OperatorCheck is an AI agent that verifies a founder’s operational traction claims through structured, semi-automated reference checks. Many B2C founders raise on resumes and vague prior “wins” that investors can’t efficiently diligence (past exits, growth roles, community traction). OperatorCheck identifies critical assertions (e.g., “scaled X app to 1M MAUs,” “led growth at Y unicorn”), then orchestrates lightweight, async reference workflows via email/LinkedIn, public data, and product telemetry where available. It compiles a founder credibility dossier summarizing validated achievements, peer ratings, and red flags—presented in language VCs use internally. - Serves angels, scouts, and small funds drowning in warm intros but starved of real founder signal. - Lets high-competence but under-networked founders prove their track record without warm backchannels. - Differentiated by a data moat of structured reference outcomes and NLP tuned to investor decision frameworks.