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Products that do what arXivSub does

AI-assisted research paper searching tool

  1. 1SA
  2. 2IM

    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

  3. 3DS

    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

  4. 4AV
  5. 5

    Discover, read, write and manage research with ease using AI

    2024 · paperguide.ai

  6. 6BA
  7. 7
    Afforai558

    Collect, cite, annotate papers & research with AI

    2024

  8. 8
    Afforai390

    Summarize, interact, translate your documents with AI

    2023

  9. 9AF

    Hey HN! I've always found it hard to keep up with the latest AI research, so I built Arxiv Feed! https:&#x2F;&#x2F;arxiv-feed.vercel.app&#x2F; 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&#x2F;down-vote papers. Would love to hear any thoughts&#x2F;feedback! :D Thanks!

    2023 · arxiv-feed.vercel.app

  10. 10

    ethical, powerful AI assistant for students and researchers

    2023

  11. 11

    Your new AI research assistant with superpowers

    2023

  12. 12

    Claude takes research to new places

    2025

  13. 13

    Easily write well researched articles & academic papers

    2024

  14. 14UC

    Paste in my prompt to Claude Code with an embedded API key for accessing my public readonly SQL+vector database, and you have a state-of-the-art research tool over Hacker News, arXiv, LessWrong, and dozens of other high-quality public commons sites. Claude whips up the monster SQL queries that safely run on my machine, to answer your most nuanced questions. There's also an Alerts functionality, where you can just ask Claude to submit a SQL query as an alert, and you'll be emailed when the ultra nuanced criteria is met (and the output changes). Like I want to know when somebody posts about…

    Dec 2025 · exopriors.com

  15. 15AO

    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:&#x2F;&#x2F;github.com&#x2F;montanaflynn&#x2F;asxiv

    Sep 2025 · asxiv.org

  16. 16

    Hackernews for arXiv research papers

    Oct 2025

  17. 17TT

    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&#x2F;abs&#x2F;1706.03762 -> www.talk2arxiv.org&#x2F;abs&#x2F;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 &#x2F; mathematics, and sometimes fails…

    2023 · github.com

  18. 18AS

    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:&#x2F;&#x2F;arxivlens.com&#x2F;). 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

  19. 19

    Analyzing and visualizing data from CSV files

    2025

  20. 20A
    ArXivTok105

    I made this, and it's fully open source so if someone wants to contribute here you have the url: https:&#x2F;&#x2F;github.com&#x2F;Miguel07Alm&#x2F;arxivtok. For this project I was inspired by https:&#x2F;&#x2F;wikitok.vercel.app.

    2025 · arxivtok.vercel.app

  21. 21

    Your AI journal assistant to make journaling impactful

    2023

  22. 22

    Next-gen Research Platform

    May 2026

  23. 23AA

    Building a multi-agent system to analyze new AI research papers from 3 distinct perspectives: - Deep learning researcher agent: extract interesting deep learning methods that are related to paper - Theoretical mathematician agent: figure out theoretical mathematical concepts that are important in this paper and additional theoretical references that will be useful in understanding it - Skeptic agent: find unjustified assumptions that lack supporting evidence For this mvp, I used low-code agent platform StackAI (YC W23) and wrote about my process:…

    2024 · stack-ai.com

  24. 24AP

    After waiting 8 months for a journal response or two months for co-author feedback that consisted of "looks good" and a single comma change, we built an AI-powered peer review system that helps researchers improve their manuscripts rapidly before submission. The system uses multiple specialized agents to analyze different aspects of scientific papers, from methodology to writing quality. Key features: 24 specialized agents analyzing sections, scientific rigor, and writing quality &#x2F;&#x2F; Detailed feedback with actionable recommendations. &#x2F;&#x2F; PDF report generation. &#x2F;&#x2F;…

    2025 · github.com

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