Developer Tools2 days ago
AI Hardware Fit — 내 GPU에서 돌아가는 AI 모델 찾기
Check which LLMs run on your GPU given your hardware specs and budget.
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jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"
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Check which LLMs run on your GPU given your hardware specs and budget.
jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"
Self-hosted LLM control plane for managing API gateway traffic across providers like LiteLLM and Bifrost.
siva_prakash_kumar · Product Hunt
Agnos LLM gateway Contain LiteLLM, Bifrost, Portkey.. behind one control plane
Multiplayer design canvas where humans and AI agents create and design together in real-time.
kgoedecke · GitHub
doop The open-source alternative to Paper.design. A multiplayer design canvas where humans and AI agents design together, live. MCP built in.
Remove invisible watermarks and token-sampling patterns from AI-generated text.
yasir-mo · GitHub
AI-watermark-remover-GUI Tool to remove AI watermarks. It's tested for Claude text watermarking and is model agnostic and can be used to remove algorithmic watermarks.
Compare how different AI models generate frontend code and view accessibility scores.
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. •
Free math curriculum featuring 20 lesson plans, printable packs, and 19 browser games for ages 7–8.
@iamjoshknox · X
This is very cool - I'm starting a math circle at my son's school this year. I vibe coded some teaching instructions for it here:
Get grounded answers by voice with live source traces.
@MuditM_ · X
Just shipped my Voice RAG project for Hacker House Goa ⚡ Grounded answers with live source traces. Check it out: #AI #BuildInPublic #RAGInGoa
Create and animate custom robot avatars with shapes, colors, and expressions; export as PNG, GIF, SVG, or video.
@ygjc_cc · X
最近被这个超治愈的纯 SVG 动态机器人头像迷住了！✨ 我把它部署在cloudflare pages上了，已经上线了 👉 不仅完全还原了 / Grok 头像那种丝滑的流体形态变换，功能还超丰富： 🎨 8 种形态 + 12 种配色 + 16 种表情随心搭配 🎬 内置可视化时间线，自由编排 14 种动作序列 📦 一键免费导出矢量 SVG、高清 PNG、动态 GIF 甚至是 MP4 视频！ 🔒 100% 纯本地浏览器计算，零数据上传 我的开源仓库： 原作者开源仓库： 原作者致敬：@worlz_ 快来捏一个属于你自己的专属动态头像吧！👇 #开源 #前端 #WebDev #SVG #Grok #AI
Play and learn Guandan with AI training, voice coaching, and online 4-player multiplayer.
@mereithhh · X
做了一个开源的掼蛋 AI 陪练：GuanDan Lab 🃏 15 分钟学规则，支持本地 AI 对局、在线四人大厅、LLM Agent 队友/对手、九宫格记牌训练、完整复盘和多角色中文语音。手机也能直接玩。 Demo： GitHub：
Navigate hiking trails with accurate ETAs and keyboard shortcuts.
@abd_ulll16 · X
Just shipped Crestr v0.2.12 Here's what's changed: - Improved keyboard navigation and shortcuts - Much more accurate ETAs - Clearer error messages Check it out at #OpenSource #BuildInPublic #HikingApp
Convert GoodNotes archives to SVG, PDF, and JSON formats using 100% local processing.
Kaih1825 · HN
Hi HN, I'm the author of this project. I built this because I wanted my handwritten notes to truly belong to me—free to be migrated to other apps instead of being locked inside the proprietary Goodnotes ecosystem. To be honest, I have absolutely no background in reverse engineering or binary file parsing. I built this almost entirely through "vibe coding" (using LLMs as my pair programmers—mainly Gemini Pro/Flash, and occasionally Claude Sonnet). My ultimate goal is to unlock .goodnotes files so
Program drones with TypeScript to automate farming tasks in this MCP-supporting puzzle game.
crispyfish · V2EX
新型 Agent 斗蛐蛐: 一个支持 MCP 的编程农场游戏 ~~不用下载，点击即玩：~~ https://robofarm.1037.games 本意是想做一个给人类玩的编程游戏，但发现加入 Agent 支持后并没有削减他的乐趣，于是全量开放源代码、MCP 和各种文档，与群友小范围测试发现效果非常好，遂分享（ 游戏需要通过 Typescript 给无人机编程，使其可以自动化种植、浇灌、收割农作物，大概长这样：  单人模式下，游戏总共持续 500 个回合，每一回合由代码执行决定无人机需要做什么操作（种植，浇灌，etc. ），最终赚取的金钱作为总成绩计入排行榜。 由于地形、农作物属性、无人机操作对赚钱效率均有影响，因此需要一套复杂的决策机制，以取得更高的分数。 在这一点上，Agent 展现出非常强大的潜力；同时，在搜索最高效率方案时，不同 LLM / Harness 的能力也可以从中反映出来。~~目前测试中，Gemini 表现是