[onejgordon]

This started out as a learning project (objective: collect a bunch of my personal data, connect it with BigQuery, and play with regressions in TensorFlow), but I've found it useful in the last 2 months of usage to outsource memory for the purpose of tracking tasks, goals and projects, on multiple time scales.

There are plenty of habit trackers out there, obviously, so this has really been an exercise in figuring out how to integrate a tracking app as seamlessly as possible into a daily routine, while generating a dataset that has the potential to give meaningful personal insights. The jury's still out on that.

Testers, collaborators, and feedback of all kinds welcome.

https://github.com/onejgordon/flow-dashboard

[mercer]

I've been toying with various projects in this area myself, so I'll definitely give it a look!

Is there any chance you could make a video that shows how the app works? The screenshots look nice, but especially with an app that is 'always there' a video showing how it works in practice is important.

[onejgordon]

Agreed the screenshots dont give a clear enough overview of the functionality, and a video is a good idea. Let me see what I can do.

[kfrzcode]

I agree with this --> even a demo app that requires no login or something and has fixed data. I don't have the time to get python app running, (yet) but I'd like to see more without blindly giving my oauth to any HN app that comes along. [it's the little things..devil's in the details].each { |i| puts i }