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Alternatives

Products that do what The Global Research Space does

A free topographic map of the latest 10M+ research papers

  1. 1NI

    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

  2. 2IM

    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…

    Jul 2026 · tomesphere.com

  3. 3
    SciSpace404

    Your AI assistant to discover and understand research papers

    2022

  4. 4
    500 Earth192

    500 Startups. Mapped.

    2017

  5. 5IM

    Hey 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…

    2024 · hnbooks.pieterma.es

  6. 6

    Discover, annotate, write and share scientific research.

    2016

  7. 7

    A web publication showcasing empirical research and data

    2016

  8. 8

    Discover data and insights from 600+ product professionals

    2022

  9. 9LW

    Hi HN, I made a web game to practice country locations a while ago and HN liked it, so I thought I'd post my updated version as well. As for how the game works and feels, I'd really recommend you checking it out for yourself, it's free, no signup, no ads. The tech stack is Vue + ts + Tailwind/Daisy for the looks. The learning algorithm is a slight modification of the ts version of FSRS. If you have anything to add, it's open source as well (https://github.com/koljapluemer/learn-worldmap), although not well documented yet. In the end it's just a little sideproject,…

    2025 · map.koljapluemer.com

  10. 10IM

    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

  11. 11

    A Linux desktop in the cloud built for Machine Learning

    2016

  12. 12
    Prism175

    A free, LaTeX-native workspace for scientists

    Jan 2026

  13. 13UD

    We can now build drastically higher quality search because we can use LLMs in algorithms that mimic a human's systematic research process, instead of just roughly recommending results based on semantic embeddings or term frequency. We built a deep search LLM pipeline that takes a few minutes to carefully search all the scientific literature. You describe your complex goal, as you would to a colleague. Then, we carefully search 200M+ papers. We classify the preliminary results with GPT-4. We then adapt the search goals based on relevant/irrelevant papers uncovered and continue searching,…

    2024 · undermind.ai

  14. 14

    Desktops in the cloud, now launched and great for teams

    2016

  15. 15GA
  16. 16

    140 character summaries of interesting research papers.

    2015

  17. 17
    Litmaps87

    A visual workspace to discover and create quality research

    2022

  18. 18

    A tediously accurate scale model of the solar system

    2014

  19. 19SC
  20. 20EZ
  21. 21

    An interactive visualization of the universe

    2019

  22. 22
    Postpace125

    Productivity platform for writers, bloggers & teams

    2020

  23. 23
    Base5

    Know where research is quickly and reliably.

    Nov 2025

  24. 24GG

    Hi HN, I've been working on a project to address a challenge I faced in the space industry: finding reliable and comprehensive information about satellite ground stations. It often involved piecing together data from scattered sources, which was time-consuming and inefficient. So, I built the Global Ground Station Database (www.find-gs.com). It's a free, searchable directory of over 650 ground stations worldwide, with locations mapped and key details included. The database is built with [Python + React]. We're focused on data accuracy and completeness, and we're constantly adding new…

    2025 · find-gs.com

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