I spent about 25 years running industrial operations and kept running into the same problem:

By the time the dashboard shows something is wrong, it's already too late.

Revenue misses, backlog collapses, production slowdowns - the signals were actually in the operational data weeks earlier, but spread across CRM, ERP, and maintenance systems.

I built a dynamic system called Huckle to detect those signals earlier.

It connects to operational systems and looks for patterns that often precede operational problems - things like pipeline velocity changes, backlog compression, maintenance clustering, and service demand shifts.

The goal is to surface issues 30–90 days before they show up in traditional metrics.