I mapped 8.5M research papers into an interactive atlas
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…
I mapped 8.5M research papers into an interactive atlas launched on July 9, 2026 with 85 votes, #490 of 24,623 launches that month and more than 95% of that year's launches.
In plain words
This project maps 8.5 million research papers from arXiv, PubMed Central, bioRxiv, medRxiv, and eLife into an interactive visual atlas. Researchers can click on paper dots to access summaries, key findings, peer reviews, datasets, code, and linked information like genes, proteins, diseases, drugs, and clinical trials in one place. The tool aims to eliminate the need to jump between multiple tabs when researching scientific papers.
written from the facts on this page · September 2026
From the sources
Tomesphere makes every arxiv paper readable. The free Chrome extension adds a side panel on arxiv with TLDR, OpenReview reviewer feedback and scores, GitHub and Hugging Face links, conference videos, the citation graph, and a semantic neighbor graph from SPECTER2 embeddings. Or browse 3 million papers directly at tomesphere.com. No signup, no payment. Built for researchers, ML practitioners, and anyone tired of scrolling 12-page PDFs to figure out what a paper actually does.
The map of human research — pick a field, see where the work is most active, drill into sub-clusters.
In the maker’s words, at launch
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…
Does a similar job
all alternatives →- IMI made a website to semantically search ArXiv papers2024 · papermatch.mitanshu.tech · ▲324
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…
I mapped HN's favorite books with GPT-4o2024 · hnbooks.pieterma.es · ▲285Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…
Now I Get It – Translate scientific papers into interactive webpagesFeb 2026 · nowigetit.us · ▲305Understanding 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…
- RHResearch Hacker News, ArXiv & Google with Hierarchical Bayesian ModelsOct 2025 · sturdystatistics.com · ▲85
Hi Hacker News! I’m a Bayesian statistician that has been working on applying hierarchical mixture models (originally developed for genomics) to structure text data, and in the process, used these models to build (what started as a personal) tool for conducting literature reviews and deep research. My literature review process starts with a broad search to find a few key papers/groups, and from there expands along their citation networks. I needed to conduct a few rounds of literature reviews during the course of my research and decided to build a tool to facilitate this process. The…
I put PubMed in a vector DB2024 · pubmedisearch.com · ▲97Hi HN, As a researcher, I often found myself struggling with the limitations of keyword-based search when exploring PubMed papers. To address this, I created PubMed Search (https://www.pubmedisearch.com/), a tool that leverages a vector database to enable semantic search across medical research literature. Some key features: * Daily updates to ensure access to the latest articles * Semantic search using latest & greatest embedding models * Some additional useful info about the papers (tldr, journal, publication date, etc.) Hope you find it useful!
Embedding Atlas2025 · apple.github.io · ▲150Hey HN, we're happy to release Mycelium, a JavaScript library for creating graph visualizations of machine learning models or any other directed acyclic graphs. Mycelium powers the graph viewer of the Talaria [0] a research model visualization and optimization system, which was used to optimize the efficiency of Apple Foundation Models [1]. Everything works entirely on the client-side in the browser — we provide a rudimentary ONNX loader out of the box, which you can try by dragging model files into our website. It is also simple to define loaders for your own model formats. The library was…
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