| Hi all! I've been working on this side project to help users easily search, read and discuss papers: https://discuria.org It's heavily focused on AI/ML papers from arXiv, but also covers biology, physics, economics and more through Semantic Scholar and other databases. You can search any topic or category, open up a paper, and leave annotations directly on the paper or comments to discuss with others, or use the AI assistant for questions without having to go to other websites. It also has a read aloud function so you can follow along as it reads. Feel free to try it out and give me any suggestions on improvements! All features are free. [link] [comments] |
Built a website for easily searching and discussing arXiv papers [P]
Reddit r/MachineLearning / 3/21/2026
📰 NewsTools & Practical UsageModels & Research
Key Points
- A new side project, discuria.org, was announced to help users search, read, and discuss AI/ML papers from arXiv.
- The platform also covers non-AI domains (biology, physics, economics) via Semantic Scholar and other databases, and supports search by topic or category.
- Users can open papers, leave annotations or comments to discuss with others, and use an AI assistant for questions plus a read-aloud feature to follow along.
- The author is inviting feedback and offers all features for free.
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