All-in-one workspace to tailor resumes to job descriptions
ApplyBoost is a web app that consolidates the resume tailoring workflow into a single workspace. It uses LLMs to rewrite bullet points, identify missing keywords, and scan for ATS compatibility, helping job seekers save time and improve their applications.
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Resume scoring and job matching tool with skill gap roadmaps
Jobpilot is a free tool that scores a user's resume out of 100, identifies missing qualifications, and rebuilds the resume. It then matches the user against real job postings with a fit score and generates a learning roadmap for jobs they don't yet qualify for. The LLM is used to analyze resumes, generate scores, and create personalized roadmaps.
AI-powered job search tool that scores and recommends top jobs
A web tool that queries multiple job APIs, filters and scores listings against a user's career profile using AI, then sends the top 5 matches. It helps job seekers find relevant opportunities efficiently.
JobHunter: AI agent for job applications with human approval
JobHunter is an open-source AI agent that automates job applications while requiring human approval before submission. It uses LLMs to generate tailored resumes and cover letters, and to fill out application forms, but pauses for user review to prevent unwanted applications. It solves the problem of repetitive job searching for individuals who want efficiency without losing control over their applications.
CV AI: AI-powered CV generator that creates polished PDFs in under 60 seconds
CV AI is a web tool that uses an LLM to generate clean, professional CVs as PDFs in under a minute. It solves the problem of messy Word templates and time-consuming design tools for job seekers who want a quick, no-frills resume. The creator built it in 24 hours using 'vibe coding' and has had 9 users test it.
PortLume AI: career-long agent that diagnoses interview failures and builds your profile
PortLume AI is an AI agent that accompanies users throughout their career, not just during job searches. It builds a detailed profile over time, documents experience, and after an interview, analyzes what went wrong stage-by-stage, providing actionable fixes. It uses LLMs to understand user input and generate personalized feedback.