Qingyuan Yang's profile on Product Hunt

About

Helping companies hire smarter with AI. Currently building Aural, an AI-powered interview platform that automates candidate screening through voice and video interviews. Previously: • Associate Partner @ McKinsey — Led AI transformation projects across battery, electronics, and retail industries • Data Science @ Uber — Built ML systems for efficiency improvement Education: MBA @ Georgetown, BS Applied Mathematics @ Wuhan University Technical: Software Engineering, AI/ML, Cloud Based in Hong Kong 🇭🇰 🚀 Currently in beta: aural-ai.com

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Forums

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10d ago

Aural - Open-source AI that conducts interviews for you

Aural is an open-source AI interview platform. Describe what you want to learn, share a link, and AI conducts the interview over voice, chat, or video — asking questions, following up intelligently, and generating a detailed report with scores when it's done. Built-in code editor, whiteboard, anti-cheating, resume parsing, and pluggable LLMs (OpenAI, Kimi, MiniMax). MIT-licensed and fully self-hostable.

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10d ago

reddit-skills - AI agent skills for automating Reddit via your real browser

Open-source Python toolkit that lets AI agents (Claude Code, Cursor, OpenClaw) automate Reddit through your real browser. A Chrome extension bridge communicates via WebSockets with a local Python server. No API keys or OAuth — just your normal browser session. 5 skill domains: auth, publishing, search, social interaction, and compound ops. Full CLI with JSON output. Handles Reddit's Shadow DOM web components. Python 3.11+, MIT licensed.

p/aural-2

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2mo ago

We're launching soon — what's your biggest pain point with interviews?

Hey everyone! I'm building Aural, an AI-powered interview platform that conducts structured interviews through chat, voice, and video so teams can run hundreds of conversations without the scheduling nightmare.

The idea came from a simple frustration: conducting interviews at scale is painfully manual. You schedule, you show up, you take notes, you do it again 50 more times. Whether it's user research, hiring screens, or customer discovery the process hasn't changed in decades.