Lune is Exa.ai for scientific research. It connects AI agents to research knowledge and tools built for scientific workflows, and provides high-quality knowledge grounding based on papers from top-tier academic conferences. 10x the efficiency and trustworthiness of literature review, experimental design, writing and peer review. From early ideas to publication, it helps researchers and technical teams move faster with traceable sources, deeper grounding, and rigorous, evidence-backed decisions.
We built Lune, a ChatGPT/Claude connector plugin for slop-free AI research. Ask your agent a research question, and its answer always comes back with evidence from top-tier papers behind it, and not noise from the open web.
Lune indexes years of top-tier conference papers in full text, down to the equations and appendices. Through our grounding service, your AI can learn to RAG search and read papers on its own, automatically and precisely, before it answers. So the literature backs you at every step:
1️⃣ Find the gap. It pins down the SOTA work on your topic, reads the details and tells you what is still open. 2️⃣ Brainstorm. Your AI becomes a Reviewer 2 who has read the frontier. It tells you who got there first and where the real gap is. 3️⃣ Design experiments. Which benchmarks matter, which baselines reviewers expect, what others learned the hard way, and a plan that covers it all. 4️⃣ Write the paper. What each conference favors, what the good papers have in common, and a convincing story with top-tier work behind it, every citation checked against the paper it names.
In one click, you can add it to ChatGPT or Claude. It also works in Cursor, Codex and 40+ AI apps that support MCP, and it is free to start.
Today, over 1k+ researchers rely on it daily in their AI-native research workflows. We would love for you to try it, and tell us what you think!
“The search engine built for scientific AI agents”
Lune launched on Product Hunt on October 10th, 2026 and earned 83 upvotes and 5 comments, placing #10 on the daily leaderboard. Lune is Exa.ai for scientific research. It connects AI agents to research knowledge and tools built for scientific workflows, and provides high-quality knowledge grounding based on papers from top-tier academic conferences. 10x the efficiency and trustworthiness of literature review, experimental design, writing and peer review. From early ideas to publication, it helps researchers and technical teams move faster with traceable sources, deeper grounding, and rigorous, evidence-backed decisions.
On the analytics side, Lune competes within Developer Tools, Artificial Intelligence and Science — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Lune performed against the three products that launched closest to it on the same day.
Who hunted Lune?
Lune was hunted by Tony He. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Lune including community comment highlights and product details, visit the product overview.
Tony He
👋 Hey, Product Hunt!
We built Lune, a ChatGPT/Claude connector plugin for slop-free AI research. Ask your agent a research question, and its answer always comes back with evidence from top-tier papers behind it, and not noise from the open web.
Lune indexes years of top-tier conference papers in full text, down to the equations and appendices. Through our grounding service, your AI can learn to RAG search and read papers on its own, automatically and precisely, before it answers. So the literature backs you at every step:
1️⃣ Find the gap. It pins down the SOTA work on your topic, reads the details and tells you what is still open.
2️⃣ Brainstorm. Your AI becomes a Reviewer 2 who has read the frontier. It tells you who got there first and where the real gap is.
3️⃣ Design experiments. Which benchmarks matter, which baselines reviewers expect, what others learned the hard way, and a plan that covers it all.
4️⃣ Write the paper. What each conference favors, what the good papers have in common, and a convincing story with top-tier work behind it, every citation checked against the paper it names.
In one click, you can add it to ChatGPT or Claude. It also works in Cursor, Codex and 40+ AI apps that support MCP, and it is free to start.
Today, over 1k+ researchers rely on it daily in their AI-native research workflows. We would love for you to try it, and tell us what you think!
https://luneresearch.com