A job seeker built an AI tool to find his best-fit companies.

Ted Kilgore was between roles. In two weeks at MakerSquare, he built JobFit: upload your resume and a target role, and get 30 vetted companies ranked by fit — with hiring signals — so the search targets the right doors instead of every door.

The problem every job seeker knows

The job search is a numbers game with terrible targeting. You spray applications, hear nothing, and have no signal on which companies actually fit your background or are even hiring for real. The effort goes into volume when it should go into aim.

What Ted built

You give JobFit your resume and a target role. It researches and returns 30 companies ranked by how well they fit — factoring your background and live hiring signals — so Ted could spend his energy on the 30 that mattered instead of the 300 that didn’t.

It runs on the stack we teach — Claude for the matching and reasoning, Exa for live company research, Supabase to store the shortlist, and Composio to connect his tools. The tool is simple; the value is aim. Ted knew what a good-fit company looked like for him — he built something to find them at scale.

Why this matters

Ted didn’t wait to become technical or pay for another job-search product. He built the exact tool his search needed, because he understood his search better than any generic tool would. That’s the MakerSquare thesis: you already know your problem — we give you the skills to build the solution that fits it.

Two weeks from now, you could have built yours.

MakerSquare is a 2-week in-person AI builder program in Austin for professionals with no coding background. See exactly what you’d build →