ClearShot started with my mom. She was navigating a brutal job market — applying to roles that ghosted her, listings that turned out to be scams, and descriptions so vague she couldn't tell what the job actually was. It wasn't just frustrating. Some of what she encountered felt genuinely unsafe. I built a simple job listing grader to help her cut through the noise.
What started as a tool for one person grew into something bigger. I used ClearShot myself during my own job search — and landed a high-value role in less time than the average job seeker spends just sending applications blindly. The grade worked. The signals were real. And I realized this wasn't just a tool for my family. It was a tool for anyone who's ever spent hours on an application and heard nothing back.
ClearShot has grown from a job listing grader into a job market intelligence platform. We grade listing quality, detect ghost jobs, flag missing salary, surface repost patterns, and help job seekers make decisions based on data — not hope. This product isn't for everyone. But for the people who need it, it changes how they search.
WHERE WE ARE TODAY
ClearShot has graded over 3,400 job listings across LinkedIn, Indeed, Glassdoor, and Handshake. 37% of those listings were skipped by users after seeing the grade. Ghost job patterns have been detected across hundreds of reposted roles. And the platform is still growing — with an application tracker, fit analysis, community signals, and a pre-graded opportunity feed now live for Pro users.
This started as a warning system for one person. It's becoming intelligence infrastructure for how people search for work.
I built ClearShot because I lived the problem. Watching someone I love get burned by the job market — scammed, ghosted, misled — wasn't something I could sit with. So I did something about it. What started as a weekend project became a platform I use myself, that my family uses, and that I'm proud to put in front of anyone who's tired of applying blind. The job market has enough noise. ClearShot cuts through it.
This is just the beginning.
Stop applying blind. Start making decisions based on data.
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