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toolsHEAT 26.3°

AI CURATED HOT STORY · 11/10/2026

Developer Builds Multi-Device Beep Locator with Claude Code

2 reports archived2 independent sourcesupdated 11/10/2026, 08:10:46
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Renowned developer Simon Willison has built an open-source tool called Beep Locator using the AI coding assistant Claude Code. The tool turns multiple phones, tablets, and laptops into distributed microphones to triangulate the source of intermittent beeping sounds in a room. This case demonstrates the practical capability of AI coding assistants in rapidly building useful multi-device collaboration tools.

The workflow is lightweight: users scan a QR code to quickly connect multiple devices, then perform calibration and test beeps to ensure synchronization. The system also remembers the confirmed 3345 Hz frequency across sessions, avoiding repeated identification. Claude Code independently handled the entire development process from design to implementation, showcasing the value of coding agents in real-life gadget development.

While it solves a minor everyday annoyance, the significance lies in validating AI's ability to handle complex tasks like multi-device coordination and real-time signal processing. For the developer ecosystem, it signals that more creative ideas can be quickly turned into usable open-source projects, further lowering the barrier to tool development.

LATEST/Simon Willison detailed the development process on his blog and open-sourced Beep Locator's code. The tool now supports QR code onboarding, multi-device calibration, and cross-session frequency memory, currently identifying 3345 Hz beeps. The community response has been positive, viewing it as a prime example of AI coding assistants in practical scenarios.

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