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Kick Spy!, Kick Zeitgeist and Kick Widgets

Zeitgeist

Number of Stories Submitted: 9
Number of Stories Published: 7
Submit to Publish Percentage: 77.78 %

Number of Story Kicks: 65
Number of Story Comments: 0
Number of User Registrations: 9

Most Popular Stories for October 16, 2006

  1. Hacking the Report Viewer Redistributable (16 kicks)
  2. Introducing Perf+ , A better perfmon (14 kicks)
  3. Hotkeys Binding in C# Windows Application (12 kicks)
  4. Rediscovering IEnumerable<T> (12 kicks)
  5. Grids and Spreadsheets (12 kicks)
  6. quest for a better CAPTCHA (11 kicks)
  7. Reading Masked Input from the System Console with .NET 2.0 (8 kicks)
  8. Some More Thoughts About the NY Times Reader (6 kicks)
  9. Introducing C# and the .NET Framework (1 kick)

Most Commented On Stories for October 16, 2006

There are no data available for this time period.

Most Popular Tags for October 16, 2006

  1. C# (3 tags)
  2. .Net (3 tags)
  3. KeyBindings (1 tag)
  4. InputMask (1 tag)
  5. Grid (1 tag)
  6. ExcelServices (1 tag)
  7. EranKampf (1 tag)
  8. DotNet (1 tag)
  9. Console (1 tag)
  10. Computing (1 tag)

Most Published Users for October 16, 2006

  1. oaktowner (1 story)
  2. BlackTigerX (1 story)
  3. gavinjoyce (1 story)
  4. firefalcon (1 story)
  5. derekslager (1 story)
  6. tomasr (1 story)
  7. dbottjer (1 story)

Most Popular Domains for October 16, 2006

  1. drowningintechnicaldebt.com (16 story kicks)
  2. weblogs.asp.net (14 story kicks)
  3. www.winterdom.com (12 story kicks)
  4. powersunfiltered.com (12 story kicks)
  5. 20.targetprocess.com (12 story kicks)
  6. ebersys.blogspot.com (11 story kicks)
  7. derekslager.com (8 story kicks)
  8. www.ekampf.com (6 story kicks)
  9. en.csharp-online.net (1 story kick)

Most Published Domains for October 16, 2006

  1. drowningintechnicaldebt.com (1 story)
  2. derekslager.com (1 story)
  3. ebersys.blogspot.com (1 story)
  4. www.winterdom.com (1 story)
  5. weblogs.asp.net (1 story)
  6. 20.targetprocess.com (1 story)
  7. powersunfiltered.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.


 

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