Alternatives
Products that do what HyreMe.app does
AI-Powered Tools to optimize job search and get hired faster
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Instantly match, optimize resumes & manage job applications
2025
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2024 · bernawil.github.io
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There are existing HN job aggregators, but I thought we could take it a step further. Inspired by an insightful comment on a previous thread (https://news.ycombinator.com/item?id=36163021), I built a tool that aggregates job postings and intelligently categorizes them based on user-specific preferences: * Country and remote work preferences * Employer type (e.g., startup, corporation, government) * Industry * Technologies used * Role type (developer, architect, product owner, etc.) * Salary range (where available) One of the superpowers of LLMs is reformatting information from…
2023 · kadoa.com
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Hey HN! I'm excited to show off this side project I've been working on. This project matches your resume with the best matching jobs from the monthly HN Who's Hiring post. It works by creating a vector embedding of your resume using OpenAI's embedding API, and then ranking the jobs using a vector similarity score. (You can toggle between max inner product, cosine, and euclidean in the "Advanced Options") I was laid off in August and it took a whole 6 months for me to find my new job. Fortunately, I found my new role on January's HN Who's Hiring post. So I hope this will prove useful to any…
2023 · hnresumetojobs.com
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Find your next hire or your next role from Hacker News monthly threads. AI-powered matching between candidates and job postings.
6d ago · hnmatchmaker.com
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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…
2023 · github.com
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My friend and I got tired of job hunting (347 applications, 4 responses) so we built AI agents to help job seekers instead of replacing them. The problem: 73% of applications never reach humans, 250+ people apply to each job, but 85% of positions are filled through networking. Our solution: AI agents that find hiring managers for any LinkedIn job, analyze your profile fit, and generate personalized outreach messages. Instead of competing with hundreds in the application pile, you reach decision-makers directly. Technical bits: LangChain + OpenAI for job parsing, Next.js + Supabase, custom…
2025 · jobcompass.ai
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