Lune: Connects AI agents to computer science citation networks, but lacks Connected Papers' intuitive graphical exploration interface. Connected Papers records 750,576 monthly visits with +3.1% month-over-month growth and Freemium pricing. Lune records 6,340 monthly visits with -28% growth and Freemium pricing.
Explore the academic literature as a visual graph of related papers
Evidence-grounded literature search for AI research agents
| Dimension / Metric | | |
|---|---|---|
| Official Domain | connectedpapers.com | luneresearch.com |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 750.58K (750,576) | 6.34K (6,340) |
| MoM Traffic Delta | +22.43K (+3.1%) | -2.47K (-28%) |
| Primary Market & Share | 🇺🇸 United States (17.6%) | 🇺🇸 United States (81.6%) |
| Direct Visits / mo | 308.44K | 941 |
| User Rating | 4.7 | 4.3 |
| Supported Platforms | Website | Website |
Explore the academic literature as a visual graph of related papers
Each graph places the seed paper among its most closely related works, clustered by how often papers are cited together or share references.
Separate perspectives show what a paper builds on and what later work builds on it, which is ideal for tracing a research lineage.
Start from a paper title, DOI, URL or proceedings link, so you can enter the graph from whatever you already have at hand.
A ranked list view lets you browse related publications by relevance when you need specifics rather than an overview.
Evidence-grounded literature search for AI research agents
Ask in plain language and Lune searches the full text of papers from top-tier venues all at once, rather than matching keywords against titles and abstracts.
See what a paper builds on and what later work builds on it, so you can place a result in its research lineage instead of treating it as an isolated claim.
Lune connects to Claude, ChatGPT and other MCP-capable clients, so your agent can pull real paper text and best-practice guidance mid-task.
Battle-tested guidance on novelty checks, baselines, ablations and reviewer expectations is surfaced at the moment it is relevant, not buried in a wiki.
Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models.
Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models.
A free, AI-powered academic search engine for 240M+ papers across every scientific field
A free, AI-powered academic search engine for 240M+ papers across every scientific field
AI academic search engine for peer-reviewed science
AI research platform for reading, understanding and writing scientific papers
AI research platform for reading, understanding and writing scientific papers
AI research assistant for evidence-based literature review and synthesis
The AI workspace where researchers read, write, and cite with every claim traceable to its source
The AI workspace where researchers read, write, and cite with every claim traceable to its source
AI answers grounded in 300M+ scholarly full texts
AI answers grounded in 300M+ scholarly full texts
Map the literature around the papers you love—free
Map the literature around the papers you love—free
AI-native workspace for literature reviews and auditable systematic reviews
AI-native workspace for literature reviews and auditable systematic reviews
Helps discover and track academic papers and trends, but offers less robust visual citation graph mapping.
Helps discover and track academic papers and trends, but offers less robust visual citation graph mapping.
AI-powered platform to read, write, and stay current with research
Generates visual concept map clusters for broader research fields, but lacks granular paper-to-paper citation networks.
Generates visual concept map clusters for broader research fields, but lacks granular paper-to-paper citation networks.
