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Analyzing HN readers' personal blogs

dannysalzman.com

11–20 of 99 posts

Re: Analyzing HN readers' personal blogs

#12

Interesting to see the high numbers for GA. A bit of ‘do as I say, not as I do’ going on?

Probably because there isn’t a good free analytics service that is easy to use (no need for self-hosting) and is able to collect the info that one wants. GA is free, and easy.

Re: Analyzing HN readers' personal blogs

#13
Of those who responded to the 'what is your blog and why should I read it' thread. HN is large. Likely larger than many of its visitors realize because the participants are a relatively small fraction of the readership.

So HN readers are not necessarily contributors. And not all contributors would plug their blogs in a thread asking them to do so.

If you want to get an idea of the HN readership rather than of the HN contributors you may want to start off by scraping all the profile pages instead, it will give you a much larger set of sample data to work with.

Re: Analyzing HN readers' personal blogs

#14

Interesting to see the high numbers for GA. A bit of ‘do as I say, not as I do’ going on?

Every time I see a privacy outrage thread over here I think about how many readers/commenters on this site work for advertising/tracking companies or companies whose products include tracking code. (Full disclosure: I don’t.)

Re: Analyzing HN readers' personal blogs

#18
I like the analysis. However, I am curious why entries are not sorted by counts. As a rule of thumb, sorting alphabetically makes no sense!

Also, 382 sounds like a very small number, given the size of HN. I did try to find many blogs I read, but couldn't find one. So, crucially - was it a random sample? Or sample from top-liked, or from a particular month?

some findings (e.g. the prevalence of Wordpress) may depend on this procedure.

Re: Analyzing HN readers' personal blogs

#19
post #16

That’s a helpful list of Google Analytics alternatives to check out, thanks! There are 13 websites using Parse.ly, which starts at $500 per month! For a personal blog??

The vast bulk of those are medium sites, possibly a volume deal with medium?

http://robotoverlordmanual.com/ https://medium.com/@andzwa https://medium.com/build-ideas https://medium.com/chrismarshallny https://medium.com/ing-blog/tech/home https://medium.com/@matthagy https://medium.com/modern-nlp https://medium.com/open-factory https://medium.com/@romanorac https://medium.com/@soatok https://medium.com/@zakjan https://sidstechcafe.com/ https://vladaionescu.com/

Re: Analyzing HN readers' personal blogs

#20
post #18

I like the analysis. However, I am curious why entries are not sorted by counts. As a rule of thumb, sorting alphabetically makes no sense! Also, 382 sounds like a very small number, given the size of HN. I did try to find many blogs I read, but couldn't find one. So, crucially - was it a random sample? Or sample from top-liked, or from a particular month? some findings (e.g. the prevalence of Wordpress) may depend o…

At the top he writes how he got the data, from the 'what is your blog and why should I read it' post.
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