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Every week, 4,600+ AI papers are published. AI Research Newsletter uses a 7-stage pipeline to score each on 4 innovation dimensions and deliver the 15 that matter most — every Sunday.
**Key features**:
Multi-source discovery (5 sources, deduplicated)
Innovation scoring (novelty, impact, breadth, technical surprise)
Hidden gems (high innovation + low citations)
Practical use cases per paper
Trend detection vs. historical baselines
Full-text analysis, not just abstracts
PaperMineThe AI papers that matter — scored, summarized, delivered
Ramit Sharmaleft a comment
Hey Product Hunt! 👋 I built this because I was spending 3–4 hours every week scanning arXiv and Twitter for important AI papers — and still missing things. The core idea: instead of manually curating or using keyword filters, run every paper through an LLM-powered analysis pipeline that scores innovation across 4 dimensions. Then surface the top papers AND the "hidden gems" — papers that score...
PaperMineThe AI papers that matter — scored, summarized, delivered