Trending Papers, a PageRank-based tool to find papers worth reading
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…
Trending Papers, a PageRank-based tool to find papers worth reading launched on October 17, 2023 with 5 votes, #1,683 of 4,393 launches that month and more than 50% of that year's launches.
What it does
In the maker’s words, at launch
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…
Does a similar job
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As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
Now I Get It – Translate scientific papers into interactive webpagesFeb 2026 · nowigetit.us · ▲305Understanding scientific articles can be tough, even in your own field. Trying to comprehend articles from others? Good luck. Enter, Now I Get It! I made this app for curious people. Simply upload an article and after a few minutes you'll have an interactive web page showcasing the highlights. Generated pages are stored in the cloud and can be viewed from a gallery. Now I Get It! uses the best LLMs out there, which means the app will improve as AI improves. Free for now - it's capped at 20 articles per day so I don't burn cash. A few things I (and maybe you will) find interesting: * This is…
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Deep search of all ML papers2024 · app.undermind.ai · ▲109Built an automated system to run a deep search of ArXiv and carefully find all the precise papers that exist on a complex topic. It's different from simple RAG because it searches, classifies, and adapts based on relevant papers it uncovers, and then continues until it finds every paper on a topic (trying to mimic the human research process). Benchmarked 10x higher accuracy and total retrieval compared to Google Scholar for a median search (whitepaper on website). Also knows when it is complete, and misses virtually nothing (< 3% or so, once it's converged). Website has a free trial and a…
arXiv-news2025 · arxiv-news.com · ▲11Hey 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…
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