial, ~50% below traditional archives
Discovered via
product-hunt

The people behind SNEWPapers

B

Brett Shinnebarger

profile

Links

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