Radar / AI infrastructure / Lune
Lune: the search engine built for scientific AI agents
Lune is a search-and-grounding layer for scientific AI agents that indexes years of top-tier conference papers in full text (down to equations and appendices) and ships as a ChatGPT/Claude connector plus an MCP integration for 40+ AI apps, so agents retrieve and read papers themselves before answering.
Why it matters
Full-text, citation-checked retrieval over real conference papers as an MCP primitive — a practical fix for the slop and hallucinated citations that plague research agents.
What you could build with it
A research team or startup building literature-review agents could plug Lune's MCP grounding into their workflow so every generated claim — gap analyses, experiment plans, citations — is checked against full-text conference papers before anyone publishes it.
Does it hold up?
Too early to judge — launched today with maker claims of 1,000+ researchers relying on it daily; no independent reviews or hands-on evaluations exist yet.
Learn more
First spotted on producthunt: source.
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