Fantasy sports, prediction markets and sports media app for U.S. fans
Underdog runs consumer fantasy and prediction-market apps on a mobile-first stack (React Native, Swift, Kotlin) backed by real-time streaming via Kafka, Flink and Kinesis. Active work on regulatory reporting infrastructure and fraud detection points to compliance pressure as the product scales. Hiring is accelerating and marketing-led, with data and ops close behind, while dbt adoption signals investment in the analytics layer.
Underdog is a Brooklyn, NY-based sports company founded in 2020 that builds consumer products for U.S. sports fans. Its offering spans fantasy sports games, prediction markets, and a media network featuring former athletes, coaches and analysts. The company employs 201–500 people and is privately held. Engineering covers native iOS and Android clients alongside a React Native app, with infrastructure on AWS managed through Terraform. Hiring is concentrated in the United States.
Underdog uses React Native, Swift, Kotlin and Ruby for its apps, AWS with Terraform for infrastructure, Kafka, Flink and Kinesis for streaming, and dbt, Looker and Amplitude for analytics.
Yes, hiring is accelerating, led by marketing with additional demand in data and operations, plus roles in design, engineering, finance, sales and security, all in the United States.
Current projects include regulatory reporting infrastructure, a fraud program, the core betting experience, a bet history feature, and simulation-based pricing models across multiple sports.
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Underdog'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.