Vibe.co operates a self-serve streaming TV ad platform for performance marketers, grounded in TypeScript, Python, PostgreSQL, and AWS, with a data foundation built on Kafka, ClickHouse, and Apache Spark. The company is actively adopting Cursor and MCP (model context protocol), signaling an investment in AI-assisted development workflows. Engineering-heavy hiring (7 roles) paired with projects spanning campaign optimization, public API infrastructure, and a Nebula identity graph suggests Vibe is shifting from proprietary targeting toward an open platform layer—a notable departure from traditional walled-garden TV ad tech.
Vibe.co provides a self-serve platform for performance marketers to run streaming TV campaigns with digital-like transparency and ROI measurement. The product integrates transactional data and customer audiences from tools like Klaviyo, Segment, HubSpot, and Northbeam, enabling hyper-targeted Connected TV activation without agency intermediaries. Founded in 2022 and based in New York, the company serves over 10,000 performance-driven brands. Vibe operates across the United States, France, Bulgaria, and Singapore, with hiring velocity accelerating across engineering, product, marketing, and operations.
Vibe.co uses TypeScript, Python, React, and Next.js on the frontend; PostgreSQL and Prisma for the database layer; AWS, Terraform, Docker, and Kubernetes for infrastructure; and Kafka, ClickHouse, and Apache Spark for data pipelines. Salesforce and Outreach power sales operations.
Vibe.co is headquartered in New York City and was founded in 2022. The company employs 201–500 people and operates hiring in the United States, France, Bulgaria, and Singapore.
Vibe.co's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.