Alternatives
Products that do what Paper Radar does
What 28 AI labs published on arXiv, over any date range
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- 4IR
I’ve been frustrated with PDFs and found arXiv HTML lacking, so I built a fully interactive paper reader. Features: • Hover references, citations, equations • Light/dark mode • Auto-generated dependency graphs for definitions/lemmas/theorems • Table of contents that syncs with scroll • Highlighting + annotations • “Copy raw LaTeX” anywhere Featured paper: Video models are zero-shot learners and reasoners (Veo 3) https://www.sciencestack.ai/arxiv/2509.20328v2
Nov 2025 · sciencestack.ai
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Hey folks! This is a project that I've been working in my free time for the past few months. It's a news aggregator that uses AI to select relevant articles and summarize them. The default sources are frameworks and libraries' updates, popular HN topics, and languages' subreddits threads that make past a certain threshold. You can run a local instance (needs an OpenAI key) and customize it with your own sources, and adjust the prompt as well. The resulting website can be browsed at https://dev-radar.com/ My next experiment will be with local news. I'm building some feeds with…
2023 · github.com
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I created this tool over the weekend because, as someone interested in AI and technology, I find many research papers on arXiv fascinating but often incredibly dense and difficult to understand due to the heavy jargon and technical language. I wanted to make these complex topics more accessible to laypeople like myself by converting the topics described in these papers into full-length books that break down key concepts, making cutting-edge research easier to grasp. You can think of it as generating prerequisite reading materials before being able to read the actual paper. Here are some…
2024 · instabooks.ai
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The project aims to organize computer science research in a logical, simple, and easy-to-follow way. It is designed to help us find papers worth reading first. I started building Trending Papers because following computer science research has become increasingly hard as the pace of innovation accelerates. The number of new articles on Arxiv has grown at 27% CAGR for the past 20 years. 240 new papers have been filed daily on average over the past 12 months. And the number is growing: last month, there were well over 300 new papers on average every single day. The system is based on some…
2023 · trendingpapers.com
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As a researcher, I created SmartXiv to solve a problem I faced every day: keeping up with the overwhelming number of research papers uploaded to arXiv. With over 1000 new papers each day, finding the most relevant research was time-consuming and exhausting. I needed a smarter way to stay updated. What SmartXiv Does • Personalized Recommendations: Using advanced AI, SmartXiv analyzes your interests and sends you daily emails with research papers that align with your preferences. •Efficient Research: By curating the latest papers for you, SmartXiv saves you hours of research. • Fully…
2024 · smartxiv.com
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Autonomously analyzes data and writes human-verifiable scientific papers! Fun GUI for AI-human copiloting! Papers are "data-chained": each result can be click-traced all the way up to the raw code. Try it out: pip install data-to-paper
2024 · ai.nejm.org
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To be specific, the content is generated by a GPT-2 based model. https://amzn.to/2TCc0v2 Let me know if you have any questions :-)
2020
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2018 · semanticscholar.org
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Do you have trouble keeping up with the latest advance in AI? I've built a recommender system to bring you the latest research papers in AI. Simply subscribe to the topics you're interested in, and the app will recommend you the latest research in that topic. The app is far from complete, but I'm seriously working to improve it. Please try it out if you have time, and send your feedback to: [email protected].
2023 · research-assistant-roan.vercel.app
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I have a weird habit of guessing whether something's AI before I check, especially on LinkedIn and Reddit (for obvious reasons). The detectors I used to confirm were mostly junk and built to sell you a "humanizer" upsell, so I went and read the actual research on what gives AI text away in 2026, then built my own (no login and free) The main sources I used are these: https://arxiv.org/abs/2406.07016 https://arxiv.org/abs/2403.07183 https://aclanthology.org/2025.coling-main.426/ https://arxiv.org/abs/2410.16107…
Jun 2026 · isitslop.xyz
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We're excited to release PaperQA2, an open source RAG library specialized to work with the scientific literature. We've seen some really compelling results with it (https://paper.wikicrow.ai), like superhuman performance at question answering and summarization when compared with expert scientists. PaperQA2 is a major overhaul of our prior PaperQA system, it includes automatically obtained rich metadata for each paper, a CLI to work with local papers directly, a local full-text search engine for keywords searches over PDF files, a state-of-the-art algorithm for LLM-based re-ranking…
2024 · github.com
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I built this because I started reading a lot of arXiv papers and wanted a quick way to store and download them. Features: - Add a bunch of arXiv papers to Notion with auto-populated title/URL/date/authors in one command - Download PDFs of any papers you haven't saved yet in one command
2023 · github.com
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Hello everyone! I always found it hard to find new research papers outside of my usual bubble. I thought a random feed (with no recommendation algorithms) might be a fun way to explore. But I also didn’t want to waste time on completely unrelated stuff — so the idea of a fast, swipeable format came to mind. Wikitok was a real inspiration! But Arxiv and Open Review APIs weren’t as robust as Wikipedia, so I pulled the papers into a Postgres backend. Right now, I’ve indexed papers from a few recent ML conferences to see if this might be useful for others too. No signups required and it’s…
2025 · artok.app
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Almost one year ago I asked HN if anybody is interested to make a Web app to make reading and finding scientific papers smarter [http://news.ycombinator.com/item?id=1664648]. No one did, at least no one did what "I" think is the best way to approach this problem. A a few month ago I decided to do it myself.<p>Meet JournalClub iPad app (absolutely free), http://itunes.apple.com/us/app/journalclub/id443819334? I have a recommendation engine in the pipeline that I would introduce in the next update (hopefully in a month or so). I really appreciate any comments, feedbacks.
2011
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Hi HN! I built a proof of concept 'newspaper' that creates short news articles of today's current events with GPT. This is a very rough proof of concept but I can't help but think this concept is the future. I think we'll all have AI daily newspapers in whatever theme we want, covering any amount of information we want, with the ability to expand or contract article length instantly. Sharing just to get everyone thinking about this future. Thanks for reading!
2023 · thegordonpost.com
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Hey HN! I built arXiv News (https://arxiv-news.com) – a discussion space for research papers. The problem: I browse arXiv constantly for new papers, but there's nowhere good to discuss them. Twitter is chaotic, Reddit is fragmented, and arXiv itself has no comments. So I cloned HN's design (using https://github.com/clintonwoo/hackernews-react-graphql) and applied it to arXiv. Upvote papers, comment, sort by hot/new/discussed, filter by category, post ideas/papers you've found. A daily scraper pulls all new papers automatically. I'd love to hear…
Oct 2025 · arxiv-news.com
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