What is RNews?

RNews is a community-driven aggregator for scientific papers and links, built for researchers who want a fast, minimalist way to discover, share, and discuss the literature that matters. In an era of new personalized AI solutions, RNews aims to promote and highlight research interests and discussions between researchers and enthusiasts.

None of us is as smart as all of us.

General guidelines

This website is heavily inspired by Hacker News and aims to follow its community standards. Please refer to its guidelines before posting original submissions or comments.

Submitting items

Any registered user can submit a link or a scientific paper. For papers, paste the URL (DOI, arXiv, PubMed, or any journal page) and click Fetch metadata — the system will try to automatically fill in the journal, authors, and publication date.

Tags

Every item requires at least one tag. Tags are lowercase, shared across all users, and color-coded for quick scanning. You can save tags to your profile and use them to filter your personal page or team pages.

At submission: The submitter assigns up to 5 tags when posting an item. These tags start with a community score of 10, making them immediately visible across the site. Only tags that already have a score of at least 5 on some item will appear in autocomplete — this keeps the vocabulary focused and discourages one-off tags.

After submission: On an item's detail page, any logged-in user can hover over a tag to reveal − and + vote buttons. Voting adjusts that tag's score for this specific item. Tags that fall below a score of 6 are moved to a Suggested row beneath the main tags and are hidden from feed and search results until the community votes them back up.

Users can also propose entirely new tags via the + suggest tag button. A suggested tag starts with a score of 1 and is only visible on the item's page until it reaches the display threshold.

Automatic ingestion

New papers from a curated list of 115 monitored journals are fetched every 12 hours and tagged automatically. Auto-ingested papers are marked with a icon and appear alongside user-submitted content.

Teams

Teams are private or public spaces where groups of researchers can curate their own feed. Items submitted directly to a team are team-only; items shared from the main feed keep their public presence while also appearing in the team.

Search & permalinks

The search bar at the top supports full-text title search. Toggle by tag to find items matching specific tags — the resulting URL is a stable permalink you can bookmark or share.