get a FN job: stop sending generic resumes. land more interviews.

i built this nearly three years ago as a custom gpt. when openai gave paying users the ability to create custom gpts, i was deep into prompt building. i had built a meta-prompt called promptimizer that helped me structure nearly every prompt i wrote for two years. so when the gpt builder dropped, i knew exactly what i wanted to make. i called it get a f#@&ing job. i built a career repository first. i called it my work history system of truth. every role. 15 to 20 factual bullets per job. my responsibilities and successes. then i'd find a role on linkedin, paste the job description into the gpt, and get a fit score. i built the scoring myself, based on a decade as an operator in staffing and recruiting. i knew what a good match actually looked like. i started applying to anything above a 6. i wasn't getting callbacks. so i adapted: 8 or above only. that changed things. 8.5 and above, i was certain (65%) to get a first round invite. a 9 or better? i was getting to the first round nearly 90% of the time. i didn't plan to productize it. friends started asking to use it. then more friends. they wouldn't stop asking, so i built it for real. some of those same same people have been using it for four months now. they've shaped what it is today. i take every piece of feedback seriously and i keep building. your journey starts with a resume upload. my analyzer ingests it, then asks 10 onboarding questions tailored to your background. the more specific your answers, the better your career repository tells your story. from there, every jd you paste gets scored against your actual background. you see your fit score, real gaps, and get tailored resume and cover letter output that uses your numbers. i also shipped a chrome extension that checks your fit score directly from linkedin and other major job boards. no copy-pasting required. pricing starts at $3, which is enough to build your career repository and run a few fit checks with a resume and cover letter included. already live. already paying customers. built on react, node.js, supabase, and stripe.