# Dewey vs Lune

Dewey records 0 monthly visits with — month-over-month growth and Free pricing. Lune records 6,340 monthly visits with -28% growth and Freemium pricing.

| Metric | [Dewey](https://openaitools.app/tool/dewey) | [Lune](https://openaitools.app/tool/lune) |
| :--- | :--- | :--- |
| Website URL | https://chromewebstore.google.com/detail/dewey/oajcmbkciefmmbpfhdldgjehbkjaleda | https://luneresearch.com |
| Categories | AI Research Papers, AI API, AI Research Tool | AI Research Tool, AI Research Papers, AI Search Engine, AI Knowledge Base |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 6,340 |
| MoM Growth Rate | — | -28% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 941 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Browser Extension | Website |

## Dewey

Dewey solves a very specific and recurring problem in academic reading: you have found one good paper and now want the others that are conceptually close to it. Instead of reformulating queries by hand across a search engine or bibliographic database, Dewey reads the paper page you are currently on and returns a set of related papers, ranked by semantic similarity rather than keyword overlap.

The extension is deliberately small — the Chrome Web Store listing reports a package of roughly 14 KB — and the entire intelligence sits behind the Exa API, an AI-native search engine built for embeddings-style retrieval over web and document content. That architecture is why Dewey can act on any paper page you land on, not just ones hosted in a single database.

Dewey is free, has no advertisements, and the developer discloses that no user data is collected or sold. It is a good fit for graduate students, systematic-review authors, and anyone who routinely jumps between Google Scholar, publisher pages, and preprint servers and wants a faster way to expand a reading list.

**Pricing & Plans:** Completely free. The Chrome Web Store listing states Dewey is free with no ads, and no paid tier is advertised.

- **One-click similar-paper search:** Press the extension on any research paper page and get a ranked list of conceptually related papers without retyping queries.
- **Semantic matching via Exa:** Results come from the Exa AI search engine, which ranks by meaning and context rather than exact keyword matches.
- **Works on any paper page:** Because retrieval runs through the Exa API, Dewey is not locked to a single repository and can act on publisher pages, preprint sites, and personal pages.
- **Zero-ads, lightweight build:** The extension ships as a very small package and shows no advertising, keeping page load and interface overhead minimal.
- **Privacy-conscious defaults:** The developer declares no data collection, no sale of data to third parties, and no unrelated use of browsing data.

**Strengths:** Completely free with no advertising; Extremely lightweight install (small package, minimal footprint); Semantic similarity produces better neighbours than keyword search; Works across publishers and preprint servers, not one walled database

**Limitations:** Depends entirely on the Exa API, so quality tracks that service; No saved libraries, annotations, or export features; Last listed update was mid-2024, so the project moves slowly

[Profile (Markdown)](https://openaitools.app/tool/dewey.md)

## Lune

Lune takes a deliberately narrow approach to AI research. Instead of crawling the open web, it indexes full texts from A/A* computer science venues — security, systems, machine learning, HCI, databases, theory and more — and exposes them to AI agents through a connector, an MCP server and a CLI. The result is an agent that can quote real paper text, trace a citation chain, and tell you which prior work makes an idea feel derivative.

The product is built around four research stages: literature review, brainstorming, experimentation and writing. For a literature review, Lune retrieves foundational papers and shows what they actually claim, with the passage it is drawing from. For brainstorming, it checks an idea against prior work and points at a specific gap — for example, that a method is brittle under domain shift and rarely evaluated cost-aware. For experimentation, it surfaces the baselines and controls reviewers expect. For writing, it helps position a method against named prior work with citations verified against the sources.

Beyond search, Lune offers a talent database of researchers with full publication records and contact information, plus venue listings for the conferences it indexes. It is aimed at students, academic researchers and applied AI teams who need trustworthy grounding rather than fluent guesses. Access is freemium: there is a free entry point and paid plans for heavier use, so check the current pricing page for limits and tiers.

**Pricing & Plans:** Freemium. There is a free entry point, with paid plans for heavier agent use and access to the full dataset. Check luneresearch.com/pricing for current tiers and limits.

- **Full-text semantic search:** 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.
- **Citation tracing:** 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.
- **Agent connector and MCP server:** Lune connects to Claude, ChatGPT and other MCP-capable clients, so your agent can pull real paper text and best-practice guidance mid-task.
- **Research best-practices library:** Battle-tested guidance on novelty checks, baselines, ablations and reviewer expectations is surfaced at the moment it is relevant, not buried in a wiki.
- **Researcher talent database:** Search leading computer scientists by research area, school or name, and check publication track records with contact details for outreach.

**Strengths:** Answers are grounded in the actual full text of peer-reviewed papers, with sources you can check; Connects to Claude, ChatGPT and other MCP clients so it works inside the agent you already use; Best-practice libraries cover the unglamorous things reviewers punish, such as missing baselines and weak novelty arguments; Researcher talent database with publication records and contact details is unusual and genuinely useful

**Limitations:** Centered on top-tier computer science venues, so researchers in other fields may find coverage thin; Requires connecting an agent (Claude, ChatGPT or a compatible MCP client) to get the most from it; Most value depends on an existing AI agent and a paid plan; the free tier is limited; Not a general web search engine — it deliberately ignores blogs, forums and non-archival sources

[Profile (Markdown)](https://openaitools.app/tool/lune.md)

## Frequently Asked Questions

### How do Dewey and Lune compare in monthly traffic?

Dewey has 0 monthly visits, while Lune has 6,340. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dewey has a month-over-month growth rate of —; Lune has -28%.

### How does pricing compare?

Dewey: Free. Completely free. The Chrome Web Store listing states Dewey is free with no ads, and no paid tier is advertised. Lune: Freemium. Freemium. There is a free entry point, with paid plans for heavier agent use and access to the full dataset. Check luneresearch.com/pricing for current tiers and limits.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 2 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 3 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | AI academic search engine for peer-reviewed science | [.md](https://openaitools.app/tool/consensus.md) |
| 4 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | AI research platform for reading, understanding and writing scientific papers | [.md](https://openaitools.app/tool/scispace.md) |
| 5 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | AI research assistant for evidence-based literature review and synthesis | [.md](https://openaitools.app/tool/elicit.md) |
| 6 | [Jenni](https://openaitools.app/tool/jenni) | 1,498,133 | +5.2% | Freemium | The AI workspace where researchers read, write, and cite with every claim traceable to its source | [.md](https://openaitools.app/tool/jenni.md) |
| 7 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | AI answers grounded in 300M+ scholarly full texts | [.md](https://openaitools.app/tool/scite.md) |
| 8 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Map the literature around the papers you love—free | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 9 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Explore the academic literature as a visual graph of related papers | [.md](https://openaitools.app/tool/connected-papers.md) |
| 10 | [Paperguide](https://openaitools.app/tool/paperguide) | 371,972 | -2.9% | Freemium | AI-native workspace for literature reviews and auditable systematic reviews | [.md](https://openaitools.app/tool/paperguide.md) |

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Source: https://openaitools.app/compare/dewey-vs-lune

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