- Uses multiple devices as distributed microphones for acoustic triangulation
- Supports QR onboarding, calibration and cross-session frequency memory
- Demonstrates AI coding assistants shipping practical utility tools fast
AI CURATED HOT STORY · 11/10/2026
Developer Builds Multi-Device Beep Locator with Claude Code
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.
Hourly heat curve
5 fully observed hoursThe line compares only sources observed throughout; gap hours are interpolated to keep the trend continuous.
Coverage timeline
Total 2 reports · Latest first- Hacker News AIT2·58 pts
- Simon Willison 博客T2·58 pts
- Uses multiple devices as distributed microphones to triangulate a sound source
- Claude Code handled the full build from design to implementation
- Supports calibration, test beeps and cross-session memory of confirmed frequencies