This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
NNScholar
AI-powered literature discovery & analysis for researchers
Search papers, read PDFs, verify citations, and run AI research agents in one desktop workspace for literature reviews, evidence tracking, and writing.
As researchers ourselves, we know how time-consuming literature review can be. Juggling 10+ tools daily drains creative energy before the real work even starts.
So we built NNScholar — an Agent-driven IDE for researchers. Search databases in plain language, chat with PDFs, and generate review drafts in one workspace.
Already trusted by 150,000+ researchers worldwide, 60% from outside China.
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About NNScholar on Product Hunt
“AI-powered literature discovery & analysis for researchers”
NNScholar was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #71 on the daily leaderboard. Search papers, read PDFs, verify citations, and run AI research agents in one desktop workspace for literature reviews, evidence tracking, and writing.
NNScholar was featured in Productivity (661.2k followers), Education (79.2k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 318.6k products, making this a competitive space to launch in.
Who hunted NNScholar?
NNScholar was hunted by wen yuanli. 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 NNScholar stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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