Research creates a mountain of digital content: papers, articles, citations, methodologies, related work. Traditional bookmark managers fail because organizing research manually is time-consuming and inconsistent. Keevo uses AI to organize your research automatically.
Forgetting where you read that crucial insight
Manual tagging is tedious and inconsistent
Can't find papers from 6 months ago
Related research gets scattered across folders
Share collections with collaborators is clumsy
AI reads and auto-categorizes papers by topic and methodology
Search by concept: 'papers about neural network interpretability' finds relevant research
Track research across platforms: arXiv, Google Scholar, journals, blogs
Share public collections with collaborators or students
Build a living literature review that grows as you read
Auto-extracts topics and themes from academic content
Natural language search for research concepts
Platform-specific filtering (arXiv, PubMed, journals)
Public collections for sharing reading lists
Rich metadata including authors and publication info
Building and maintaining literature reviews
Organizing citations by research theme
Tracking emerging topics in your field
Creating curated reading lists for students
Collaborative research collections
“I can finally search my research collection by concept, not just keywords. It's like having a research assistant who remembers everything I've read.”
Dr. Emily R.
Cognitive Science Researcher
“Building literature reviews used to take days of digging through old bookmarks. Now I just search and the relevant papers appear.”
Prof. James L.
Computer Science Faculty
Join thousands of researchers who have switched to AI-powered link management.
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