Curie is an AI research assistant built for real scientific work, not a generalist chatbot. It searches PubMed, arXiv, Europe PMC, OpenAlex and Semantic Scholar in parallel, then verifies every claim against the source text, so you see what's backed and what isn't. Point it at a document to extract structured data with the quote behind each value, or run a full systematic review, protocol, screening, PRISMA diagram, with you approving every decision. Projects and a library keep it organized.
Hey everyone! I'm the developer behind Curie, and I'm excited to share that it's my first solo launch on Product Hunt, and one of the first real products I've built.
Curie has been over a year in the making, built together with the University of Barcelona and in collaboration with several research institutions across Europe. We opened it up for everyone to try this September, and I wanted to share where it actually came from.
Working alongside with Biost3 (a bioinformatics, data science, and statistics research team) and watching the researchers day in and day out, we realized one of the most exhausting parts of their job was reviewing dense scientific papers. Drawing real conclusions meant holding entire articles in their heads at once, a massive cognitive overload.
On top of that, what they desperately needed was information they could actually trust: answers checked and verified against real scientific databases, not just whatever plausible hallucination a generalist AI churned out. Most tools aren't even connected to actual scientific literature, but research demands rigorous biological interpretations grounded in peer-reviewed evidence. Seeing the researchers in my unit struggle with this exact friction every single day made it clear that generic AI wasn't going to cut it. That struggle is the exact reason why Curie was born.
From there it kept evolving: searching across multiple scientific databases at once, verifying every claim against its source, extracting structured data with the exact quote behind each value...
Would love to hear what you think. Any questions, feedback or suggestions to improve Curie are genuinely welcome!
Nice to see a new option. How do you compare this to Consensus web or Consensus MCP?
About Curie on Product Hunt
“Assistant for scientific literature and document analysis.”
Curie launched on Product Hunt on September 29th, 2026 and earned 99 upvotes and 5 comments, placing #13 on the daily leaderboard. Curie is an AI research assistant built for real scientific work, not a generalist chatbot. It searches PubMed, arXiv, Europe PMC, OpenAlex and Semantic Scholar in parallel, then verifies every claim against the source text, so you see what's backed and what isn't. Point it at a document to extract structured data with the quote behind each value, or run a full systematic review, protocol, screening, PRISMA diagram, with you approving every decision. Projects and a library keep it organized.
Curie was featured in Productivity (661.8k followers), Education (79.3k followers) and Artificial Intelligence (479.8k followers) on Product Hunt. Together, these topics include over 323.2k products, making this a competitive space to launch in.
Who hunted Curie?
Curie was hunted by Víctor Madarnás. 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.
Want to see how Curie stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Víctor Madarnás
Hey everyone!
I'm the developer behind Curie, and I'm excited to share that it's my first solo launch on Product Hunt, and one of the first real products I've built.
Curie has been over a year in the making, built together with the University of Barcelona and in collaboration with several research institutions across Europe. We opened it up for everyone to try this September, and I wanted to share where it actually came from.
Working alongside with Biost3 (a bioinformatics, data science, and statistics research team) and watching the researchers day in and day out, we realized one of the most exhausting parts of their job was reviewing dense scientific papers. Drawing real conclusions meant holding entire articles in their heads at once, a massive cognitive overload.
On top of that, what they desperately needed was information they could actually trust: answers checked and verified against real scientific databases, not just whatever plausible hallucination a generalist AI churned out. Most tools aren't even connected to actual scientific literature, but research demands rigorous biological interpretations grounded in peer-reviewed evidence. Seeing the researchers in my unit struggle with this exact friction every single day made it clear that generic AI wasn't going to cut it. That struggle is the exact reason why Curie was born.
From there it kept evolving: searching across multiple scientific databases at once, verifying every claim against its source, extracting structured data with the exact quote behind each value...
Would love to hear what you think. Any questions, feedback or suggestions to improve Curie are genuinely welcome!
A hug,
Víctor