OrderMyGear operates a full-stack SaaS for distributors and decorators in the promotional products industry. The tech stack—Kubernetes, GCP/AWS/Azure, Rails, Vue, PostgreSQL, Sidekiq—reveals a multi-cloud infrastructure strategy built for scale and observability (Prometheus, Grafana, Datadog, Elasticsearch). Active projects around a unified scalable foundation and observability stack implementation suggest infrastructure-heavy investment to support high-volume transaction processing; pain points around scaling and ecommerce experience align with that trajectory.
OrderMyGear provides an integrated technology platform for promotional product distributors, apparel decorators, team dealers, and suppliers. The product combines online storefronts, product search, team sales workflows, and backend order management into a single SaaS suite. Customers range from small decorators to mid-market distributors. The company operates from Dallas, TX and is hiring across engineering, sales, and support—balanced between junior and senior levels—signaling both platform growth and sales expansion.
OrderMyGear runs on Kubernetes, GCP, AWS, and Azure with infrastructure-as-code (Terraform, AWS CDK, Pulumi). Application layer uses Ruby on Rails and Vue; data flow via PostgreSQL, Sidekiq, GraphQL, and Elasticsearch. Observability powered by Prometheus, Grafana, and Datadog. Sales and CRM systems integrate Salesforce and Outreach.
Current projects include a unified scalable foundation, observability stack implementation, self-service tooling, and improvements to the ecommerce experience. Active focus areas also include reducing manual toil, modernizing legacy systems, and supporting high-volume outbound prospecting for sales.
OrderMyGear (OMG)'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.