PAPERZILLA
High-signal research paper feeds
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Always-on paper monitoring

Features & Use Cases

Paperzilla turns paper discovery into a continuously running research system. Create a project for any research interest, and Paperzilla monitors new papers, ranks what matters, explains every match, summarizes key findings, and delivers them to your inbox, RSS reader, CLI, or AI agent.
Monitoring arXiv, bioRxiv, medRxiv, ChemRxiv, ChinaXiv, and more. Thousands of new papers every day.
Create a research feed
Guided setup; takes less than 2 minutes
System shape

Your always-on research system

Most paper tools help you search once. Paperzilla keeps watching.
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Research Projects
Create one feed per topic, field, method, or watchlist. Projects combine a plain-language interest with source filters and delivery settings.
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Continuous Monitoring
Paperzilla watches newly harvested papers and updates your feed as relevant work appears, with no manual searching required.
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Relevance Ranking
Papers are ranked by how well they match your stated interest, not just whether they contain a keyword. Separate must-reads from noise.
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Delivery Everywhere
Web app, email digests, RSS/Atom, CLI, MCP, or API. Read papers wherever you already work.
Feature pillars

Everything Paperzilla does

The core product surfaces are designed around one job: keep a focused research feed current and usable.
Research Projects
Smart Matching
Live Paper Feed
Email & RSS
AI Summaries
Agent Workflows
Alert Inbox
Public Sharing
CLI, MCP & API
Research Projects
Build a live feed for any research interest
A Paperzilla project is a standing research brief. Combine your topic description, preferred sources and categories, include terms, exclude terms, and delivery settings into a live feed that keeps updating as new papers are published.
Good for: individual researchers, technical founders, R&D teams, labs, scouts, and investors
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Create a project from a plain-language research interest
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Select source categories and supported preprint servers
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Add include terms to boost key methods, entities, or topics
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Add exclude terms to suppress recurring false positives
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Edit, pause, resume, make public, or keep private
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Manage all research feeds from one dashboard
Smart Matching
Separate must-read papers from background noise
Paperzilla uses semantic matching, keyword-style signals, source/category filters, include terms, and exclude terms to rank papers against your project. Each recommendation shows a relevance class, matched keywords, and an explanation of why it appeared.
Angle: a relevance engine for your research, not keyword alerts with summaries
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Semantic matching against your project description
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Relevance classes: "Must Read" vs. "Related"
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"Why this matched" explanations per paper
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Matched keyword and category chips
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Fallback suggested papers when exact matches are scarce
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Optional adjacent-paper discovery for broader exploration
Live Paper Feed
A searchable workspace for every project
Every project has a live paper feed: scan new matches, sort by date or relevance, and open a detail view with metadata, abstracts, source links, PDFs, match explanations, AI summaries, and feedback controls.
Daily triage workspace: scan, open, mark, and search accumulated project history
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Search by title, authors, abstract, and summary content
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Sort by date or relevance, and filter by feedback state
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View abstracts, metadata, source labels, and source logos
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See why each paper matched your project
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Mark papers useful, very useful, or not for you
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Desktop two-pane layout or mobile detail sheet
Email & RSS
Get the right papers delivered automatically
Paperzilla delivers project updates as daily digests, weekly rollups, or private RSS/Atom feeds. Choose frequency, paper count, and schedule. Digest issues are stored in-app, so every email becomes a browsable archive.
Subscribe once. Let the literature come to you.
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Daily email digests when qualifying papers are found
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Weekly rollups based on your time zone and schedule
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Pause email without stopping the project feed
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Stored digest issues, with past delivery history browsable in the app
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Suggested-paper fallback when exact matches are scarce
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Private RSS/Atom URLs for Feedly, NetNewsWire, and others
AI Summaries
Turn dense papers into structured research briefs
Paperzilla generates structured AI summaries organized into accessible explanation, overview, research question, methodology, results, limitations, takeaway, and possible conflicts of interest.
Emphasis on structured evaluation: decide to read, cite, discuss, or ignore
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Generate structured summaries for individual papers
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Sections include methodology, results, limitations, and takeaway
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Possible conflicts of interest surface automatically
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Search summarized papers within a project
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Upload a PDF for standalone paper analysis
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Full-text markdown artifacts for CLI, MCP, and agent workflows
Agent Workflows
Give your AI research agent a live literature feed
Through MCP, CLI, API, RSS/Atom, and agent skills, Paperzilla becomes the literature source for AI agents that prepare recurring research briefs, inspect new recommendations, fetch full paper details, and explain why selected papers matter.
Paperzilla is the research memory and retrieval layer for agents that need to stay current
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Connect agents through Paperzilla's MCP server
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Generate, rotate, and revoke MCP API keys
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List projects, fetch feeds, search, and filter by must-read
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Retrieve canonical paper details and full-text markdown
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Build recurring weekday research briefs
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Maintain history so the same papers are not repeatedly resurfaced
Alert Inbox
Turn messy paper alerts into a structured inbox
Forward Google Scholar alerts, Stork alerts, Hugging Face Daily Papers, or other paper emails into Paperzilla. It extracts paper links, resolves them into structured records, and routes them into an Inbox while matching topic projects when possible.
Ideal for users with fragmented alert systems who want to consolidate and clean up
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Forward paper alerts from Google Scholar, Stork, and HF Daily Papers
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Parse forwarded messages and extract paper links
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Resolve to arXiv, DOI, OpenReview, SSRN, ChemRxiv, and more
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Route resolved papers into your personal Inbox project
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Mirror forwarded papers into topic projects when relevant
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Track imported paper counts and per-email outcomes
Public Sharing
Share curated paper feeds with your team or audience
Projects are private by default. Make selected projects or digests public to share ranked paper lists, shareable URLs, and let others create a feed like yours, turning a private workflow into a visible research artifact.
Ideal for researchers, founders, analysts, and teams sharing literature context
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Keep projects private by default
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Make selected projects or digests public
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Share to X/Twitter, LinkedIn, or email
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Let public viewers create a feed like the one they are reading
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Browse public digest directories by field and subfield
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SEO-friendly public paper, digest, and summary pages
CLI, MCP & API
Built for the command line, scripts, and internal tools
Paperzilla works beyond the browser. Use the CLI for local workflows, MCP for AI clients, RSS/Atom for feed readers, and API routes for custom integrations. Paperzilla is an integration layer, not just a reading app.
For technical users, this is a major differentiator and not hidden under developer tools
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Install the CLI on macOS, Windows, or Linux
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Log in with email one-time code authentication
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Fetch feeds with must-read, date, limit, and JSON options
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Search project feeds server-side from CLI or MCP
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Retrieve or queue full-text paper markdown
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Mark feedback, export JSON, and print Atom URLs
Use cases

How researchers, teams, agents, and developers use Paperzilla

01
Stay current in a narrow research area
Researchers
Never miss the paper that changes your project
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Scenario
You work in a specific research niche and cannot afford to miss important papers, but broad alerts are too noisy.
Create a project with a plain-language description, choose relevant source categories, add include terms for the methods or entities you care about, and exclude terms for recurring false positives. Paperzilla watches for new papers, ranks matches, separates must-read papers from related work, and delivers daily or weekly digests.
Key features
Research projects
Smart matching & relevance classes
Include and exclude keywords
Daily or weekly digests
Live feed search
AI summaries
02
Run an AI research agent
AI Agents
Give your agent a curated source of new papers
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Scenario
You want an AI agent to brief you on the latest work in a field, but you do not want it to perform broad, unreliable searches from scratch.
Use Paperzilla as the retrieval and ranking layer. The agent connects through MCP, CLI, API, or RSS/Atom; lists your projects; inspects feed items; fetches paper details; retrieves full-text markdown; and generates a recurring brief focused only on papers that matter.
Paperzilla scopes the literature. Your agent turns it into decisions.
Key features
MCP server and API keys
Agent skills and workflow docs
Feed retrieval and search
Must-read filtering
Paper detail retrieval
Markdown generation and retrieval
03
Prepare a lab, team, or founder briefing
Labs & Teams
Turn new papers into a team-ready brief
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Scenario
A lab, startup, or technical team needs to know which papers matter this week and why.
Create projects for each research area, product direction, disease area, or technology watchlist. Paperzilla collects the relevant papers, ranks them, explains matches, and stores digest issues. A person or agent can then turn the feed into a weekly memo, journal club shortlist, strategy note, or team update.
Key features
Multiple research projects
Weekly rollups
Stored digest issues
Public or private digest sharing
AI summaries and limitation analysis
Agent-generated briefs
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Triage individual papers quickly
Individual Readers
Decide whether a paper is worth your time
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Scenario
You find an interesting paper but need to know quickly whether to read it, share it, cite it, or ignore it.
Open the paper page, review the abstract, generate a structured AI summary, inspect methodology and results, check limitations and possible conflicts of interest, open the PDF or source, and retrieve markdown for a deeper analysis workflow.
Key features
Public paper pages
View PDF and source actions
AI summaries with ELI5 and overview
Methodology, results, limitations, takeaway sections
PDF upload for standalone analysis
Full-text markdown artifacts
05
Consolidate paper alerts
Heavy Alert Users
Bring existing paper alerts into one structured workflow
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Scenario
Your research updates are scattered across Google Scholar alerts, Stork, Hugging Face Daily Papers, newsletters, forwarded emails, and source-specific notifications.
Forward those alerts into Paperzilla. Paperzilla extracts paper links, resolves them into structured records, places them in an Inbox, and checks them against your topic projects when possible.
Key features
Forwarded alert ingestion
Paper link extraction and resolution
Inbox project
Topic matching for forwarded papers
arXiv, DOI, OpenReview, SSRN, ChemRxiv, Stork, and HF paper links
06
Build a public research digest
Curators & Educators
Publish a curated view of the literature
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Scenario
You want to share a curated digest with collaborators, readers, students, investors, or a technical community.
Make selected projects or digest issues public, share canonical links, and let visitors explore ranked paper lists and public paper pages. Viewers can use public digests as templates to create their own feeds.
Key features
Public projects and digests
Public paper pages
Share links and social sharing
Public digest directory
"Create feed like this" flows
SEO-friendly public pages
07
Automate literature workflows
Developers
Connect papers to your scripts, tools, and internal systems
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Scenario
You need literature monitoring inside a technical workflow: command-line research, an internal dashboard, a scheduled script, a briefing system, or a custom agent.
Use the CLI, MCP, RSS/Atom, and API surfaces to retrieve projects, feeds, paper details, markdown, and feedback state. Export JSON, search feed history, and plug Paperzilla into the rest of your research operations.
Key features
CLI
MCP server
API routes
Atom feeds
JSON output
Markdown retrieval
Feedback commands
Common workflows

Step-by-step patterns for different use cases

The daily researcher
The weekly team briefing
The research agent
Paper triage
The public curator
The daily researcher
1
Create a project
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Receive daily digest
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Open the live feed
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Read must-read papers
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Mark what was useful
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Generate summaries for anything needing deeper attention
The weekly team briefing
1
Create projects for each team priority
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Receive weekly rollups
3
Use explanations and summaries to shortlist
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Share a digest or agent brief with the team
The research agent
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Connect MCP-capable agent to Paperzilla
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Agent inspects new feed items
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Retrieve paper markdown when needed
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Compare papers against team context
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Produce concise brief only when something matters
Paper triage
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Open a paper page
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Review abstract and metadata
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Generate a structured summary
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Check limitations and conflicts of interest
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Decide: read, cite, share, or ignore
The public curator
1
Build a project around a field
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Make selected digests public
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Share canonical links
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Let others create feeds from your curation
Personas

Who uses Paperzilla

For researchers
Stay current in your niche without scanning every preprint server manually.
For labs & teams
Turn new papers into weekly briefings, journal club shortlists, and shared research context.
For founders & R&D
Monitor fast-moving technical areas, competitors, methods, and product-relevant breakthroughs.
For AI agents
Give agents a scoped, ranked, continuously updated source of papers instead of open-web search.
For public curators
Publish useful digest pages and help others create feeds from your curation.
For developers
Use CLI, MCP, API, RSS, JSON, and markdown to automate literature workflows.
Get started

Stop searching from scratch. Start running a research feed.

Create a Paperzilla project for the work you care about, and let Paperzilla monitor the literature, rank the important papers, summarize what matters, and deliver updates wherever you work.
Create your first research feed
Guided setup; takes less than 2 minutes
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