Hatica is a data analytics platform for engineering leaders, ingesting activity from GitHub, Jira, PagerDuty, and CI/CD systems to surface workflow bottlenecks and developer productivity metrics. The stack is modern and distributed (Node.js, GraphQL, React, Go, PostgreSQL, Elasticsearch, ClickHouse) with heavy observability and infrastructure focus (Kubernetes, Terraform, Prometheus, Datadog, New Relic), reflecting core challenges around scaling cloud-native systems and SOC2 compliance that appear in their active project list.
Hatica builds an engineering management and analytics platform for CTOs, engineering managers, and development teams. The product aggregates signals from the entire software development lifecycle—version control, issue tracking, incident management, and CI/CD—and surfaces metrics like DORA scores, cycle time, and review velocity to identify productivity bottlenecks and resource allocation issues. The platform is designed to support data-driven conversations across all levels of engineering organizations, from individual contributors to leadership. The team is small and engineering-focused, based in San Francisco, with active work on infrastructure scaling, design systems, and pipeline automation.
Hatica tracks DORA metrics, cycle time, review time, unreviewed PR merges, resource allocation, work type/priority breakdowns, and developer activity patterns across GitHub, Jira, PagerDuty, and CI/CD systems.
Backend: Node.js, Go, PostgreSQL, Elasticsearch, ClickHouse, Redis. Frontend: React, GraphQL. Infrastructure: AWS, Kubernetes, Terraform. Observability: New Relic, Grafana, Prometheus, Datadog, CloudWatch.
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