Seedream 5.0 Pro — 多模型 AI 图片工作台，支持文字生图、图片生图、复杂布局与多语言文字编辑

@timnuss · X

Trust layer for agriculture

davidtsong · HN

Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

ahmed_hassan7 · HN

CostPerPrompt – Live AI API pricing and real-workload cost calculators

@spectragai · X

@ContinuumCode · X

zizheruan · HN

XTokenChecker – Verifies model identities of your AI gateway

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/

u/12qwww · Reddit

I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •

pampas · HN

Redactle LLM Leaderboard

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

u/trekhleb · Reddit

I kept pasting the same question into ChatGPT, Claude, and Gemini in three tabs; so I built a Yes-Brainer — a council of AI models, that answer your question in parallel, debate to consensus, or get judged to a verdict. submitted by /u/trekhleb to r/SideProject [link] [comments]