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Kick Spy!, Kick Zeitgeist and Kick Widgets

Zeitgeist

Number of Stories Submitted: 15
Number of Stories Published: 4
Submit to Publish Percentage: 26.67 %

Number of Story Kicks: 105
Number of Story Comments: 2
Number of User Registrations: 10

Most Popular Stories for May 9, 2007

  1. FoldingCube3D modeled in WPF (16 kicks)
  2. Some Katmai (SQL Server 2008?) News (12 kicks)
  3. Leveraging 3rd party/OSS tools in a VSTS/TFS environment (11 kicks)
  4. How to Use the Singleton Pattern and the Garbage Collector to Manage a (10 kicks)
  5. .net Framework 3.5 is not just about LINQ (5 kicks)
  6. The 31 Days of ReSharper - Excellent collection of tips and tutorials (3 kicks)
  7. Codeproject to offer Silverlight articles (3 kicks)
  8. Silverlight and .net (Videos) (2 kicks)
  9. Free SQL Server Stumpers V1 Book (2 kicks)
  10. Adaptive Rendering (1 kick)

Most Commented On Stories for May 9, 2007

  1. The 31 Days of ReSharper - Excellent collection of tips and tutorials (2 comments)

Most Popular Tags for May 9, 2007

  1. VisualStudio (3 tags)
  2. Katmai (2 tags)
  3. Silverlight (2 tags)
  4. SQL (2 tags)
  5. GC (1 tag)
  6. Dependency (1 tag)
  7. Denny.NET (1 tag)
  8. Debugging (1 tag)
  9. Database (1 tag)
  10. CodeProject (1 tag)

Most Published Users for May 9, 2007

  1. SQL_Menace (1 story)
  2. jbeninghove (1 story)
  3. MistaCanista (1 story)
  4. jeremyjarrell (1 story)

Most Popular Domains for May 9, 2007

  1. www.stackenbloggen.de (16 story kicks)
  2. sqlservercode.blogspot.com (12 story kicks)
  3. joeydotnet.com (11 story kicks)
  4. www.jeremyjarrell.com (10 story kicks)
  5. spellcoder.com (5 story kicks)
  6. www.allanmuller.co.uk (3 story kicks)
  7. www.codeproject.com (3 story kicks)
  8. www.excastle.com (3 story kicks)
  9. www.endtoendtraining.com (2 story kicks)
  10. www.informationweek.com (1 story kick)

Most Published Domains for May 9, 2007

  1. joeydotnet.com (1 story)
  2. www.jeremyjarrell.com (1 story)
  3. sqlservercode.blogspot.com (1 story)
  4. www.stackenbloggen.de (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.


 

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