Alternatives
Products that do what ArxivSwipe does
TL;DRs on every arxiv & Hugging Face paper
- 1AV
2017 · arxiv-vanity.com
- 2TT
Hello HN, Talk2Arxiv is a small open-source RAG application I've been building for a few weeks. To use it just prepend any arxiv.org link with 'talk2' to load the paper into a responsive RAG chat application (e.g. www.arxiv.org/abs/1706.03762 -> www.talk2arxiv.org/abs/1706.03762). All implementation details are in the GitHub. Currently, because I've opted to extract text from the PDF of the paper rather than reading the LaTeX source code (since I wanted to build a more generic PDF RAG in the process), it struggles with symbolic text / mathematics, and sometimes fails…
2023 · github.com
- 3AF
Hey HN! I've always found it hard to keep up with the latest AI research, so I built Arxiv Feed! https://arxiv-feed.vercel.app/ It's basically a feed of AI research papers + a one-liner explaining what problem its solving, etc. You can also click on any paper to get a TL;DR. Right now, I've only indexed a few hundred large language model papers, but will expand to indexing AI papers in other topics. Thinking of also adding a way for people to up-vote/down-vote papers. Would love to hear any thoughts/feedback! :D Thanks!
2023 · arxiv-feed.vercel.app
- 4IM
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…
2024 · papermatch.mitanshu.tech
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- 6BA
2023 · bulletpapers.ai
- 7TA
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
- 8AO
I built this yesterday to help understand papers I'm interested in. It's using the gemini 2.5 flash lite model, but you can run it yourself[1] and switch to 2.5 pro for better results. Happy to answer any questions or take suggestions on how I can improve it! 1. https://github.com/montanaflynn/asxiv
Sep 2025 · asxiv.org
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- 10AArXivTok▲105
I made this, and it's fully open source so if someone wants to contribute here you have the url: https://github.com/Miguel07Alm/arxivtok. For this project I was inspired by https://wikitok.vercel.app.
2025 · arxivtok.vercel.app
- 11SA
2024 · github.com
- 12IM
When I read papers, I have to jump between multiple tabs to find the dataset, code, videos, peer reviews, and so on. I tried to fix this with this project. It started as a project just for papers on arXiv, but after its initial success on Twitter (got like 1.9k views: the most I have gotten for a post), I have now expanded it to include other openly available papers from PubMed Central, bioRxiv, medRxiv, and eLife. These papers have been linked with their genes, proteins, diseases, drugs, clinical trials, 3D protein structures, code, and cited and similar papers. This project now has four…
Jul 2026 · tomesphere.com
- 13DS
Built 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…
2024 · app.undermind.ai
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- 15EA
2025 · explainarxiv.org
- 16AS
So, I spend a ton of time on arXiv, like probably most of you. And while it's obviously amazing for keeping up with new papers, I always found the actual searching and browsing part a bit... clunky? Especially when you're trying to quickly figure out if a paper is even worth diving into. I got a bit fed up with it, so I ended up building this little web app called ArxivLens (https://arxivlens.com/). My main goal was to make it way quicker to skim papers and find what you're actually looking for. The big thing I added that I think is pretty useful is an AI overview feature.…
2025 · arxivlens.com
- 17IR
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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2018 · semanticscholar.org
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- 21GA
I needed a way to grab a random paper from arXiv, so I built one and wanted to share it with you. It 1) picks a random topic (of all the cs., econ., math.* etc. topics) 2) finds the maximum amount of papers in that topic, and 3) queries for a random paper in that topic. Note that this skews the distribution heavily in favor of topics that are less common, but it should get the job done. Suggestions for improvements are welcome.
2025 · jepedersen.dk
- 22SA
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
- 23IM
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
- 24TP
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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