You might want to additionally split this by:

- Free v paid/iAPS

- How expensive the app is

No doubt there's other ways to split it (e.g. "controversy level", "complexity") but those are potentially a bit tricky to quantify.

If it gets a decent amount of use it might be fun to add some more hashtags to let people break it down more.

Again, if it gets decent data coming through it there might be some nice things I can do with visualisation of that data too. We will see ;)

Cool idea. How accurate do you expect the figures to be? Might people whose apps are reviewed particularly slowly be more inclined to report review times, thereby skewing results?

I am (possibly optimistically) hoping that people will be accurate with the data :)

It needs a decent amount of usage to be anything like accurate anyway and so I hope that the occasional bad data point will be hidden by the averages. I will be watching to see how accurate the data "feels" by watching the kind of tweets people are putting through it.

Brilliant timing, because I am in the middle of the developer program enrollment process and have a Mac app that's almost finished.

[OT] While I can see the the usefulness of gathering data from tweets keyed by hashtag, I don't quite get the point here. I would expect a web page to have a more direct means of entering data.

It is a great idea for gathering data from tweet followers, however.

Main reason... I wanted to keep it really simple in terms of implementation and also so people might see the hashtag being used and go investigate what it was :) It was knocked up in a few hours total.

However, I also think it would be easier just add the hash tag to a tweet that you may even already be typing rather than have to go to a separate web page and enter a form. I would certainly prefer to do it this way.

Apple used to show the current average review time on their developer portal. Are they not doing that anymore?

I had forgotten about that, just checked and they do show a percentage of iOS (no Mac) apps which are reviewed within 7 days (currently 75%) but it is kinda tucked away in the middle of a page and not really obvious. It will be interesting to see if the user generated average settles on ~7 days, my feeling is that it probably will be around that mark.

Also, if I get a decent amount of data coming through the system there is the possibility of gathering more data or creating some interesting visualisations of it. We will see.