Developers Turn to Custom Hardware to Monitor AI Costs in Real Time

Developers are building physical dashboards—like Hermann Bjorgvin's Clawdmeter, a small screen powered by a microcontroller—to track how much they spend on AI services like Claude. By displaying costs on dedicated hardware rather than buried in software alerts, they stay aware of expenses during intensive work. This echoes how teams first learned cloud billing years ago.