inferred from GitHub
zgc hackthon
Core trick
Stores sensor time series in TimescaleDB, with a Python API serving readings to a React dashboard.
Evidence
README matched "Built with Opus 4.7": # Built with Opus 4.7: a Claude Code hackathon
README excerpt
<img src="docs/assets/banner.png" alt="ARIA" /> <br /> <div align="center"> [](https://github.com/zestones/Aria/actions/workflows/ci.yml) [](https://docs.docker.com/) [](https://www.python.org/) [](https://react.dev/) [](https://www.timescale.com/) [](https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery) </div> > In every factory there's one person who knows when a machine is about to fail — they hear it. When they retire, that knowledge disappears forever. ARIA captures it, watches the equipment, and diagnoses what goes wrong — so the one who knows is never the last. **Winner — Best Use of Claude Managed Agents** · Anthropic x Cerebral Valley "Build With Opus 4.7" Hackathon --- ## The problem Setting up industrial maintenance software costs €50k–€500k and takes six months of specialists. So most plants don't bother — they wait for machines to break. But that knowledge already exists. The operator hears the change in vibration two days before the bearing fails. They wrote it in the shift log.