arXivMax
I have a bad habit of bookmarking arXiv papers and never getting around to them. So I built arXivMax to make it easier to go through them. Think 3Blue1Brown-style video explainers (it uses the same OSS Manim engine underneath for the visuals: https://github.com/manimCommunity/manim) generated for any arXiv paper. No, this isn't to replace paper reading entirely, but it's a great passive listen in the background while you're vibe-coding/tokenmaxxing/washing the dishes. Here's one on the 2020 DDPM paper that popularized the Diffusion architecture:…
arXivMax launched on July 23, 2026 with 8 votes, #2,235 of 24,623 launches that month and more than 90% of that year's launches.
What it does
arXivMax turns research papers into animated video explainers. Add “max” after “arxiv” in any arXiv URL, press Generate, and watch. Built for researchers and engineers who want a fast first pass before deciding where to read deeply. Works great as a passive listen for building intuition on the latest research in AI, Physics, and Math.
5-10 minutes long 3Blue1Brown-style video explainers that ease you into the latest papers. Build intuition on the state-of-the-art research as you tokenmaxx your way to AGI.
In the maker’s words, at launch
I have a bad habit of bookmarking arXiv papers and never getting around to them. So I built arXivMax to make it easier to go through them. Think 3Blue1Brown-style video explainers (it uses the same OSS Manim engine underneath for the visuals: https://github.com/manimCommunity/manim) generated for…
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…
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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!
ekoAcademic – Convert ArXiv papers to interactive podcastsOct 2025 · wadamczyk.io · ▲53
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