Aural

AI conducts the interviews. You get the insights.

5 followers

AI conducts the interviews. You get the insights.

5 followers

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Hiring software

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AI Voice Agents

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AI Workflow Automation

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.

This is the 2nd launch from Aural. View more

Aural

Launched this week

Open-source AI interviews over voice, chat, and video

Aural is now open source under the MIT license. Design adaptive interviews, share a link, and let Aural conduct the conversation over voice, chat, or video, ask contextual follow-ups, and generate structured reports. Run the managed service or self-host the full Next.js, Supabase/PostgreSQL platform with Docker and pluggable LLM providers.

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Launch tags:Android•Open Source•GitHub

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

Promoted

Maker

📌

I built Aural because static question banks and chatbots do not reproduce the rhythm or pressure of a real interview. The hardest parts were real-time voice latency, transcript cleanup, and making follow-up questions feel contextual rather than scripted. This launch opens the complete platform under the MIT license, including voice, chat, video, coding and whiteboard rounds, structured scoring, reports, and candidate practice. I’d especially appreciate feedback on the self-hosting experience and the privacy boundaries teams expect around interview data. Source: https://github.com/1146345502/au...

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3d ago

Tried it on a few mock interviews and the transcript accuracy was better than I expected, especially with multiple speakers. The analytics dashboard made it easy to compare candidates side by side without digging through recordings.

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3d ago

Previous Aural Launches

AuralAI conducts the interviews. You get the insights.

Launched on March 3rd, 2026

Forum Threads

p/aural-2

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5mo 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.

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