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.
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.
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.
Aural is an AI interview platform that conducts voice interviews, chat interviews, and video interviews at scale. Get automated insights, transcripts, and analytics to make better decisions.
