
完整作品展
技术栈
60 projects


在空间节点画布上协作AI项目,组织语言模型上下文。
jebuehler55 · HN
I built a spatial node canvas to fix LLM context drift

通过 API 或 URL 替换将 X posts 转换为干净的 Markdown,供 LLMs 和 agents 使用
@larsbuilds · X

扫描AI提示词和端点的漏洞,实时监控生产LLM的安全性和合规。
@CognisafeUK · X

可视化语言模型在各层回答前的思考内容。
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers

AcruxCore is an LLM-ops platform for engineering teams: version prompts, route LLM calls through an OpenAI-compatible gateway, trace every request, catalog tools, and evaluate qual
@AcruxCore · X

分享链接上传收据,LLM 自动分类和整理。
jahnoikka · HN
Sorted Receipts - clients dump receipts in one link, LLM sorts them

用AI助手Codex和Grok创建和组织笔记。
@Number1AIFanboy · X
I got to go to bed. More coding tomorrow. I just had a realization that I'm building cool shit, using @grok in an app that I built with Codex and refined with Grok. And now Grok just works on himself. LFG🚀 Drop me a note here: Get the app here (use LAUNCH50):

通过统一的 API 接口访问多个 AI 语言模型。
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

查找与您硬件兼容的AI模型并查看性能和价格估计。
cdnsteve · HN
Tokenstead, find AI models for your hardware

对比LLM API价格,轻松计算月度使用成本。
u/ahmedk2002 · Reddit
I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I
