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PlayOn Sports Tech Stack

Fan engagement platform for high school sports streaming and ticketing

Software Development Atlanta, Georgia 201–500 employees Privately Held
playonsports.com LinkedIn

PlayOn operates a fan engagement platform anchored on live streaming, ticketing, and event management for high school athletics. The stack spans media production (CloudFront, Akamai, Fastly for CDN delivery), backend services (C#, PostgreSQL, AWS), and monitoring (Prometheus, Grafana, Datadog), with active projects centered on computer vision stats pipelines and AI product expansion — indicating a shift from pure broadcast toward automated content intelligence and monetization infrastructure. Engineering-led hiring (7 of 16 recent roles) reflects the technical complexity of production rollouts and AI integration.

Tech Stack 87 technologies

Core StackFigma Canva C# PostgreSQL AWS CloudFront Akamai Fastly Salesforce Python Java C++ Go Docker Kubernetes Terraform Prometheus Grafana Elasticsearch Datadog Adobe Illustrator After Effects NetSuite TypeScript JavaScript OneDrive Google Drive GCP Azure Photoshop+53 more
AdoptingStripe Connect

What PlayOn Sports Is Building

◆Challenges

  • Scaling computer vision pipeline to production
  • Expanding ai capabilities across product portfolio
  • Maintaining healthy support queues
  • Identifying recurring issues
  • Improving stream quality
  • Optimizing client execution workflows
  • Integrating ai into product line
  • Improving site stability
  • Lack of monetization infrastructure
  • Inconsistent pricing frameworks

▲Active Projects

  • Computer vision stats pipeline production rollout
  • Cross-cutting ai initiative
  • Ai capabilities expansion across product portfolio
  • Improving stream quality
  • Improving overall customer experience
  • Proactive sponsorship opportunities and tentpole calendars
  • Ai-powered product line
  • Monetization infrastructure development
  • Pricing and packaging framework development
  • Ad product operationalization

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
7
Support
3
Product
2
Sales
2
Design
1
Security
1

Seniority

Senior
7
Junior
3
Director
2
Mid
1
Principal
1
Staff
1
VP
1

Notable leadership hires: Director of Engineering

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About PlayOn Sports

PlayOn powers digital experiences for high school sports through two main surfaces: GoFan (ticketing and event management) and NFHS Network (streaming). The platform serves school administrators, athletic departments, and fans across the United States. The tech footprint reveals a media-grade infrastructure (CDN, streaming optimization, broadcast tooling like After Effects) paired with backend services for ticketing, user management, and content delivery. Current work focuses on scaling computer vision pipelines for automated game statistics, expanding AI capabilities across the product, and building monetization and pricing frameworks — suggesting a transition toward higher-margin, data-driven offerings beyond pure streaming.

HeadquartersAtlanta, Georgia
Company Size201–500 employees
Hiring MarketsUnited States

Frequently Asked Questions

What is PlayOn Sports' tech stack?

PlayOn uses C#, PostgreSQL, and AWS for backend services, CloudFront/Akamai/Fastly for content delivery, Kubernetes and Docker for orchestration, and Datadog/Prometheus/Grafana for observability. Frontend relies on TypeScript/JavaScript; design tools include Figma and Adobe Creative Suite.

What is PlayOn Sports working on?

Priority projects include computer vision stats pipeline production rollout, AI capability expansion across the product portfolio, stream quality improvements, and monetization infrastructure development including pricing and packaging frameworks.

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How this profile is built

PlayOn Sports'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.