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Why we built dumbledor

Batch pipelines and stale dashboards were slowing teams down. We wanted metrics that move at the speed you ship.

Maya ChenCo-founder4 min read

Every product team we talked to had the same complaint: by the time a chart updated, the sprint was already over. Analytics felt like archaeology, not instrumentation.

We started dumbledor with one constraint. Events should land in under a second, dashboards should be useful on day one, and privacy controls should not be an enterprise upsell.

Real-time by default

Most tools treat live data as a premium feature. We flipped that. Every plan gets streaming ingestion, live counters, and segment updates without waiting for nightly jobs.

Built for builders

A small SDK, a clean REST API, and dashboards you can stand up in minutes. No six-week implementation project. No dedicated data team required to get value.

If you are shipping fast, your metrics should keep up. That is the product we set out to build, and it is the product we are shipping today.