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Life & fun · alternatives · 2026

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24 alternatives to I made a 3D visual "thesaurus" for English

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!

This project visualizes English words in three-dimensional space by converting high-dimensional word embeddings from language models into interactive 3D representations. It functions as a visual thesaurus where users… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. I made a 3D visual "thesaurus" for English launched in 2023; newer entries below may have overtaken it.

  1. 1

    I've been playing with embeddings and wanted to try out what results the embedding layer will produce based on just word-by-word input and addition / subtraction, beyond what many videos / papers mention (like the obvious king-man+woman=queen). So I built something that doesn't just give the first answer, but ranks the matches based on distance / cosine symmetry. I polished it a bit so that others can try it out, too. For now, I only have nouns (and some proper nouns) in the dataset, and pick the most common interpretation among the homographs. Also, it's case sensitive.

    2025 · calc.datova.ai · its alternatives →

  2. 23W
  3. 3IM

    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 →

  4. 4

    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 · its alternatives →

  5. 5

    Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…

    2023 · perplexity.vercel.app · its alternatives →

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    We have a dataset of 3,095 standardized AI responses across 43 prompts. From each response, we extract a 32-dimension stylometric fingerprint (lexical richness, sentence structure, punctuation habits, formatting patterns, discourse markers). Some findings: - 9 clone clusters (>90% cosine similarity on z-normalized feature vectors) - Mistral Large 2 and Large 3 2512 score 84.8% on a composite metric combining 5 independent signals - Gemini 2.5 Flash Lite writes 78% like Claude 3 Opus. Costs 185x less - Meta has the strongest provider "house style" (37.5x distinctiveness ratio) - "Satirical…

    Apr 2026 · rival.tips · its alternatives →

  7. 7WT

    2013 · jasondavies.com · its alternatives →

  8. 8IT

    Experiments in expressing statistical thinking with interactive design

    2015 · r2d3.us · its alternatives →

  9. 9WA
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  11. 11NT
  12. 12

    Transforms poems into 3D semantic trees.

    Jan 2026 · poetry3d.fun · its alternatives →

  13. 13CY
  14. 14
    Pixnary▲53

    A visual way of learning words

    2015 · pixnary.com · its alternatives →

  15. 15

    Interactive visualization of Wiktionary words and etymologies. - zifeo/Etymap

    2018 · github.com · its alternatives →

  16. 16

    Here's a small demonstration of the fundamental aspects of the word-to-vec algorithm. It's implemented in a single python script and depends only on a single text file for training. It's not meant to be blazingly fast or anything, just a toy example to aid my understanding of how word vectors might be learnt from a corpus.

    2023 · github.com · its alternatives →

  17. 17

    A visual guide for beginners

    2017 · amazon.com · its alternatives →

  18. 18

    See what words mean to AI — in 3D

    Nov 2025 · wordcanvas3d.vercel.app · its alternatives →

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    We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…

    2024 · github.com · its alternatives →

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  21. 21GO

    Small experiment of visualization of wikipedia articles as a graph using d3.js.<p>Articles with more traffic are bigger. I computed the semantic similarity using LSI with python (gensim) You have to scroll down/right a bit!<p>http://similarityapi.appspot.com/graph/?title=blade%20runner<p>There is also a JSON api: http://similarityapi.appspot.com/api/v1/?limit=100&title=blade%20runner<p>All feedback is appreciated:<p>@lucamartinetti [email protected]

    2012 · similarityapi.appspot.com · its alternatives →

  22. 22

    Hi! This is a visualization I've always wanted but never quite found. It's a navigable map of the Wikipedia link graph structure, with search and shortest-path finding. Offline, I parsed the May 2026 English Wikipedia full-text dump into a directed graph, used cuGraph on a GPU to run PageRank, Leiden clustering, and ForceAtlas2 for the layout. I did some post processing to get rid of lingering overlapping nodes and rendered a tiled map of raster base images (using Skia) and JSON metadata. Tiles are bundled into PMTiles. The frontend is Deck.gl. Everything is hosted on Cloudflare. Search and…

    Jun 2026 · tobypenner.com · its alternatives →

  23. 23LI

    2018 · languagemodels.io · its alternatives →

  24. 24CH

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