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TL;DR Scholar
Skip the abstract. Get the core finding instantly.
What makes TL;DR Scholar different: 🇨🇳 Native Chinese paper support—not an afterthought 🧠Summaries include significance, not just "what they did" 🎠Reviewer-style critique mode ("tough reviewer" / "logic geek") 🆓 8 free summaries/day, no signup required ⚡ 10-second results from PDF, Word, or pasted text
Hey Product Hunt! đź‘‹
I'm a researcher who got tired of opening 10 papers and finding only 1 was actually relevant. The existing tools gave me generic summaries—I wanted context, significance, and a tool that truly understands Chinese academic papers.
So I built TL;DR Scholar—upload a PDF, paste text, or snap a photo, and the AI extracts the one sentence that actually matters. No signup required.
Three things I'm genuinely proud of:
🇨🇳 Native Chinese & English paper support
🧠Summaries include "why this matters," not just "what they did"
🎠Reviewer-style critique modes (coming soon!)
I'd love your honest feedback—especially on the summary quality. Drop a paper title below and I'll run it through the tool live. Ask me anything!
About TL;DR Scholar on Product Hunt
“Skip the abstract. Get the core finding instantly.”
TL;DR Scholar was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #96 on the daily leaderboard. What makes TL;DR Scholar different: 🇨🇳 Native Chinese paper support—not an afterthought 🧠Summaries include significance, not just "what they did" 🎠Reviewer-style critique mode ("tough reviewer" / "logic geek") 🆓 8 free summaries/day, no signup required ⚡ 10-second results from PDF, Word, or pasted text
On the analytics side, TL;DR Scholar competes within Productivity, Artificial Intelligence and Search — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how TL;DR Scholar performed against the three products that launched closest to it on the same day.
Who hunted TL;DR Scholar?
TL;DR Scholar was hunted by Zhi Sheng Chen. 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 TL;DR Scholar including community comment highlights and product details, visit the product overview.
Zhi Sheng Chen