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Tech stack
60 projects
Play Werewolf or Mafia against AI players and benchmark language models.
@jeremy_d_w_90 · X
做了一年多，Mentiss AI 狼人杀终于上线了 🐺 现在可以拉上朋友，和 AI 同桌发言、推理、互骗。 来玩一局： #AI狼人杀 #MentissAI
Benchmark local coding models on consumer hardware to measure accuracy, latency, and throughput across 27 tasks.
u/Unfair_Association89 · Reddit
I built a reproducible benchmark for local coding models (Ollama, 27 tasks, live leaderboard) ran it on my 8GB card, here's what I found I kept eyeballing "vibes" to decide whether one quant of a coding model was actually better than another on my machine, so I built Sakura to get real numbers instead. What it does: - Points at any Ollama model and runs it through 27 hand-curated tasks: codegen, bugfix, SQL, refactor, systems design, protocol implementation, and terminal-agent episode
Compare AI language models by performance across official benchmarks.
fcten · V2EX
做了一个大模型 leaderboard 网站 最近一个月 CodeX 疯狂送重置，token 根本用不完，顺手做点东西。 地址：[知行录]( https://leaderboard.cn/) 排行依据主要为模型官方基准测试成绩。非主观排名。 数据会持续更新。如果有点用，欢迎各位 v 友收藏～
Compare AI coding models on real tasks with live previews, cost tracking, and ELO rankings.
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.
Translate text with multiple AI models simultaneously and compare results side by side.
orion1 · V2EX
vibe conding 撸了两个工具。 都是自己经常再用的 1 ，翻译站，模仿的 deepl ，主要是翻译网站只给一个翻译，有的时候未必是自己想要的那个，这个能调用多个模型都翻译一遍。 https://translate.v8ce.com/ 2 ，音视频处理工具，不上传数据，只调用浏览器能力。有的时候想简单裁切一下视频，压缩或者加速，打开大型处理软件有点太重了。 https://video-tools.v8ce.com/
Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
Access multiple AI language models through a unified API interface.
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil
Discover which local AI models your machine can run with verified benchmarks.
@Carl0sFelipe · X
Just shipped — a tool that helps you discover which local AI models actually run on your hardware, with community benchmarks, quantization support, and estimated speed. Building in public from here. #BuildingPublic #AIDevelopment #rust #benchmaks #aimodel
@lightsilver323 https://t.co/jorheojhTQ https://t.co/SPHoe5QNpk https://t.co/KpJkSm4Pxr Hugging Face🤗: we upload our models and datasets. RMCMMK-Bench : our benchmark for Reasoning
@compiwer_ai · X
Hugging Face🤗: we upload our models and datasets. RMCMMK-Bench : our benchmark for Reasoning Math Coding Multilingual Moroccan Knowledge.
View and compare public opinions and benchmark ratings for leading AI models.
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi
Test small language models (8M-13M parameters) in your browser that work offline.
u/Live_Confusion_3003 · Reddit
I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.
Interactive playground for exploring how language models interpret and process text.
belluxx · HN
Nanointerpret – LLM Interpretability Playground
