Alternatives
Products that do what 10K English words traced to 4 foundations(Space, Time, Energy, Pattern) does
Think of each concept as sitting in a cloud of related words and ideas. The atlas keeps only the load-bearing connections — the simpler ideas you'd need to understand it first. Follow those edges down and every concept lands on one of four foundations: Space, Time, Energy, Pattern. The depth of that chain gives you a rough sense of where the concept sits in the emergent hierarchy. Search here : https://emergencemachine.com/atlas/search You can also compare two concept's graph, see what they have in common- https://emergencemachine.com/atlas/distance…
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I built this project as a way to learn more about NLP by applying it to something weird and unsolved. The Voynich Manuscript is a 15th-century book written in an unknown script. No one’s been able to translate it, and many think it’s a hoax, a cipher, or a constructed language. I wasn’t trying to decode it — I just wanted to see: does it behave like a structured language? I stripped a handful of common suffix-like endings (aiin, dy, etc.) to isolate what looked like root forms. I know that’s a strong assumption — I call it out directly in the repo — but it helped clarify the clustering. From…
2025 · github.com
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I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web. It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up. Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful. Live demo: https://yandori.io/news-flow/
Nov 2025 · yandori.io
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Just a fun toy I wanted to make. I've been studying and playing around with language models lately and have always been intrigued by how words are processed by these models. Since the vectors generated by embedding models is in very high dimensional space, I thought it would be cool to reduce them to 3D vectors and visualise them myself. This is what I have so far!
2023 · seesaurus.com
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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
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Hi HN! I made a tool that autogenerates simple, high-level explanations of concepts and organizes them in a somewhat university course-like structure so that it's easier to see how things are structured. Currently it has about 20,000 concepts on a range of topics but that's just what I generated so far, it should work with more obscure topics in the future. I love learning about random topics where I don't have a good background in like history or linguistics, but it's hard to figure out what topics there (you don't know what you don't know) are in certain fields and what they are even…
2023 · platoeducation.ai
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2024 · app.airtrain.ai
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Hey HN! Over the weekend (leaning heavily on Opus 4.5) I wrote Jargon - an AI-managed zettelkasten that reads articles, papers, and YouTube videos, extracts the key ideas, and automatically links related concepts together. Demo video: https://youtu.be/W7ejMqZ6EUQ Repo: https://github.com/schoblaska/jargon You can paste an article, PDF link, or YouTube video to parse, or ask questions directly and it'll find its own content. Sources get summarized, broken into insight cards, and embedded for semantic search. Similar ideas automatically cluster together. Each…
Dec 2025 · github.com
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2015 · worddiagram.com
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Hi HN! I’ve spent the summer of the past 2 years building The Atlas, a procedural universe simulator that generates 1 sextillion galaxies (10²¹) from a single mathematical seed. Think No Man’s Sky meets theoretical physics, but running entirely in your browser. Everything is purely deterministic, the universe is calculated from SHA-256 hashed seeds using the golden ratio as primordial constant. There’s no database, no pre-saved data, just pure math. Time itself is treated as a coordinate, so the universe exists as a 4D structure where any moment can be computed on demand. Shut it down for…
Sep 2025 · github.com
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Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!
Jun 2026 · atomprophet.io
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Build First Brain now : Meta-Thinking & Writing in Notion
Mar 2026 · notion.com
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I built a daily word association puzzle where you engage in a quiet, collaborative mind meld with AI. I'd love to have folks try it out and tell me what they think! Here's how it works: 1. Enter your first word to reveal the AI's word of the day. 2. Don't think too hard about it. It's just a starting point. 3. Both of you think of a word that connects the two. 4. To win, you need to say the same word. 5. You have 8 guesses to converge. 6. Need a hint? The AI will drop a riddle in your final two guesses. HOW DOES IT WORK? After the user_word + ai_word are submitted, I trigger two separate LLM…
2025 · convergegame.com
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Hey HN, I'm Taylor and today I'm launching Lexical, a language learning app that actually works by teaching the 5,000 most common words in the target language. Spaced repetition is how I've learned Spanish, French, and Italian in the last 3 years and I couldn't find tools that have the languages that I want to learn in the future, so I built Lexical. The link goes to my White-Paper describing the language learning philosophy behind Lexical if you just want to try it out you can click "Get Started" at the top of the page. To really experience Lexical at it's best you'll need an account (sorry…
Nov 2025 · lexical.app
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Jun 2026 · nikitph.github.io
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A free topographic map of the latest 10M+ research papers
May 2026 · globalresearchspace.com
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I built this after noticing that existing tools for comparing constitutional law either have steep learning curves or only support keyword search. By combining Gemini embeddings with UMAP projection, you can navigate 30,828 constitutional articles from 188 countries in 3D and find conceptually related provisions even when the wording differs. Feedback welcome, especially from legal researchers or comparative law folks. Source and pipeline: github.com/joaoli13/constitutional-map-ai
Apr 2026 · constitutionalmap.ai
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