Find Apache Superset Developer Leads on GitHub

Who Builds with Apache Superset?

Apache Superset is the open-source business intelligence platform with 63,000+ GitHub stars — one of the most starred data projects on GitHub. Developers deploying Superset are data engineers, analytics engineers, and platform engineers responsible for self-hosted BI infrastructure. They choose data warehouses, compute platforms, authentication providers, and embedding solutions — and they show up on GitHub.

Superset sits at the intersection of data infrastructure and business intelligence. Companies deploying it at scale have significant cloud spend and ongoing infrastructure needs. Developers configuring Superset are evaluating databases, caching layers, embedding frameworks, and security tooling simultaneously — making them a high-value target for multiple B2B categories.

GitHub Signals for Apache Superset Developers

• New star on apache/superset — developer evaluating self-hosted BI; signal for data warehouses, cloud infrastructure, and auth tooling
• New star on Redash or Metabase repos — Superset alternatives; developer actively comparing BI options
• New star on preset-io/preset-cli — Preset (managed Superset); developer moving to cloud Superset; strong SaaS intent
• Keyword "superset" + "docker" or "kubernetes" in repos → DevOps engineer deploying Superset; K8s and container infra signal
• Keyword "superset" + "embedded" in Issues → developer embedding Superset dashboards; target embedding and auth platforms
• Keyword "superset" + "authentication" or "SSO" → security/auth buying signal; target Okta, Auth0, WorkOS competitors

Repos to Track in the Superset Ecosystem

• apache/superset — 63k+ stars; core BI platform; any new star is a data/BI evaluation signal
• preset-io/preset-cli — managed Superset CLI; stars = cloud BI migration intent
• apache/superset issues tagged "database" — developers adding new database connections; strong data warehouse signal
• getredash/redash — Superset alternative; cross-evaluation signal for BI tooling
• metabase/metabase — Superset alternative; developers evaluating the self-hosted BI space
• lightdash/lightdash — dbt-native BI alternative; analytics engineers evaluating options

Keyword Signals for Superset Buyers

• "superset" + "snowflake" or "databricks" → analyst or engineer connecting to a cloud warehouse; strong data infra signal
• "superset" + "embed" or "iframe" → developer embedding dashboards in product; target embedded analytics and SDK vendors
• "superset" + "SAML" or "OAuth" → enterprise SSO integration; target identity providers and auth platforms
• "superset" + "cache" or "redis" → performance-focused deployment; target Redis and caching infra vendors
• "superset" + "helm" or "k8s" → platform engineer managing production Superset; K8s and GitOps tooling signal
• "superset" + "custom viz" or "plugin" → developer extending Superset with custom visualizations; target charting and frontend tooling

Enriched Superset Lead Data

// Example: Apache Superset developer lead from GitLeads
{
  name: "Rahul Sharma",
  github_username: "rsharma-data",
  email: "rahul@enterprise.com",
  company: "Enterprise Corp",
  bio: "Data Platform | Apache Superset, Airflow, Snowflake, K8s",
  location: "Pune, India",
  followers: 145,
  top_languages: ["Python", "TypeScript", "SQL"],
  signal: "starred apache/superset",
  signal_context: "Also starred preset-io/preset-cli — evaluating managed Superset"
}

ICP Patterns for Superset Developer Leads

• Star on apache/superset + "data engineer" or "analytics" in bio → classic self-hosted BI buyer; high value for warehouses and compute
• Superset star + Airflow in bio or repos → data platform team managing full ELT + BI stack; target both orchestration and BI tooling
• Keyword "superset" + "enterprise" in Issues → buyer evaluating Superset for large-scale deployment; SSO, auth, and enterprise infra signal
• Star on apache/superset + high follower count → senior data engineer or data lead with purchasing influence; worth personalized outreach
• "superset" + "dashboard" + "API" in Issues → developer automating dashboard management; target admin tooling and orchestration