Analysing 10 years of 'who is hiring' HN data(ritza.co)
ritza.co
Analysing 10 years of 'who is hiring' HN data
https://ritza.co/articles/analysing-10-years-of-who-is-hiring-data/
9 comments
Thanks for sharing this and interesting as it shows a sad trend at the moment.
People post to it for days after the months starts.
Note that September is particularly sad because it was posted on Labor Day (yesterday), a US federal holiday.
Seems to cut off in March, perhaps abandoned?
Nope, it's all there, look again (maybe not great on mobile or something?)
As someone looking for a job. Oof.
my quick and dirty version of this from march was http://canonical.org/~kragen/sw/dev3/hiring.png. i only bothered to gather 7 years of data though
csv generation script at http://canonical.org/~kragen/sw/dev3/whoishiring.py (taking as input http://canonical.org/~kragen/sw/dev3/whoishiring.txt, copied and pasted from firefox), png generation script at http://canonical.org/~kragen/sw/dev3/plothiring.py
it, uh, probably took me more than the 5 minutes it reportedly took chatgpt. more like two and a half hours, judging from time.ctime(os.stat('whoishiring.txt.~1~').st_mtime), although i think i ate dinner in the middle. clearly i should lean more on chatgpt
https://github.com/saulpw/visidata looks pretty cool!
csv generation script at http://canonical.org/~kragen/sw/dev3/whoishiring.py (taking as input http://canonical.org/~kragen/sw/dev3/whoishiring.txt, copied and pasted from firefox), png generation script at http://canonical.org/~kragen/sw/dev3/plothiring.py
it, uh, probably took me more than the 5 minutes it reportedly took chatgpt. more like two and a half hours, judging from time.ctime(os.stat('whoishiring.txt.~1~').st_mtime), although i think i ate dinner in the middle. clearly i should lean more on chatgpt
https://github.com/saulpw/visidata looks pretty cool!
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[1] https://hnhiringtrends.com