Analytics platform for AI-native companies built on SQL and Python
Sundial is a data analytics platform targeting hypergrowth AI startups and Fortune 500 companies. The stack—React, TypeScript, Python, Go, PostgreSQL, Trino, Spark—reflects a modern analytics engine built for both SQL and code-based workflows. Project focus on diagnostic analysis, user retention modeling, and templated reporting suggests a shift toward self-service analytics that abstracts away platform complexity, directly addressing the engineering bottleneck around data platform talent.
Sundial builds an analytics platform for technical and non-technical users to query, model, and report on data without reliance on data engineers. Founded in 2021 and based in Palo Alto, the company operates at 11–50 employees and is focused on mid-market and enterprise segments. Core product areas include cloud-based data modeling, analysis templates for common metrics (signup funnels, user growth, retention), and diagnostic analysis tools. The tech stack runs on PostgreSQL, Trino, and Spark for compute, with a React/TypeScript frontend and GraphQL for API layers.
React, TypeScript, GraphQL, Python, Go, PostgreSQL, OpenSearch, Kubernetes, Trino, Apache Spark, and AWS. The combination spans frontend (React/TS), data querying (Trino/Spark), and infrastructure (Kubernetes/AWS).
Client data modeling for user growth and retention; templated analysis tools (signup funnels, common metrics); productized diagnostic analysis; and a scalable cloud-based data platform to reduce manual reporting and dashboard creation.
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