Yesterday's tech writing, scored blind by four AI reviewers
Emerged finds new products worth a look, daily — what’s new today
Search what strangers actually recommended, with the quote and the link
Before you commit to a database or a backpack, this shows you the sentence someone wrote about it and where they wrote it, rather than a score with nothing behind it.
A ranking site built from recommendation threads on Reddit and Hacker News: 13,576,547 verbatim excerpts covering 47,699 products, places and tools across 301 categories, each quoted with a link back to the comment. Mentions resolve to one entity, weighted by an author-trust model that discounts copy-paste campaigns and self-promotion, decayed by age, then combined per category so a handful cannot outrank many. It reports 4,158 campaigns caught and 99 percent of excerpts verified against source. Free to browse, no account, and no named operator.
Yesterday's tech writing, scored blind by four AI reviewers
EU-hosted Google review collection, reply inbox and website widget
Open-source tracker for how AI models describe and recommend your brand
Self-hosted tracking of how AI models describe your product
Every title two or more HN readers have brought up since 2007
A Hacker News reader that can filter out AI stories with a trained classifier