Zeitgeist

Number of Stories Submitted: 16
Number of Stories Published: 3
Submit to Publish Percentage: 18.75 %

Number of Story Kicks: 106
Number of Story Comments: 5
Number of User Registrations: 1

Most Popular Stories for December 1, 2009

  1. Free .NET Profilers and Some Paid Ones Too (14 kicks)
  2. Hacking the ASP.NET Parser (10 kicks)
  3. Azure Start Guide – Step by Step Installation Guide (8 kicks)
  4. Managing Composition Through Lazy Loading Parts (2 kicks)
  5. Windows Azure – Using DataSet with cloud storage (2 kicks)
  6. What is this Microsoft StreamInsight thing? (2 kicks)
  7. Memento Design Pattern (2 kicks)
  8. Columbia Code Camp 2010 Call For Speakers (2 kicks)
  9. Discover MS's "Dallas" Data-as-a-Service offering built upon Azure (1 kick)
  10. Check uncheck all checkbox in asp.net web form st using jquery (1 kick)

Most Commented On Stories for December 1, 2009

  1. Azure Start Guide – Step by Step Installation Guide (3 comments)
  2. Hacking the ASP.NET Parser (1 comment)
  3. Free .NET Profilers and Some Paid Ones Too (1 comment)

Most Popular Tags for December 1, 2009

  1. C# (5 tags)
  2. Azure (3 tags)
  3. ASP.NET (2 tags)
  4. immutable (2 tags)
  5. Haversine (2 tags)
  6. geocoder (2 tags)
  7. Algorithms (2 tags)
  8. data (2 tags)
  9. LINQ (2 tags)
  10. Patterns (2 tags)

Most Published Users for December 1, 2009

  1. crpietschmann (1 story)
  2. pinaldave (1 story)
  3. mopen (1 story)

Most Popular Domains for December 1, 2009

  1. www.devcurry.com (14 story kicks)
  2. weblogs.asp.net (12 story kicks)
  3. blog.sqlauthority.com (8 story kicks)
  4. www.kodefuguru.com (4 story kicks)
  5. www.leniel.net (2 story kicks)
  6. atanashristov.blogspot.com (2 story kicks)
  7. randomactsofcoding.blogspot.com (2 story kicks)
  8. blogs.msdn.com (1 story kick)
  9. www.thinqlinq.com (1 story kick)
  10. www.adam-robinson.net (1 story kick)

Most Published Domains for December 1, 2009

  1. blog.sqlauthority.com (1 story)
  2. weblogs.asp.net (1 story)
  3. www.devcurry.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.