Show HN: LLM Evaluator for "Who is hiring" threads (github.com)

A new tool, "LLM Evaluator for 'Who is Hiring' threads," has been announced that utilizes Google's Gemini API to evaluate job opportunities based on user preferences and resumes posted in Hacker News discussions. Users can clone the repository, set their preferences, and submit their resumes to receive tailored evaluations of comments from "Who is Hiring" threads. The tool processes user input to provide a score from 0 to 100, helping job seekers gauge the relevance of the comments and job postings based on their specific requirements. This development is significant for the AI/ML community as it leverages advanced language models to streamline the job search process, enhancing user experience through automation and personalized evaluations. However, there are important technical considerations, including the need for a combined total of 1024 tokens in user inputs and potential challenges with Gemini's output quality. Users can expect that evaluations may require multiple attempts due to variability in the model's performance, and the caching mechanism necessitates periodic regeneration. While still in a raw app stage, its innovative approach highlights the expanding role of AI in addressing real-world problem-solving in job searching.