Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
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Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#2Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#3Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#4Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#5Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#6Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#7FYI, 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 also submits the 'Who wants to be hired?' and 'Freelancer? Seeking Freelancer?' posts.
https://hacker-news.firebaseio.com/v0/user/whoishiring.json?...
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#8Nice work, OP. Looking at the graph, I sure hope we did not hit "Peak HN" in Q2 2023.
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#9I 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.
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#10> 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…