Archive for September, 2006|Monthly archive page

<b>Industry Note: Viral Funpacks</b>

Just awesome. Read the whole thing, it’s cutting.

<b>Industry Note: Viral Funpacks</b>

Yesterday, Paul left a great comment making fun of 2.0 “strategy” mentioning “viral funpacks”.

It was pretty hilarious. But also pretty insightful. Why? Because the realization is slowly dawning in the Valley and other assorted 2.0 scenes of the world that “widgets” are the next big thing.

(Via BGSL.)

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Google Analytics and Bigtable

Scary, on many levels

Google Analytics and Bigtable

Another tidbit I found curious in the Google Bigtable paper was the massive size of the Google Analytics data set stored in Bigtable.

The paper says that 250 terabytes of Google Analytics data are stored in Bigtable. That’s more than all the images for Google Earth (71T). It is the second largest data set in Bigtable, behind only the 850T of the Google crawl.

Why is it so big? The way I had assumed Google Analytics worked is that it maintained only the summary data for each website. That would be a very small amount of data, nowhere near 250T.

Instead, it appears Google Analytics keeps all the information about user behavior on all sites using Google Analytics permanently, online, and available for various analyses. That would explain 250T of data.

(Via Geeking with Greg.)

Google Image Labeler Uses Human Labor

We kicked an idea like this around for creative classification…

Google Image Labeler Uses Human Labor

Google Image Labeler launched today. It’s a game, based on Luis von Ahn’s ESP Game, that puts two random users together and asks them to label/tag an image. The idea is that if two people come up with the same label, it is probably a good one and will make Google’s image search better.

See Google Blogoscoped for the initial story and Danny Sullivan who found a ton of additional facts, including a video by Luis von Ahn stating that this game could effectively label all Google indexed images in two months.

I tried the game. It’s fun, in a why-am-I-doing-this kind of way. I focused on labeling everything I saw as “purple” and “Donald Trump”.

(Via TechCrunch.)

How to get users to RTFM

As usual – fantastic post about educating users…

How to get users to RTFM

The “F” in RTFM is the biggest clue that most of us blame the user for not reading the manual. But if “reducing guilt is the killer app”, companies should take more responsibility for whether readers use their manuals. And since we can’t force our users to do anything, if we want them to RTFM, we need to make a better FM.

(Via Creating Passionate Users.)