[joshsharp]

I think it's really interesting to see the divide between visualisations and "actionable insights" in the discussion here. I'm definitely more about the latter, which has been my focus when building Exist[1] — which you could say is an uglier AprilZero/Gyroscope. AprilZero looks like a magical movie interface (and I feel like Anand has said he was inspired by this sort of thing before). In contrast it's definitely obvious I'm not a designer! So while Exist aggregates a lot of the same sort of services, it's much more about trying to make it work for you — we track rolling averages for all your data points, find simple insights each day (best/worst steps for x days) and automatically correlate everything against everything else to find interesting relations. Correlation != causation, of course, but seeing things like "Your weight is higher after you check into Little Greek Souvlaki" (a genuine result of mine) feels sort of like magic to me, even though with some thought I probably could've figured that out on my own.

Where we still have a way to go is tracking things at a smaller than day-level granularity — I really want to find relations between things that happen around the same time, like checking in to a specific place vs productivity levels, but that level of smarts is still a fair way off I think. Plus the "actionable" part of "actionable insights" is a whole can of worms in terms of computers telling people what to do.

All the same, exciting times.

[1] https://exist.io