Collectibles marketplace with instant liquidity and digital vaulting
Courtyard.io operates a collectibles marketplace (cards, coins, and similar assets) built on Next.js + React Native for the consumer app, with a data and pricing infrastructure using Python, Go, PostgreSQL, and GCP/AWS. The hiring mix—3 staff engineers, data specialists, and ops roles—reflects their focus on two simultaneous scaling challenges: shipping production code into a pricing pipeline (to handle heterogeneous asset valuations) and building anomaly detection systems (to combat adversarial data in a high-volume trading environment). Operations and logistics optimization projects signal they're moving beyond pure software into physical custody and fulfillment.
Courtyard.io is a collectibles platform enabling users to discover, trade, and instantly liquidate physical assets (trading cards, coins, memorabilia). The product combines consumer-facing features—pack openings, marketplace discovery—with a vaulting system (physical storage and logistics) and immediate cash-out mechanisms. The company operates across the United States and is structured as a remote-first organization. Core operational challenges center on pricing heterogeneous inventory, scaling logistics and storage facilities, and maintaining data quality under adversarial conditions (fraud detection in high-frequency trading).
Next.js and React Native for the consumer app, Python and Go for backend services, PostgreSQL for data, GCP and AWS for cloud infrastructure, and Redis for caching. Data science uses Pandas, NumPy, and scikit-learn.
San Francisco, California. Currently hiring across the United States, operating as a remote-first company.
Courtyard.io'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.