A canary, for papers

Papers worth reading,
every morning.

Journal output keeps growing. Your reading time doesn't. Papernary scans hundreds of new papers each week and surfaces the handful that actually matter to your research, in a focused five-minute briefing.

Researchers are drowning in literature.

How many journals publish work that matters to your interests? 5? 10? 20? At a few papers per journal per day, that's 100+ articles a week. No one reads that. So the few papers you actually want to read get buried, and the existing tools don't help much:

Journal alerts are noise

Raw lists with no context. You screen every title yourself.

Scholar is a black box

Recommendations you can't tune. They lag behind what you actually work on now.

Scanning breaks first

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

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

01

Tell it what you care about

Describe your interests in plain language. Skip the keyword gymnastics; paste titles and abstracts you'd actually want to read.

02

Pick your journals

Choose the sources you trust. Papernary pulls relevant papers from all of them, across publishers, in one place.

03

Get your daily briefing

A ranked summary of what's new, with a one-line note on why each paper matters to you.

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

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

Nature Materials

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

3

Foundation Models for Scientific Discovery: A Survey

Science

Comprehensive review of FM applications in chemistry and materials.

Honorable Mentions

Self-supervised Learning for Protein Folding (tangential, 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)

Built the way researchers actually work.

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

You became a scientist to do science.

Not to scroll tables of contents every morning. Papernary turns the daily flood of new publications into a five-minute briefing, ranked by relevance, delivered when you want it.

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