Zeitgeist

Number of Stories Submitted: 14
Number of Stories Published: 3
Submit to Publish Percentage: 21.43 %

Number of Story Kicks: 37
Number of Story Comments: 1
Number of User Registrations: 2

Most Popular Stories for November 29, 2009

  1. Securing REST-Based Services with Access Control Service (11 kicks)
  2. ARCast.TV - Albert Pascual on how he built GeoTwitter (9 kicks)
  3. Telerik ASP.NET MVC Grid Preview (Take 2) - Kazi Manzur Rashid (7 kicks)
  4. Tuple in C# 4.0 (3 kicks)
  5. ASP.NET MVC DropdownList PostBack (3 kicks)
  6. Silverlight 4 and ESRI ArcGIS Server - COM interoperability (3 kicks)
  7. Implementing Delete Confirmation Dialog in the ListView (ASP.Net) - 2 (2 kicks)
  8. C# 4.0-Dynamic Data Type, Difference between var and dynamic (2 kicks)
  9. Including related entities in your domain service calls (1 kick)
  10. Windows 128bit was just baloney (1 kick)

Most Commented On Stories for November 29, 2009

  1. ARCast.TV - Albert Pascual on how he built GeoTwitter (2 comments)
  2. Securing REST-Based Services with Access Control Service (1 comment)
  3. Telerik ASP.NET MVC Grid Preview (Take 2) - Kazi Manzur Rashid (1 comment)

Most Popular Tags for November 29, 2009

  1. ASP.NET (4 tags)
  2. Architecture (2 tags)
  3. Silverlight (2 tags)
  4. C# (2 tags)
  5. VisualStudio (1 tag)
  6. Vista (1 tag)
  7. MVC (1 tag)
  8. LINQ (1 tag)

Most Published Users for November 29, 2009

  1. bobfamiliar (2 stories)
  2. mithu (1 story)

Most Popular Domains for November 29, 2009

  1. blogs.msdn.com (20 story kicks)
  2. weblogs.asp.net (10 story kicks)
  3. www.eriknyberg.net (3 story kicks)
  4. www.kodefuguru.com (3 story kicks)
  5. sankarsan.wordpress.com (3 story kicks)
  6. jalpesh.blogspot.com (2 story kicks)
  7. msftkitchen.com (1 story kick)
  8. blog.turlov.com (1 story kick)
  9. www.thushanfernando.com (1 story kick)
  10. www.codingcontext.com (1 story kick)

Most Published Domains for November 29, 2009

  1. blogs.msdn.com (2 stories)
  2. weblogs.asp.net (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.