Launched this week
Cicadus
AI Literature Review & Citation Mapping for Researchers
17 followers
AI Literature Review & Citation Mapping for Researchers
17 followers
Cicadus maps your research landscape with citation mapping, classifies citation intent (background, method, critique), and surfaces literature gaps for PhD scholars, graduate students, and researchers.
👋 Hey Product Hunt!
I’m Rakesh, founder of Cicadus — excited to finally share what I’ve been building!
The Problem : Research today is overwhelming.
You search a topic → get hundreds of papers → but no clarity on which ones actually matter to your work.
So you end up:
- Spending hours filtering irrelevant papers
- Reading blindly without knowing what’s useful
- Struggling to figure out where to even start
Our Solution :
Cicadus is an AI research assistant that doesn’t just show papers — it helps you understand them before you read
⚡ Finds papers aligned with your specific goal
🔗 Explains why each paper matters to your research
🌐 Maps how papers connect through citation relationships
Why We Built This
I built Cicadus while doing my own research.
I was tired of spending hours just figuring out what to read.
Once I built a basic version, other researchers started using it — and that’s when I knew this wasn’t just my problem.
Traction So Far
~250 researchers using Cicadus organically
Most common feedback: “Finally, I know where to start.”
What Makes Cicadus Different : Most tools help you find papers
Cicadus helps you:
👉 Understand relevance
👉 Prioritize what to read
👉 See the bigger research landscape
Looking for Feedback
This is just the beginning, and I’m actively improving it.
Would love your thoughts:
What confused you?
What’s missing?
Would you actually use this in your workflow?
Citation intent classification is such a clever idea. Does it work well across different research domains or is it tuned for specific fields?