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Show HN: I used an LLM to parse HN Who's Hiring comments to structured job data
Hello! I used an LLM to extract structured data from each comment on the “Ask HN: Who is Hiring? (January 2024)” post, available at: https://news.ycombinator.com/item?id=38842977 https://news.ycombinator.com/item?id=38842977. This created a dataset of 400+ jobs with data such as title, company name, location, is job remote, salary data, and the URL/email to contact. For the UI, a NextJS static site was created to filter and view the structured data.
- alecsm 3y agoFunny that only 51 out of 475 jobs show the salary while tech people are very vocal against not showing it.
- helsinkiandrew 3y agoNice, a time/date on each comment might be useful, so you can find the jobs posted an hour ago rather than 5 days.
- tekmaven 3y agoThanks for the suggestion. I added the time posted as the first piece of displayed metadata. Also, I updated the sort order to display the newest jobs first.
- niemyjski 3y agoPretty awesome!!
- chrissnell 3y agoCan we get a "Kubernetes" added to the technologies filter?
- quickthrower2 3y agoGood stuff. Remote is not a boolean though. It would be good to specify: * Which countries can apply for the role (or is it Global) * Which timezones can apply for the role (or is it Global) If not specified you could assume you need to be a citizen of their country and in their time zone +/- 3 hours. I think this is where an LLM can shine, it may be able to make good guesses about this stuff.
- LorenzoGood 3y agoAwesome! Small suggestion, move the "Link to original comment" button, to the HN comment drop-down.
- tekmaven 3y agoThanks for the feedback! I've moved it below the original comment now. I made some small adjustments to the original comment display as well.