Play-and-earn platform connecting game advertisers to 40M+ reward-motivated mobile users
Mistplay operates a two-sided rewarded gaming network: a direct-to-consumer mobile app (Android/iOS) paired with an audience network routing advertisers into partner apps. The stack reveals a data-first engineering culture—PyTorch, Airflow, SageMaker, and a lakehouse architecture support real-time reward modeling and ML-driven core loop optimization, while Salesforce/LinkedIn Sales Navigator handle advertiser acquisition. Current hiring skews heavily toward marketing and design (7 of 9 open roles) at senior/staff level, suggesting a push to scale advertiser relationships and product polish rather than platform infrastructure.
Mistplay is a mobile gaming platform that monetizes through a play-to-earn model, where users engage with games in exchange for rewards. The company operates two revenue channels: a direct app (40M+ registered users across Android and iOS) and the Mistplay Audience Network, which connects game advertisers and publishers to those users. The advertiser side has driven demonstrable results—the platform claims to drive hundreds of thousands in in-app purchase spend for advertisers and up to 2.5x more frequent visits for publishers. Founded in 2015 and headquartered in Montreal, Mistplay is backed by GrowthCurve Capital and serves mid-market to enterprise game companies, brands, and publishers seeking user acquisition and engagement at scale.
Python, PyTorch, Airflow, AWS, SageMaker, Salesforce, Looker, Tableau, AppsFlyer, and a lakehouse architecture for data. Mobile development runs on Android, Kotlin, Jetpack Compose, Node.js, and TypeScript.
Montreal, Quebec, Canada. All current hiring is concentrated in Canada.
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Mistplay'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.