
Kling Motion Control - AI Motion Transfer with Kling 3.0
使用参考视频的动作将静态图像转换为动画。
Kling Motion Control — AI Motion Transfer with Kling 3.0
完整作品展
技术栈
24 projects

使用参考视频的动作将静态图像转换为动画。
Kling Motion Control — AI Motion Transfer with Kling 3.0

拖动方框体验Flexbox布局引擎的推断过程。
drzivil · HN
Drag boxes around and watch a layout engine infer the Flexbox (no AI)

用阿拉伯语、乌尔都语和英语探索《古兰经》中的每个词汇及其频率和出处。
@opismutiny_ · X
been vibe coding this quranic word explorer a small tool to explore every word of the holy quran with arabic, urdu & english meanings, roots, lemmas, frequency, ayah references, recitation, bookmarks, memorization, notes & progress tracking.

阅读 Paul Graham 散文集,享受中英文对照版本。
@imwsl90 · X
今日 vibe coding 进展 我今天做了一个通用的 widget 功能,如下图: 把我的一些服务打包成一个 widget.js,这份代码可以部署到任意网站,只需要粘贴到网站就能展示 如果有人想购买直接加我微信就好了(估计人不多) 演示网站: 系统网站是: 不过目前只有我自己的 gmail 可以登录,还未对外开放

将AI生成的文本转化为自然人类语言,支持语法检查、检测和SEO优化。
@RohanAhmed06 · X
🚀 Built Humanely. An AI writing toolkit with: • AI Humanizer • AI Detector • Grammar Checker • Text Summarizer • SEO Tools I'd love your honest feedback 🙌

预提交钩子,在提交前检测AI生成的冗长防御性代码。
@iampeersky · X
is blazingly fast LLM generated code slop detector & clean up cli tool that installs as git pre-commit hook to save your git history from sloppppp

与AI聊天讨论crypto markets、wallets、tokens、新闻和airdrops,配有实时数据图表。
@FlateAI · X
We've just launched!

可嵌入的可视化工作流编辑器,支持AI驱动或纯逻辑设计。
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t


从评价提取真实客户语言,排序为广告角度和钩子
@buildingadlicio · X

接收加密支付直达钱包,无需托管,资金即时到账。
@QBitFlowApp · X
— the worst part of shipping is getting paid, so we make crypto payments as simple as a card, but the money hits your wallet instantly and stays yours (no processor sitting on your funds). Would love your feedback 🙏

在GitHub pull requests上自动生成代码文档。
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests