« Playing the Popping Housing Bubble | Main | Marketing 2.0: The Digg Way »
Latest Stories
- Excel Wankers and Recession Averages
- Sorry, New York is Closed. Check Back Later.
- Catching Falling 2009 Earnings Estimate Knife
- Survivorship Bias in Global Markets
- Talking Positions on a Lazy-ish Retirement Portfolio
August 30, 2006
Fun with Digg via Dabbledb
Avi and Andrew are doing amazing things with Dabbledb. Since investing in the company two months ago, I have continued to be impressed with their balance of creativity and focus in growing and improving the Dabbledb service.The latest example: Slurping up Digg data. The guys show how easy it is to suck Digg data into Dabble, and then fold, spindle and analyze that unstructured web data via Dabble. Watch the whole screencast -- it's an eye-opener.
More broadly, this is another example of one my favorite themes these days, that the web is the database. The combination of Dabble and loosely structured Digg data demonstrates wonderfully how powerful that bigger vision of online information can become.
Nicely done, guys.
Sphere It
|
Digg it
|
Bookmark it
|
Stumble it
|
Facebook it
fewquid: please do share. http://dabbledb.com/contact/, we're always open to suggestions.
A similar service is provided by Dapper (http://www.dappit.com) as well, except instead of providing a relational DB kind of interface, it uses RSS, XML or other interfaces to the data. But both of these services are interesting as it will lower the threshold for building mash-ups or web applications in general. While one (Dappit) provides easily accessible data, the other provides a glue service to mix two different but related data sources. It will be an interesting exercise to build a web-application using both these services. :-)









Wow! That is really slick -- very impressive. I just wish they had some other visualization techniques -- something I've been thinking about a lot lately... There's a lot to be learned from the seemingly trivial (but actually a fundamental insight IMO) Digg labs visualization tools.
Data visualization is still in the dark ages. Can dabbleDB fix it please :-) I have some ideas I'm happy to share...