
AI Career Intelligence Platform | Alviora AI
Alviora AI is an AI career intelligence platform for students, graduates and professionals. It supports career discovery, career planning, learning guidance and interview preparati
@abrar1chauhan · X
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Alviora AI is an AI career intelligence platform for students, graduates and professionals. It supports career discovery, career planning, learning guidance and interview preparati
@abrar1chauhan · X

交互式3D星舰飞行与月球任务模拟器
@julian_le_roux · X
I'm vibe-coding a Starship flight simulator, and Grok correctly labelled the Gulf of America as the location of the booster splashdown 💪🏻🦅

Company Brain and AI OS for companies.
@VMS2907 · X
Get your office to get meaningful output from AI -

描述创业想法获得AI分析评估,开发前了解可行性。
@fajarhide · X
I'm still building it's a workspace for test ideas before building products, so you don't spend weeks on something nobody wants.

AI-powered tool that helps engineering teams understand, navigate, and modernize legacy codebases.
@ffteema · X

在Claude、ChatGPT、Gemini等AI工具间共享项目背景,避免重复解释。
shashank_shekhar8 · Product Hunt
Confluo Shared Memory for every AI tool you use

The AI Visibility and AI Customer Support platform. Get cited in ChatGPT, Gemini, Perplexity, and Claude, then answer every question that follows, 24/7.
@thevedp · X
AI Visibility:

Genesis OS是一款AI副驾驶生态系统,协助您完成生活和工作各方面的任务。
@GenesisAIApps · X
A smart AI copilot ecosystem for life, work, and beyond the stars.

AI接口的动画思考球组件,具有六种状态和自动主题。
@MengTo · X
These will instantly make your vibe-coded projects look less generic. Free, open-source libraries from the same creator: • • •

为AI代理提供托管服务,支持持久工作空间、记忆和自动备份。
@hijak01 · X
check out the demo

多人设计画布,让人类与 AI 代理实时协作创作。
kgoedecke · GitHub
doop The open-source alternative to Paper.design. A multiplayer design canvas where humans and AI agents design together, live. MCP built in.

为 Vue 和 React 设计的组件系统,让 AI 编程助手始终遵循你的设计规范。
pedrobalsadev · HN
I built Balsa UI because I was getting frustrated with coding agents not being able to consistently follow a design system. It usually worked fine at the beginning of a project, but as the project grew, things started to drift. The same happened when I had different projects using the same design system: I kept having to explain the same rules again, and the results were never quite consistent. Most design systems are still built around the idea that a developer reads the docs, understands the r