Automated personal job search agent that finds, scores, and pushes matches

Automated personal job search agent that finds, scores, and pushes matches targets a $6.0B = 100M active job-seekers willing to pay $60/year for discovery and automation total addressable market with medium saturation and a year-over-year growth rate of 8% YoY estimated for career tools and HR tech consumer adjacent markets (based on HR tech and consumer subscription growth reports).

Key trends driving demand: LLM-driven personalization — LLMs enable natural-language understanding of job descriptions and candidate preferences, making relevance scoring more accurate and useful to job seekers.; Workspace-native workflows — Professionals increasingly store workflows in tools like Notion, so delivering job matches directly into those workspaces removes friction and increases retention.; Automation-first consumer apps — Users expect scheduled and proactive automation (daily digests, alerts) which reduces time-to-value and increases willingness to subscribe.; API availability and structured feeds — More boards and companies publish structured feeds, reducing the need for brittle scraping and enabling reliable aggregation..