<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>azeemba</author><text>It might be worth updating this comment and explaining your second query.&lt;p&gt;People seem to think it is somehow measuring visits to those origins. But it&amp;#x27;s measuring how many unique subdomains are listed for those domains</text><parent_chain><item><author>mg</author><text>Top level domains by popularity:&lt;p&gt;&lt;pre&gt;&lt;code&gt;    grep -oP &amp;#x27;\.[a-z]+(?=,)&amp;#x27; current.csv | sort | uniq -c | sort -n

  ...
  15840 .pl
  17914 .it
  20182 .de
  21690 .in
  27812 .ru
  29194 .jp
  30359 .org
  35741 .br
  36675 .net
 406052 .com
&lt;/code&gt;&lt;/pre&gt;
.com domains by popularity:&lt;p&gt;&lt;pre&gt;&lt;code&gt;    grep -oP &amp;#x27;[a-z0-9-]+\.com(?=,)&amp;#x27; current.csv | sort | uniq -c | sort -n

    ...
    365 tistory.com
    370 fc2.com
    408 skipthegames.com
    489 online.com
    515 wordpress.com
    707 uptodown.com
    880 schoology.com
   2570 fandom.com
   2651 instructure.com
   3244 blogspot.com&lt;/code&gt;&lt;/pre&gt;</text></item></parent_chain></comment><story><title>Cached Chrome Top Million Websites</title><url>https://github.com/zakird/crux-top-lists</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>egman_ekki</author><text>Rather amazing seeing almost abandoned blogspot.com there at the top.&lt;p&gt;Also interesting I haven’t heard about half of them. Some are nsfw, apparently.</text><parent_chain><item><author>mg</author><text>Top level domains by popularity:&lt;p&gt;&lt;pre&gt;&lt;code&gt;    grep -oP &amp;#x27;\.[a-z]+(?=,)&amp;#x27; current.csv | sort | uniq -c | sort -n

  ...
  15840 .pl
  17914 .it
  20182 .de
  21690 .in
  27812 .ru
  29194 .jp
  30359 .org
  35741 .br
  36675 .net
 406052 .com
&lt;/code&gt;&lt;/pre&gt;
.com domains by popularity:&lt;p&gt;&lt;pre&gt;&lt;code&gt;    grep -oP &amp;#x27;[a-z0-9-]+\.com(?=,)&amp;#x27; current.csv | sort | uniq -c | sort -n

    ...
    365 tistory.com
    370 fc2.com
    408 skipthegames.com
    489 online.com
    515 wordpress.com
    707 uptodown.com
    880 schoology.com
   2570 fandom.com
   2651 instructure.com
   3244 blogspot.com&lt;/code&gt;&lt;/pre&gt;</text></item></parent_chain></comment><story><title>Cached Chrome Top Million Websites</title><url>https://github.com/zakird/crux-top-lists</url></story>