Radar for Hidden Job Markets

Most job seekers do the visible work: LinkedIn scroll, network outreach, referrals, and regular job boards. That is necessary, but incomplete. A large share of high-quality openings lives in systems your daily workflow never touches.

I noticed this in platforms like Ashby and Greenhouse, where many startup and Silicon Valley roles show up early and often with cleaner apply experiences. So instead of manually building search strings forever, I designed an AI-powered dashboard that scans these channels on a schedule and surfaces only high-fit roles.

The agent runs twice a week (Tuesday and Friday), reads new job descriptions, compares them against resume variants, and scores fit confidence. It then updates a dashboard with four practical states: new roles, prioritized-now, applied, and skipped.

Article visual

This turns job search into a system. Instead of reacting to random listings, you operate from ranked opportunities with clear reasons: why this role matches, what is missing, and whether to apply immediately. The best part is mobile-first execution. You can review and apply during a commute, not after a three-hour desktop ritual.

Dashboard logic

  • Scheduled discovery across target hiring platforms
  • ATS-style fit check against resume variants
  • Confidence score + urgency recommendation
  • Application tracking: applied, pending, skipped