Technical hiring platform for evaluating developer skill at scale
CoderPad is a technical hiring platform used by thousands of organizations to assess engineering candidates across real-world tasks rather than test formats. The product roadmap reveals a sales-heavy operational focus: active projects center on demo environments, PoC support, API/ATS integrations, and expansion-signal routing, while stated pain points track churn and renewal processes — suggesting the business is transitioning from pure product-led adoption toward account expansion and retention infrastructure.
CoderPad operates a technical hiring platform designed for talent acquisition and engineering teams evaluating developer candidates. The platform is deployed across 4,000+ organizations in 165+ countries. Product architecture includes integrations with major HR systems (Greenhouse, Lever, Workday, HubSpot) and operates on a SaaS model supported by Go, Python, Node.js, and React—deployed on AWS and GCP with monitoring via Datadog and Prometheus. The company is headquartered in San Francisco and maintains 51–200 employees.
CoderPad runs on Go, Python, Node.js, and React, deployed via AWS/GCP on Kubernetes with Terraform IaC. Observability layers include Datadog, Prometheus, and Grafana. Integrations span Salesforce, HubSpot, Greenhouse, Lever, and Workday for HR/CRM workflows.
Active initiatives focus on demo environment design, PoC workflow support, API/ATS integration configuration, and expansion signal detection. The roadmap signals a shift toward account expansion and renewal process improvement, reflecting churn and high-volume renewal as stated operational challenges.
CoderPad'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.