Show HN: HN Trends - like Google Trends, but for Hacker News
hntrends.jerodsanto.net
hntrends.jerodsanto.net
http://hntrends.jerodsanto.net/?q=pg
http://hntrends.jerodsanto.net/?q=y+combinator
http://hntrends.jerodsanto.net/?q=pg%2C+tptacek%2C+patio11%2...
http://hntrends.jerodsanto.net/?q=2007%2C+2008%2C+2009%2C+20...
http://hntrends.jerodsanto.net/?q=android%2C+iphone vs. http://www.google.com/trends?q=android%2C+iphone&ctab=0&...
http://hntrends.jerodsanto.net/?q=show+hn%2C+ask+hn%2C+tell+...
http://hntrends.jerodsanto.net/?q=mac%2C+gruber%2C+steve+job...
Don't forget thought that these trends include the user's own comments and submissions in addition to mentions of them in other users' comments.
suking, this is truly awesome. It immediately joined my bookmark folder of favorite HN tools. I'd be curious, though, if whether or not it would be possible to filter out user names when counting how many times a word has appeared on the site. Or would that be too much of a challenge?
I'm looking now to see if there's an easy way to filter around it. I've also been emailing with one of the ThriftDB guys and I'll ask him as well.
If not, it'd be very difficult to filter those out because I'm not currently (nor would I want to) retrieving all the matching items, just the number of hits.
Your entry looks very nice, cool to see others had a similar idea. :)
hckr news - http://hckrnews.com/
Sortable HN - http://hnsort.com/
hnvue - http://www.hnvue.com/
HackemUp - http://www.mrspeaker.net/2011/04/11/hackernews-bookmarklet/
Search Y Combinator - http://searchyc.com/
WWHNS (What Would Hacker News Say) - https://github.com/marcua/wwhns/
HNSearch - http://www.hnsearch.com/
Visual Search - http://hnsearch.heroku.com/#h
Hacker News Resources - http://hnresources.com/
Kalimba - http://hn.embed.ly/
The Best of ... Hacker News - http://bitovod.com/hn/best-of
HackRSS - http://www.hackrss.com/
HN Trends - http://hntrends.jerodsanto.net/ ;)
http://hntrends.jerodsanto.net/?q=they%2Cwe%2Cyou%2Ci
I don't understand why "they" doesn't occur. Maybe a bug?
http://hntrends.jerodsanto.net/?q=they+deserve%2Cwe+deserve%... http://hntrends.jerodsanto.net/?q=they+should%2Cwe+should%2C... http://hntrends.jerodsanto.net/?q=they+failed%2Cwe+failed%2C... http://hntrends.jerodsanto.net/?q=i+am%2Ci+was%2Ci+will+be
how is it normalized? every single thing I type in has an upward trend, which to me just suggests that interest in Hacker News has increased over the last few years... and I don't really need a chart to tell me that since I live in silicon valley :)
Btw - my suggestions got me thinking - I assumed this is looking at posts and comments. Whether just submission titles or if includes comments will affect best way to normalise.
So if say in q1 2011 there were 1m posts + comments, and in q1 2007 10k, multiply the count for q1 2007 by 100.
It would be truly great to have this normalisation optional, e.g option to normalise by comment+post count and maybe also normalise by number of users (could be an interesting comparison). And perhaps have them super-imposed on each other!
I'm storing the total hits so I will do the calculations on the client-side, which means I just might be able to add some toggles for the normalization schemes ;)
Check the "Learn More" section where I give you props for the help :)
Also, see my other comment below for a suggestion re filtering out crappy posts.
Your app looks a lot better, though! (And my dataset ends around Sept. of last year.)
I put in 5 of the 7 George Carlin dirty words. Looks like 'motherfucker' has a recent surge.
http://hntrends.jerodsanto.net/?q=piss%2C+tits%2C+cunt%2C+co...
If you want to see it without the top two words dwarfing the other five.
http://hntrends.jerodsanto.net/?q=rails%2Cdjango
Interesting that Ruby stays below Python but Rails stays well above Django.
a very nice tool!
Please do normalize the results.
Perhaps you should only query titles and text, not usernames?
edit: for example, searching for pg would include his own submissions as well as mentions and Ask PG subs.
http://www.hnsearch.com/search#request/comments&q=pvilch...
This is something I should definitely work around in the future. Thanks for bring it to my attention!
&weights[username]=0.0
As the site gains reputation/users you can see that many switch to the abbreviated version.
interesting indeed
http://touchwoodsoftware.com/yctrends.html
Feel free to take that idea if you like, I think it's interesting not just to see the shape of the trend but also the stories which created the peaks.
http://hntrends.jerodsanto.net/?q=techcrunch%2C+mashable%2C+...
I had never heard of FLOT. Thanks for introducing me to it, it looks cool and I'll check it out for future projects!
http://hntrends.jerodsanto.net/?q=coffeescript%2C+jquery%2C+...
Awesome work thus far though.
I'll definitely do that next, since it's not too hard to implement and seems like a big win when you are just trending a single term.
Can you normalize it against total text volume? Number of mentions always goes up with time as HN grows, % of posts mentioning will be a better measure of mindshare.
For example, the first thing I searched for was "Haskell", curious to see if it had gained or lost popularity in the past couple of years. The graph has an upward trend, but without knowing what the trend for total volume on HN is, that information is useless.
Looks like a bubble...
Amazingly, C# is talked about precisely as often as C++!
http://hntrends.jerodsanto.net/?q=c%2B%2B%2C+c%23
;-)
Great site by the way. Nice job.