
完整作品展
技术栈
60 projects


用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

AI平台,提问、生成图像、语音交互,辅助更好的决策。
@Akinzoooo · X

存储提示词和背景信息,通过 MCP 让 Claude Code、Cursor 等 AI 工具共享访问。
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

自动将提示词路由到最便宜的模型,节省API成本。
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

从URL或描述生成SaaS启动视频,60秒内完成AI优化编辑。
@VanillaSkyAI · X
is like Lovable for video. Paste a URL, get a launch video, chat to edit, post 🎬 Here's one I made in minutes 👇

用AI生成的英雄部分和动画背景快速创建高转化登陆页面。
@yeasindesign · X
Beautiful prompt library

用AI为您设计个性化的永续农业宅基地蓝图。
@oaZsxer · X
Cheers mate. Built this.

诊断你在技术领域的知识空白,获得个性化AI学习计划。
u/safi1409 · Reddit
I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act


在 OpenAI、Gemini 和 Anthropic 间路由 LLM 请求,优化成本并满足延迟要求。
Aperswal · HN
Made a Free LLM Router

分析拉取请求以理解变更,区分重要改动与琐碎修改,识别潜在回归。
logphase · HN
I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t