Automating Job Search with AI
This is a personal experiment that uses LLMs to rank unstructured job posting data based on user-defined criteria. Traditional job search platforms rely on rigid filtering systems, but many users lack such concrete criteria. One of the superpowers of LLMs is understanding unstructured data, like the job postings in the monthly "Ask HN: who's hiring" threads. So I built a little tool that lets you define your preferences in a more natural way and then rates each job postings based on the relevance. You can define what you're looking for in simple terms and get a custom list ranked by…
In plain words
Automating Job Search with AI uses language models to rank unstructured job postings from sources like "Ask HN: who's hiring" threads based on user-defined preferences. Rather than relying on rigid filtering systems, users describe what they're looking for in natural language, and the tool scores each posting by relevance. It's designed for job seekers who lack concrete search criteria and want to process hundreds of listings more efficiently than manual searching.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
This is a personal experiment that uses LLMs to rank unstructured job posting data based on user-defined criteria. Traditional job search platforms rely on rigid filtering systems, but many users lack such concrete criteria. One of the superpowers of LLMs is understanding unstructured data, like the job postings in the monthly "Ask HN: who's hiring" threads. So I built a little tool that lets you define your preferences in a more natural way and then rates each job postings based on the relevance. You can define what you're looking for in simple terms and get a custom list ranked by relevance. It's not flawless (especially with cheaper models like gpt-3.5), but it's a lot better than searching through hundreds of listings manually.
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