I’ve been working on and off for a few years to solve the time tracking problem for myself. I do a lot of things in a given day, and tracking granularly is quit

I’ve been working on and off for a few years to solve the time tracking problem for myself. I do a lot of things in a given day, and tracking granularly is quite hard. I’ve found I would rather just work, track it all somehow, then just bill / aggregate at the end of the week. I’ve tried rescuetime and all sorts of solutions. One of the most interesting lately is https://timelyapp.com/memory-ai https://timelyapp.com/memory-ai. That all said, I recently stumbled on a really elegant solution in http://arbtt.nomeata.de/#what http://arbtt.nomeata.de/#what. Automatic Rule Based Time Tracking. Based on what apps are open, and the title of the windows (which can expose your file paths, url, etc) I can tag times. The great part is that it’s a store everything, classify later. So I can switch classification of times if I need to slice and dice a different way for a different report. All automatic. Need to add a new project? Git clone into my tracked directory and it just starts tracking a new project based on the directory name. Pretty slick.