26 responses so far ↓

• 1 Dennis G // May 27, 2008 at 2:08 pm

  Wow, impressive stats.
  I hope you have used some automated tools for pulling these… OR do you have a lot of time

  Keep them coming, love this stuff…

• 2 Yuvi // May 27, 2008 at 2:13 pm

  @DennisG: I do have an quasi-automated tool for pulling these up Will someday make a post about them….

  Thanks for the encouragement

• 3 Dennis G // May 27, 2008 at 2:15 pm

  I hope you will land in a good place, college I mean.
  Added your blog to my reader, and will follow you.

  Who knows in 2/3 years time I have some open positions.
  This is good S***

• 4 Joseph Hunkins // May 27, 2008 at 2:22 pm

  Brilliant Yuvi - very well organized info - keep up the clever work.

• 5 Andy Beard // May 27, 2008 at 2:24 pm

  Hi Yuvi

  Great stats - I know a few you missed though which are quite insightful.
  I have one data source which is around 400MB of data to play with.

• 6 Yuvi // May 27, 2008 at 2:58 pm

  @Joseph: Thanks!

  @Andy: I know I did miss a few. What’s that 400 Megs of data you’re talking about? I’m quite interested…

• 7 notes, thoughts, ideas and responses » Three Power Law Relationships (Techmeme, Twitter, TechCrunch) // May 27, 2008 at 3:03 pm

  [...] TechCrunch Distribution of Links to Hosts (scroll halfway down the post) CrunchBase Information TechCrunch Information provided by CrunchBase [...]

• 8 kamla bhatt // May 27, 2008 at 3:41 pm

  Great job with that number crunching and the pie charts and graphs.

  What did you come away learning from this exercise? How to run an effective blog? ….I am curious to know.

  Thanks for sharing this.

  Kamla Bhatt

• 9 TechCrunch Under A Microscope | Jeffro2pt0 // May 27, 2008 at 4:31 pm

  [...] has recently published an awesome statistical analysis of TechCrunch.com Some immediate findings based on the number crunching produced by the [...]

• 10 JD Rucker // May 27, 2008 at 5:04 pm

  Amazing compilation. Wonder how much time it took to count all of those stats.

• 11 Sandeep Balaji // May 27, 2008 at 6:00 pm

  Great stats…I was amazed that 86% of the link were to their own properties……

  Cheers
  Sandeep
  

• 12 Cyndy Aleo-Carreira // May 27, 2008 at 7:06 pm

  Yuvi, I don’t give a rat’s patootie about the stats, but the analysis is hilarious. I come just for the giggles.

• 13 Wendy Piersall // May 27, 2008 at 10:21 pm

  Fascinating that not one of those top commentator people are women - but not entirely surprising either. They live and write for a male dominated world.

  While I completely admire and respect the empire Michael Arrington has built, I’ve had to explain who he is to more than one (promiment) female blogger out there.

  His stats are impressive, but don’t forget he blogs in somewhat of a bubble.

• 14 Ouriel Ohayon // May 28, 2008 at 12:22 am

  Interesting piece of work. Would be curious to know if you could run an aggregated analysis with other Techcrunch blogs (specially techcrunch france)

• 15 The StatBot analyzes TechCrunch from A-W : The Blog Herald // May 28, 2008 at 4:11 am

  [...] StatBot, an upcoming and coming blog focused on statistical analysis of the blogosphere, has posted an in-depth analysis of TechCrunch - and what they find is pretty interesting [...]

• 16 Darren Herman - Marketing, Advertising, Media and Technology Blog » Blog Archive » Digital Wednesdays: Back in Action // May 28, 2008 at 7:26 am

  [...] TechCrunch Statistics - I’m becoming more and more of a numbers person and find this post all about TechCrunch to be extremely interesting.  If I was Alley Insider, PaidContent, Center Networks, ReadWrite Web, or any other digital media/technology site, these stats may be extremely relevant to me as I can then benchmark my site to see how it’s performing.  One area that was interesting to me was that of the  posts by weekday & words per post.  I’ve highlighted one of their graphics below so you can see: [...]

• 17 Yuvi // May 28, 2008 at 9:31 am

  @Sandeep: Err, you’ve got it in the reverse!

• 18 Yuvi // May 28, 2008 at 9:43 am

  @Ouriel: I’d love to do that, but don’t think I’d be as effective because of language issues…

• 19 Yuvi // May 28, 2008 at 9:44 am

  @Wendy: Yep I’m actually trying to Statbot some Girl bloggers, but can’t find any good/popular (since popular=more data) ones!

• 20 Cyndy Aleo-Carreira // May 28, 2008 at 9:46 am

  @Yuvi I’m just going to pretend I didn’t see that.

• 21 Yuvi // May 28, 2008 at 10:04 am

  @Cyndy: Wait - You’re a girl! I never knew! Names just totally confuse me!

  I’m sorry *sniff*

• 22 Benton // May 30, 2008 at 5:04 pm

  Nice work Yuvi

  Looks like TC is a volume game like McDonalds.

• 23 First Indian Blogger to break into Techmeme LeaderBoard | Oodami // May 30, 2008 at 9:39 pm

  [...] has interesting graphs on FriendFeeds of Bloggers, Techmeme and TechCrunch. Congratulations Yuvi! So, If a blogger has something interesting to say other bloggers will link [...]

• 24 Saad // May 30, 2008 at 9:46 pm

  Good work Yuvi. Glad to see such beautiful work. Wish you good luck for your higher studies. I am waiting for your post on the the system you use to develop such labor intensive graphs.

• 25 Michael Arrington’s Love for Technorati | Vinay is In! - Weblog/Blog of Vinay // Jun 1, 2008 at 4:28 am

  [...] covered couple of article on TechCrunch which was pretty much interesting to know some facts about Mike & other authors. [...]

• 26 Jon Peltier // Jun 16, 2008 at 5:15 am

  Some suggestions:

  1. The “Growth” plots are time series, and would be better suited to a line chart than a bar chart. It’s hard to tell what the numbers even are, because the bars give an unintentional shading from light near the top to dark below.

  They would also be improved by using a moving average, perhaps 7 day, to smooth out the severe variability of the raw numbers.

  2. The power law (Zipf) distribution is better shown with an XY chart, but keep the line without markers subtype. Change both scales to a logarithmic scale: a straight line is a power law relationship. Jakob Nielsen discusses this in Zipf Curves and Website Popularity.

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