Punt is a social gaming company building a next-generation multiplayer platform with real-time backend and transactional workflows. The stack reveals infrastructure maturity (PostgreSQL, Redis, Elasticsearch, Cassandra) and testing discipline (Selenium, Cypress, Playwright, k6, Artillery), but the active project mix shows organizational friction: simultaneous investment in core gameplay systems, design-system adoption, and from-scratch HR/FP&A buildouts. Hiring acceleration in senior engineering and finance signals scaling pressures around both backend transaction volume and financial operations.
Punt develops social gaming experiences for online multiplayer audiences, operating from Vancouver with a 51–200 person team. The company was founded by veterans in social gaming who identified gaps in market innovation. Product architecture separates a frontend platform (Next.js, React, TypeScript) from a polyglot backend (Node.js, Java, Go, Python) running on managed databases and caches suited to real-time gameplay and transaction volume. Current operational focus spans scaling multiplayer systems, implementing transactional workflows, and establishing corporate infrastructure (HR processes, financial forecasting) typical of a company transitioning from startup to mid-market.
Frontend: Next.js, React, TypeScript, GraphQL. Backend: Node.js, Java, Kotlin, Go, Python, PHP, Laravel, .NET. Data: PostgreSQL, MySQL, DynamoDB, MongoDB, Cassandra, Redis, Elasticsearch. Testing: Selenium, Cypress, Playwright, k6, Artillery.
Core products: next-generation social gaming platform, real-time gameplay backend, transactional workflow system. Infrastructure: frontend architecture scaling, design system adoption. Operations: HR process implementation, financial forecasting and dashboards.
Punt'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.