Alternatives
Products that do what OpenScholarXIV does
FOSS App to Discover and Research Papers
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2024 · github.com
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2017 · arxiv-vanity.com
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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
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2023 · bulletpapers.ai
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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…
2024 · papermatch.mitanshu.tech
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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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2025 · rlama.dev
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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
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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
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Understanding 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…
Feb 2026 · nowigetit.us
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Hey there! I am Luca, I write https://refactoring.fm/ and I built Tolaria for myself to manage my own knowledge base (10K notes, 300+ articles written in over 6 years of newslettering) and work well with AI. Tolaria is offline-first, file-based, has first-class support for git, and has strong opinions about how you should organize notes (types, relationships, etc). Let me know your thoughts!
Apr 2026 · github.com
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2021 · github.com
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Hi HN, We’re Brendan and Michael, the creators of Sourcebot (https://github.com/sourcebot-dev/sourcebot). Sourcebot is an open-source code search tool that allows you to quickly search across many large codebases. Check out our demo video here: https://youtu.be/mrIFYSB_1F4, or try it for yourself on our demo site here: https://demo.sourcebot.dev While at prior roles, we’ve both felt the pain of searching across hundreds of multi-million line codebases. Using local tools like grep were ill-suited since you often only had a handful of codebases…
2024 · github.com
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2023 · github.com
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2018 · semanticscholar.org
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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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