Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

Post by SushiHippie » Thu, Jul 04, 2024, 7:59 PM UTC

comcuoglu wrote: post #10

SushiHippie wrote: post #7

> Using Selenium, I used a script to google iteratively for strings query = f"ask hn who is hiring {month} {year}" to get the IDs of the items that represent the monthly threads. FYI, you could've just used the hackernews API, and get all posts by the user `whoishiring`, which submits all these who is hiring posts. And then filter out only the posts where the title starts with "Ask HN: Who is hiring?", as this bot al…

This makes just so much sense and would spare me 65 lines of code. Thank you!

Post by comcuoglu » Thu, Jul 04, 2024, 8:03 PM UTC

rareitem wrote: post #4

I really like the graph at the 'what javascript frameworks are in demand?' part. Any insight to share about that?

Post by gajnadsgjoas » Thu, Jul 04, 2024, 8:10 PM UTC

Post by comcuoglu » Thu, Jul 04, 2024, 8:14 PM UTC

BadCookie wrote: post #16

Interesting data, but I think the percentage of remote listings is misleading. Many “remote” jobs now require you to live within commuting distance of a particular city, usually SF or NY.

Post by 7thpower » Thu, Jul 04, 2024, 8:17 PM UTC

SoftTalker wrote: post #9

blowski wrote: post #6

I wonder how this would compare against a random sample of jobs on, say, Indeed or LinkedIn. My experience of Hacker News is that it’s a very biased group (in a good way) to the general industry.

I've heard that many of the jobs posted on general jobs boards like that are never intended to result in a hire. They are posted when the company already knows who they are going to hire, but are legally obligated to post the position, or when the company wants to manufacture evidence that "no qualified candidates" could be found locally.