教育学习1 week ago
Turnitin AI Checker — Real AI Detector & Plagiarism Report
检查论文中的AI写作和抄袭，在提交到Turnitin前自查。
PaperCheck — 论文提交前自查工具，提供 Turnitin 查重 + AI 写作检测报告，帮助学生在正式提交前发现问题
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检查论文中的AI写作和抄袭，在提交到Turnitin前自查。
PaperCheck — 论文提交前自查工具，提供 Turnitin 查重 + AI 写作检测报告，帮助学生在正式提交前发现问题
30秒内用AI对任何网站进行评论分析。
cs_vertex · Product Hunt
SiteRoast AI Roast any website with AI in under 30 seconds
用你的知识创建AI数字分身，用你的声音回答访客问题。
@withmindola · X
let's go! you can build you digital twin by feeding all your content and share it with people so they can talk to your second brain in your own voice.
使用无限画布创建长篇高质量AI视频和广告。
@ApaiAIdigest · X
Just shipped: Buzzy 🔥 Tired of AI video that forgets the face mid-cut? Infinite canvas keeps subjects locked. #AI #ProductHunt #buildinpublic
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.
在可交互的时间轴上探索三个 AI 智能体的运行过程，展示规划、工具调用和故障恢复。
douvy · HN
Educational tool for understanding AI agents. Code: https://github.com/douvy/how-agents-think
BotbaseAI：无需编码快速构建并部署 AI 客服机器人
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS
用 AI 创建产品路线图、管理任务并收集功能反馈。
@jimmy_harika · X
TLDR: Notion shipped my exact app that I have using in my daily workflow from last 2 years. Try here: It got a mcp that wires to your claude code and codex. Git integration is almost complete and will ship in coming days
AI 股票预测和信号生成器，支持 backtesting 和 paper trading。
@useStockAI · X
由AI驱动的代码审查工具，在microVM中运行代码来捕获更多错误。
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
