PAPERZILLA
High-signal research paper feeds

About Paperzilla

Never miss a research paper that matters to you.
Paperzilla watches new preprints, ranks what matches your interests, and delivers high-signal feeds you can skim in minutes — in-app, via RSS/Atom, email digest, or programmatically.

Stay ahead in your field

Your first feed in minutes • What you're looking for might be in there
See today's must-reads
Guided setup; takes less than 2 minutes

Why this exists

There are ~10,000+ new papers hitting the world every day, and this number is increasing exponentially. Alerts and feeds are firehoses; the real problem isn't discovery, it's staying current with confidence. Paperzilla filters hard, and sends fewer, better, more relevant papers - so you can keep up without FOMO.
Signal over noise. Hybrid keyword + semantic matching with an LLM re-rank.
Flexible filtering. From laser-focused to staying broadly informed.
Digestible. Skimmable summaries that point you to the source.
Consume your way. In-app feed, RSS/Atom, email digests, or programmatically via the CLI.

What you can do with it

Academics: Track your niche without living in alerts - get the handful you should actually read.
R&D teams: Keep a pulse on breakthroughs that could change your roadmap.
Generalists: Follow shifting interests (e.g., from LLMs → autonomous robotics) without rebuilding your sources.
Outcomes:
Catch more: aim to surface ~95% of the relevant papers in your focus area.
Save time: cut ~2 hours/week of skimming.
Look sharp: surprise colleagues by consistently surfacing new, relevant work.

How it works

1. Tell us your topics. Free-text terms or paste a few paper titles/abstracts.
2. We scan daily. Starting with preprint sources; more coming.
3. We rank for relevance. Smart relevance ranking using keywords and AI.
4. Consume however you like. Browse your feed in the app, subscribe via RSS/Atom, or get email digests with short summaries + links to the full text.
5. Automate with agents. Pull feeds into your own workflows with the pz CLI or connect your AI assistant via our MCP server for agentic research workflows.

Trust, privacy, and scope

Starter plan: Public by default, privacy-respecting. Starter projects are publicly discoverable, but your personal information and preferences remain private. We don't train models on your inputs.
Plus/Pro plans: Private by default with opt-in sharing. Plus/Pro projects are private unless you choose to make them public. Full control over visibility.
Sources today: arXiv, medRxiv, bioRxiv, ChemRxiv, and ChinaXiv.
Summaries: Short, cited, and cautious with preliminary results.

Contact

General: hello [at] paperzilla [dot]ai
Direct to founder: mark [at] paperzilla [dot] ai

For the Press

Boilerplate
Paperzilla helps academics, R&D teams, and research-focused professionals stay current with relevant research papers. With over 10,000 new papers published daily worldwide - a number growing exponentially - staying on top of your field has become impossible. Paperzilla scans sources like arXiv, medRxiv, bioRxiv, ChemRxiv, and ChinaXiv daily, using hybrid keyword and semantic matching with AI reranking to filter aggressively and surface fewer, better papers. Results are delivered as in-app feeds, RSS/Atom, email digests, or programmatically via the pz CLI and MCP server for agentic research workflows.
Press Contact
Email: mark [at] paperzilla [dot] ai
Press Kit
Download Press Kit (.zip)

Stay ahead in your field

Your first feed in minutes • What you're looking for might be in there
See today's must-reads
Guided setup; takes less than 2 minutes
Paperzilla
High-signal research paper feeds and weekly updates for curious minds.
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Built by agents + one human for research agents + their human.