AI · alternatives · 2026
24 alternatives to Paper Radar
What 28 AI labs published on arXiv, over any date range
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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2023 · bulletpapers.ai · its alternatives →
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Paperguide▲645Discover, read, write and manage research with ease using AI
2024 · paperguide.ai · its alternatives →
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Open Paper▲289Hi HN! Open Paper allows you to annotate and understand your research papers with an AI copilot. I wanted a paper-reading assistant that let met actually dig into papers in-place while benefiting from AI tooling. When it comes to studying, I'm not a fan of the typical chat interfaces that obfuscate uploaded files and turn them into black box 'content'. Hence, I've implemented a split-pane view. To mitigate the risk of hallucinations, all AI responses come with grounded citations that refer back to the source material in-flow. Some feature highlights: - Actually read your papers in one place…
2025 · openpaper.ai · its alternatives →
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Cognoska▲17Since August I’ve been running a scoring system that tracks and ranks every new AI-related paper published on arXiv. The goal is to detect genuine research events, things that move the field forward and filter out the usual noise and unsubstantiated uploads. Each paper gets evaluated through a scoring algorithm. The system then stores embeddings with structured fields like problem, approach, solution, and result for later retrieval. Search runs on a hybrid model: it combines semantic embeddings with metadata like title, topic, author, and extracted keywords. Queries return the most relevant…
2025 · cognoska.com · its alternatives →
- 5AF
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 · its alternatives →
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Lattice▲12Every breakthrough, every lab, every day. Track what OpenAI, DeepMind, Anthropic, and 17 other top AI labs are publishing - with AI summaries, trend charts, and a weekly digest.
Feb 2026 · layerthelatestinalattice.com · its alternatives →
- 7IM
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 · its alternatives →
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OpenScholarXIV is an open-source, aesthetic, minimal and AI powered app that allows users to search, read, bookmark, share, download and view summaries of academic papers from the arXiv repository. - ScholarXIV/OpenScholarXIV
2024 · github.com · its alternatives →
- 9AO
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
2025 · asxiv.org · its alternatives →
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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 · its alternatives →
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Reference▲81Local file search with citations for AI agents. No cloud uploads.
Aug 2026 · tryreference.com · its alternatives →
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Hi HN, Would love your thoughts on Open Paper Digest. It’s a mobile feed that let’s you “doomscroll” through summaries of popular papers that were published recently. Backstory There’s a combination of factors lead me to build this: 1. Quality of content social media apps has decreased, but I still notice that it is harder than ever for me to stay away from these apps. 2. I’ve been saying for a while now that I should start reading papers to keep up with what’s going on in AI-world. Initially, I set out to build something solely for point 2. This version was more search-focussed, and…
Dec 2025 · openpaperdigest.com · its alternatives →
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Read 500+ AI papers without reading 500 papers.
Apr 2026 · airesearchlab.space · its alternatives →
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Popularity scoring for arXiv publications. GitHub Gist: instantly share code, notes, and snippets.
2015 · gist.github.com · its alternatives →
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The AI papers that matter — scored, summarized, delivered
Apr 2026 · ramitsharma94.github.io · its alternatives →
- 16IR
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 · its alternatives →
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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 · its alternatives →
- 19RA
2018 · semanticscholar.org · its alternatives →
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Unofficial bot that publishes daily articles from arXiv
2021 · t.me · its alternatives →
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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 · its alternatives →
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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 · its alternatives →
- 23TA
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 · its alternatives →
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