
The quickest way to read and understand scientific literature - Highlight confusing text, math, and tables to get a simple explanation - Ask follow-up questions and get instant answers - A new way to search and find relevant papers without specifying keywords
Scispace
Thanks, @benln for hunting us!
Hello, Product Hunt Community👋,
I’m Saikiran Chandha, founder of SciSpace.
Being in the academic space for years, I understand how challenging and time-consuming it is to find the most relevant papers. Researchers often spend hours refining search queries, skimming abstracts, and tracing citations — only to wonder if they’ve missed something crucial.
Sounds familiar? 🙄
That’s exactly why we built Deep Review — the AI research agent that takes the hassle out of systematic reviews and finds the most relevant papers for you.
I’m super pumped to introduce Deep Review by SciSpace, the first AI research agent for systematic reviews — which you always wanted!
🚀 What is Deep Review?
Deep Review isn’t just another academic search engine. It acts like a researcher, refining searches and thinking critically to ensure you get only the most relevant and accurate papers, 10x faster and better than Open Research — with reduced cost.
Here’s how it works:
✅ You start with a simple query or keyword
✅ Our agent enhances your query with better keywords, synonyms, and context
✅ Runs multiple refined searches to surface the most relevant results
✅ Reads abstracts, traces citations, and finds hidden papers you might have missed
✅ The AI agent knows when it has found enough relevant papers and stops searching
✅ Results are well-organized, not just a long, overwhelming list
🔥 Why Deep Review stands out?
Most AI search tools just dump papers based on keywords. Deep Review does more:
🧠 Thinks like a researcher — understanding deeper requirements, not just keywords
🎯 Optimizes every step of the search — ensuring precision and relevance
⚡ Delivers 10x more accuracy & speed than other AI search tools
🔍 Provides transparency — so you see exactly how each paper was selected
Use Cases
From academia to industry research, Deep Review supports researchers across disciplines by streamlining access to relevant papers.
😍 Try it out now: https://scispace.com/search
We’d love your feedback — share your thoughts at community@scispace.com
A small perk for the Product Hunt community, use the code PHUNT50 to avail yourself $50 off on the Deep Review annual plan 😊
What’s Coming Next?
Right now, Deep Review searches across 280M+ papers in SciSpace, but we’re taking it even further.
📢 Soon, you’ll be able to:
Search across other academic databases including Google Scholar, PubMed, and more to access all the papers with our AI-powered browser search
Huge thanks to this amazing community — your support made our previous launch #1 on Product Hunt! Let’s just do it again 🚀
Scispace
Thanks, @benln .
Hello, Product Hunt Community
Bringing Deep Review to life took months of research, testing, and iteration.
We wanted to build something that truly changes how researchers find relevant papers — making it faster, smarter, and more reliable than ever before.We're already working on enhancing it further, and your feedback is key to making it even better. Try it out, share it with your peers, and let us know your feedback.
Huge thanks for your support!
Streos
@benln @saikiranchandha Congrats on the launch! Deep Review looks like another solid tool from SciSpace. Unfortunately, I couldn’t find any API options, do you offer any, or are there plans to add them?
Scispace
@benln @dineshan_sithamparanathan Yes, we don't have an API option as of now. What is your usecase for the API?
Scispace
@benln @masump Yes, for every new paper it reads, the AI fires a new query based on the understanding from the literature, this adaptation algorithm mimics human exploration.
Scispace
@victoria_wu Yes, deep review is meant to help researchers save their manual hours. Thanks for your kind words:)
Tanka
This is cool! I'm sharing this tool with my friends in science field. Good luck!
Scispace
@kissonlin Thanks much for your support!
PictoGraphic
Where does the library of papers that it's searching come from? Is it from the LLM itself or do you have your own internal db.
Scispace
@rwanghacker We have an index of 250M+ research articles abstracts and open access full-text