
Wensity UI | Premium Components, Blocks and Templates for React and Next.js
探索 React 和 Next.js 组件库、区块和模板。
@Ksparth12 · X
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探索 React 和 Next.js 组件库、区块和模板。
@Ksparth12 · X

使用Peekaso的AI分析研究iOS应用创意、关键词和竞争对手。
@ValidateYourApp · X
👀 Validate your app, research and compare keywords with AI analysis. Free to try! 🚀

在浏览器中运行的私密AI助手,支持语音和文本。
stfurkan · HN
Show HN: I wrote a 1-bit WebGPU runtime to run a 1.7B LLM in the browser

上传聊天记录,与学会模仿该人聊天风格的AI助手对话。
@THISWORLDT67202 · X
I did build , that mimics and learns the pattern of the persons chat you want to chat with, just upload and it will act or talk/chat just like the person :) WhatsApp like ui and everything also a very great response till now ;)

AI人脸识别签到、智能推荐和WhatsApp更新的活动管理平台。
@AbhinavtejR · X

捕获UI元素及其代码上下文,与AI代理分享以调试视觉缺陷。
Loerei · HN
I found that describing where a broken UI is and taking screenshots for AI agents really sucks. I’m too lazy to explain an indescribable visual bug or capture a millisecond-long flash. I also don’t want to remember which file defines an element, whether it's right in the .tsx or a problem with the Parent Styles in .css. And even if you can point out the exact file, your agent still has to dig through thousands of lines of code to know what on earth you're yapping about. In a 7700-file monorepo like Cal.com, simply giving the right file in the prompt for your agent saves about 68.9% of execution time and 94.2% of the tokens your agent needs to digest. HoverSource gives all the needed information and further pushes it to -88.5% time and -94.5% tokens, basically skipping the entire digging session and jumping straight to reasoning and executing. The save is linear to how big your codebase is. I want to save tokens, but don’t want to spend my time and energy digging manually, and a junio

AI 代理在 WhatsApp、Instagram 和网站上自动为企业完成销售。
@Aakashroy32 · X



MitrHub:匿名聊天平台,实时与陌生人交流。
@Mitrhub_06 · X

选择YouYoga的瑜伽课程级别,获得详细步骤和语音指导。
@shivanshsh1823 · X
you yoga a day - to - day workout routine for yoga