AI 智能体6 days ago
aidekin: an AI assistant that runs inside your visitor’s browser
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
完整作品展
技术栈
65 projects
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
Fluxchat 是一个一站式 AI 平台，可生成聊天、图像、视频和音乐内容。
fluxchat — 一站式 AI 功能聚合网站，包含 AI Image、AI Music、AI Video、AI chatbot 等功能
AI Todo 用智能方式将目标分解为可行步骤，优化任务优先级。
AI Todo — 像很多程序员一样，我日常要兼顾工作任务、生活琐事、项目计划，时常感到事情多但漏掉的也不少。想用智能方式管理这些待办，但市面上的工具要么设计臃肿，要么 AI 能力很弱。于是我花了几周开发了 AI Todo，目标是:
用TurboLearn从学习资料生成笔记和图表。
Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站
自主AI工作空间，能研究、编码、分析数据、操作浏览器。
@WorkFarOfficial · X
AI 团队工具，帮助创作者构建和部署应用
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.
AI workspace for teams to automate workflows, chat with an assistant, analyze data, and manage projects.
@HonEmmi · X
I'm working on Neuralflow Ai It acts as an AI workspace where teams can automate workflows, chat with an AI assistant, analyze business data, summarize documents, manage projects, and collaborate from one central platform.
将对话转化为已验证的API架构和规范。
@NeuralArchitec · X
Vibe coding a smart wallet is high-stakes. One logic gap and the funds are gone. We bridge that risk by turning messy vibe thoughts into verified schemas and API maps. Build fast, stay precise. 🏛️
为创始人和销售领导者提供的 AI 驱动 GTM 策略和智能工具。
@ourideaai
快速从网站创建 AI 员工，24/7 处理聊天、来电、邮件和预订线索。
@Nathaniel148600 · X
BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.
AI招聘智能平台，评估候选人、指导招聘决策。
@adityabastawad · X
Every recruiter deserves a twin that hires the way they do.
使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db