Do not have any subscription anymore after ds4 flash came out. it's just feel good no need to care about some guy on twitter for the reset button or constantly checking the usage
I think Claude does this already - at least recently I've been seeing things like : "Heads up. At this pace you’ll run out Saturday afternoon, before Monday’s reset" on the usage page...
I expected a lot more such apps to appear, but it's sadly also unusable in a work environment. Eg. you can't get GH Copilot usage via API per user for organizations without admin/billing manager permissions. Also you need the amount of actual workdays left, without your holidays and vacations.
I made an own TUI dashboard that uses copilot cli (reads the output of /usage command) and gets workdays from the employee intranet site.
Splitting bursty sessions from the weekly window makes sense. For the 45-minute session projection, how do you flag when the sample is too sparse to give advice?
Why even bother with this? Just bridge the gap with DS4 for pennies, and keep working.
Do not have any subscription anymore after ds4 flash came out. it's just feel good no need to care about some guy on twitter for the reset button or constantly checking the usage
I think Claude does this already - at least recently I've been seeing things like : "Heads up. At this pace you’ll run out Saturday afternoon, before Monday’s reset" on the usage page...
Nice to have it in the menubar though.
I expected a lot more such apps to appear, but it's sadly also unusable in a work environment. Eg. you can't get GH Copilot usage via API per user for organizations without admin/billing manager permissions. Also you need the amount of actual workdays left, without your holidays and vacations.
I made an own TUI dashboard that uses copilot cli (reads the output of /usage command) and gets workdays from the employee intranet site.
Cool idea, but when I'm in the flow, slowing down isn't an option—I just swap to a backup model or buy a top-up.
Splitting bursty sessions from the weekly window makes sense. For the 45-minute session projection, how do you flag when the sample is too sparse to give advice?
Nice launch, good luck out there.