Washing machine monitoring

Back in my student days, I received an old washing machine – and instead of just doing laundry, I wanted to understand how it actually worked. So I built WashPi, a Python/Django application that connected to a wireless power socket, tracked the energy consumption, and visualized every single washing cycle.

What started as a curiosity project quickly became a deep dive into washing machine behavior:

Which programs consume the most energy?

How do individual wash phases differ in power usage?

Can we map and predict the “life” of a laundry load?

WashPi provided those answers, with clean dashboards and data visualizations. In hindsight, it was less about laundry and more about a passion that still defines my work today: combining data, technology, and real-world processes in meaningful ways.

And yes – it also reminded me that even a washing machine has a workflow. Today as a CIO, I like to think I just moved from laundry cycles to enterprise IT cycles – but the mindset stayed the same.

See a Demo at: washpy.bombeck.io