So with the advent of Google Code Search, I’ve tried at first to search for my name. Sadly, nothing comes up despite my having contributed to sourceforge projects, and having started one of my own. So I did the next best thing, I searched for the more interesting ones. Here’s what I learned:

• bar (3M) beats foo (1.5M)
• There are hacks (600K) and then there are huge hacks (100)
• There’s lots of broken (542K) but there’s definetely not enough bbq (6K).

What other interesting searches have you raked? Post a comment!

Jaminid (Java Mini Daemon) is a very small HTTP/1.1 server written entirely in Java, and meant to be embedded into java programs as a builtin server, usually to substitute a graphical GUI with a thin-client HTML interface.

Due to an increase in interest from people lately, I’ve released a new version containing the impovements I’ve made to it since it’s first public release. The improvements include several bug fixes, and even includes a nicer example.

Admittedly one of the few ways the Bloomberg Terminal distinguishes itself from the rest of the pack of financial data reporting, is the excellent News tracker. When you are viewing any chart, for example historical prices of a share, you can click on any point of the chart to view the news stories that occurred at that particular date and time.

I liked this little feature so much (it can make a lot of trends immediately obvious) that I’ve implemented my own little version for my news-equity correlation project, which could capture emailed Bloomberg stories and save them in a database. This was soon extended to capture stories from prespecified Google Alerts, and the task at hand was to learn to predict trends in the share price based on patterns in the news stories.It looks like Google has been busy. The all new, Google Finance site has this amazing little feature, and though it might not have as much content as Bloomberg, it is slick, functional, and appealing. I will be using this often.

Apple has given its investors a brand new insight into how well iTunes is doing:
Apple iTunes 1 Billion Dollar Countdown

Watch those iTunes songs download in real time! I’m wondering whether someone has been extracting statistics out of this so we can linearly predict the iTunes momentum for the next few quarters?

Update: I have started regularly collecting these statistics directly from Apple. You can find a report of sales in Apple iTunes Sales Statistics.

Final Update: Unfortunately Apple no longer maintains their countdown since the 1billionth song was downloaded - at least I didn’t put any more effort on the reports.