Your canary in the research mine

Stop scanning.
Start reading what matters.

Like the canary that warned miners of invisible danger, Papernary detects the papers you can't afford to miss. Wake up to a curated briefing — with summaries and explanations of why each one matters to you.

The Problem

Researchers are drowning in literature.

Top journals publish dozens of papers every day. If you track even a handful, you face hundreds of new papers per week — far more than anyone can screen by hand. The result? Missed breakthroughs. Duplicated effort. A nagging feeling that something important slipped through the cracks.

Journal alerts are noise

Raw, unfiltered lists with no context. You do all the screening yourself.

Scholar is stale

Opaque recommendations not tailored to your evolving research interests.

Scanning breaks first

When deadlines hit, staying current with the literature is the first habit to fall.

How It Works

Describe your research. Get a daily briefing. That's it.

01

Tell it what you care about

In plain language, the way you'd describe your work to a new collaborator. No keyword lists, no boolean queries.

02

Pick your journals

Any journal, any publisher. Papernary watches them all in one place.

03

Get your daily briefing

A ranked, annotated summary of what's new and why it matters to you. Like a note from a brilliant colleague.

What You Get Every Morning

A five-minute briefing built around your research.

Your Daily Briefing
Feb 22, 2026 · 42 papers scanned · 3 journals

Recommended Reads

1

Attention-based Graph Neural Networks for Molecular Property Prediction

Zhang et al. — J. Am. Chem. Soc.

Extends transformer architecture to molecular graphs — directly relevant to your drug-target interaction modeling.

2

Scalable Bayesian Optimization for High-Dimensional Materials Discovery

Patel & Kim — Nature Materials

New BO framework handles 50+ dimensional search spaces. Could accelerate your catalyst screening pipeline.

3

Foundation Models for Scientific Discovery: A Survey

Chen et al. — Science

Comprehensive review of FM applications in chemistry and materials. References your 2024 preprint.

Honorable Mentions

Self-supervised Learning for Protein Folding — tangential but novel approach

Automated Lab Protocols via LLM Agents — relevant to your lab automation goals

Scanned: Nature Materials (18), J. Am. Chem. Soc. (15), Science (9)
Why Papernary

Built differently from everything you've tried.

Papernary

  • Natural-language research profile
  • Per-paper relevance notes
  • Any journal, any publisher
  • Explicitly exclude topics
  • Full screening stats

Journal Alerts

  • Keyword filters only
  • No relevance explanation
  • One journal at a time
  • No exclusion support
  • No transparency

Google Scholar

  • Opaque algorithm
  • No relevance explanation
  • Mixed with noise
  • No exclusion support
  • No transparency
Who It's For

If you read research, Papernary is for you.

Academic Researchers

Tracking multiple journals and want to reclaim hours every week.

PhD Students

Building knowledge of a field and afraid of missing key papers.

R&D Scientists

Need to stay current without dedicating half a day to it.

Research Group Leaders

Want a shared, automated literature summary for their team.

You became a scientist to do science.

Not to spend your mornings scrolling tables of contents. Papernary sings when something important surfaces — turning the daily firehose of academic publishing into a focused, five-minute briefing built around your research.

Start Reading Smarter
© 2026 Papernary. Built for researchers.