Most cloud sustainability tools are built for sustainability officers. They pull three-month-old billing data, run it through a proprietary model, and produce a PDF that engineers never see. By the time you know your us-east-1 cluster emits twice as much as us-west-2 would have, it's been running for a quarter. The architecture is locked in. The carbon is already burnt. The only moment you can act
Maybe recognition is less about detached labels than it is about where something is, what surrounds it, and how that context gets reinforced. That is what pushed me to build this repo. I wanted a smaller problem that still felt close to the thing I cared about. The question that kept pulling me back was whether location and context are a big part of knowing something at all, and whether they help