Zeitgeist

Number of Stories Submitted: 24
Number of Stories Published: 4
Submit to Publish Percentage: 16.67 %

Number of Story Kicks: 154
Number of Story Comments: 2
Number of User Registrations: 6

Most Popular Stories for January 9, 2009

  1. Asynchronous Fire and Forget With Lambdas (23 kicks)
  2. Sort Visual Studio 2008 Projects alphabetically inside Solution Folder (17 kicks)
  3. Checking username availability with jQuery (screencast) (16 kicks)
  4. ALT.NET Podcast 14: Object Databases (16 kicks)
  5. Alternate way to select ASP.NET server controls using jQuery (5 kicks)
  6. Xml Serialization Made Easy (4 kicks)
  7. Validation in WPF – The Disconnect (4 kicks)
  8. Avoid Cookie Stuffing in your affiliate program (4 kicks)
  9. VSTricks Video Blog: Splitting Windows in Visual Studio (3 kicks)
  10. VSTricks Video Blog: Visual Studio Show/Hide White Space (3 kicks)

Most Commented On Stories for January 9, 2009

There are no data available for this time period.

Most Popular Tags for January 9, 2009

  1. C# (5 tags)
  2. WPF (5 tags)
  3. VisualStudio (4 tags)
  4. MVC (2 tags)
  5. jQuery (2 tags)
  6. Database (2 tags)
  7. ASPNETMVC (1 tag)
  8. ALT.NET (1 tag)
  9. Security (1 tag)
  10. OpenSource (1 tag)

Most Published Users for January 9, 2009

  1. maartenba (1 story)
  2. powerrush (1 story)
  3. Tischnoetentoet (1 story)
  4. johnsheehan (1 story)

Most Popular Domains for January 9, 2009

  1. haacked.com (23 story kicks)
  2. blog.catenalogic.com (20 story kicks)
  3. altnetpodcast.com (16 story kicks)
  4. blog.maartenballiauw.be (16 story kicks)
  5. VSTricks.com (6 story kicks)
  6. www.jankoatwarpspeed.com (5 story kicks)
  7. www.invertedsoftware.com (4 story kicks)
  8. blog.decayingcode.com (4 story kicks)
  9. rndnext.blogspot.com (4 story kicks)
  10. codingcontext.wordpress.com (3 story kicks)

Most Published Domains for January 9, 2009

  1. haacked.com (1 story)
  2. altnetpodcast.com (1 story)
  3. blog.maartenballiauw.be (1 story)
  4. blog.catenalogic.com (1 story)

Aggregate statistics are based on the item date. For example, the number of kicks listed is based on the exact time period and are totalled without regard to the story's submission date.

Story lists are calculated based on the the story's submission date.