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Track, visualize, and compete on AI coding assistant token usage across Claude Code, Cursor, OpenCode, Codex, Gemini, Kimi, and Qwen. The Kardashev Scale for AI Devs.
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个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权，自行管理介绍，无需管理员批准。
登录并生成验证文件，在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件，即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录，将前往登录页面。登录后请回到此处，再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify，即可验证所有权并自行管理介绍。
一分钟完成验证制作者的介绍仅有上面的一句话。 更多详情请阅读仓库 README。 仓库 README ↗
正在加载完整 README。
查看完整 README ↗A UMAP map that grows as data arrives, in the browser on WebGPU. New items (Bluesky posts, Wikipedia edits, Nostr notes, Hacker News items) are embedded in the browser and placed beside their nearest neighbours on the existing map as they arrive; static datasets (aviation safety reports, wine reviews, exam questions, papers, dog photos, tables) are fitted as one map, can be rewound on their timeline and played forward.
Open index.html (GitHub Pages). Needs a browser with WebGPU (Chrome or Edge on desktop).
?source= picks a dataset: asrs, wine-reviews, vispubdata, medmcqa, SuperGPQA, ScienceQA, imagewoof, movies,
census-income, california-housing, or a live feed (wikipedia, nostr, hackernews); none = live Bluesky.static-data/ holds the ASRS reports (public NASA ASRS synopses, labelled as in the aviation safety dashboard) and
precomputed vectors (MiniLM, BGE and GTE text, DINOv2 and CLIP images, float16) and each model's finished map for the
hosted datasets; the tables themselves are read
from Hugging Face and the other hosts the Embedding Atlas examples use.This repository is a build output of the research code (streaming-umap, browser_jetstream/build_site.py); edit there.