Hacker Papers Turns HN Into Reading List
Hacker Papers transforms Hacker News discussion into a searchable collection of 1,060 papers, linking titles to arXiv and relevant HN threads. DAIR.AI Academy adapts the HackerTube concept for discovering influential technical research.
Hacker Papers is a smart discovery layer for researchers and builders overwhelmed by arXiv’s volume, though its Hacker News-driven ranking inevitably favors internet-popular work over quieter breakthroughs.
- –Combines HN archive data, arXiv, and OpenAlex into one research browser
- –Surfaces social context alongside papers, showing why technical work attracted attention
- –Filters for recency, field, popularity, and discussion depth make exploration practical
- –The 1K-plus collection is broad enough for serendipitous discovery without becoming an undifferentiated paper dump
- –HN popularity remains a useful signal, but not a substitute for peer review or technical quality
DISCOVERED
1h ago
2026-11-02
PUBLISHED
2h ago
2026-11-02
RELEVANCE
AUTHOR
omarsar0