Filter and verify public job applicants to stop AI-driven spam

Filter and verify public job applicants to stop AI-driven spam targets a $6.0B = 2M businesses × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 12% YoY estimated for HR tech and recruitment automation (source: industry reports and vendor growth signals, e.g., LinkedIn & HRTech market analyses).

Key trends driving demand: LLM-enabled mass application generation — increases volume of low-signal applications and creates demand for authenticity and intent scoring.; Adoption of automated recruiting tools — hiring teams are already using AI-driven screening, which lowers adoption friction for a specialized anti-spam layer.; Shift to community hiring and public posts — startups and remote teams increasingly hire from public forums, making channel-specific tooling more valuable.; Richer public developer signals — accessible data from GitHub, package managers, and public contributions improves ability to verify candidate authenticity..