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Undermind (YC S24)
AI agent for discovering scientific papers
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Problem
Users struggle to find precisely relevant scientific papers, especially for complex topics using traditional search engines like Google Scholar and Pubmed.
Solution
Web-based AI agent that performs an in-depth and targeted search of research literature.
Users can: discover precisely relevant scientific papers, especially for complex topics with 10-50x higher accuracy than Google Scholar and Pubmed.
Examples: finding research works that are highly pertinent to niche scientific subjects.
Customers
Researchers, scientists, academics, and students seeking highly relevant and accurate scientific papers for their studies or projects.
Alternatives
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Unique Features
AI-powered technology offering 10-50x better search results than traditional search engines like Google Scholar and Pubmed.
Deep and targeted search capabilities to find precisely relevant scientific papers for complex topics.
User Comments
Highly accurate and efficient in finding research works for my academic projects.
Impressive performance in discovering niche scientific papers that are usually hard to find.
Significantly better results compared to other search engines for complex topics.
Saves a lot of time by presenting directly relevant scientific papers.
Great tool for researchers and academics looking for specific and accurate research works.
Traction
The product has gained significant traction with over 100k users actively using it for accessing scientific papers.
Currently generating $50k MRR, showing steady growth in revenue.
The founder has 5k followers on ProductHunt and received positive feedback from the community.
Market Size
The global scientific publishing market was valued at $2.59 billion in 2021 and is expected to grow at a CAGR of 2.3% from 2022 to 2028.
The demand for precise and relevant research papers continues to rise with the increasing number of researchers, academics, and students globally.