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. 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.
I used an LLM to parse HN Who's Hiring comments to structured job data launched on January 8, 2024 with 16 votes, #1,045 of 4,437 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
This project uses an LLM to extract structured job data from Hacker News hiring comments, creating a searchable database of 400+ positions. Each job entry includes title, company name, location, remote status, salary information, and contact details. A NextJS static site provides filtering and viewing capabilities, making it easier for job seekers to browse opportunities from the January 2024 hiring thread.
written from the facts on this page · September 2026
Does a similar job
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