Audience: CTOs, VPs Engineering, platform leaders, and privacy-conscious engineering teams.
Why the data boundary matters
Engineering intelligence depends on sensitive signals: repositories, pull requests, build failures, deployment events, incidents, team structure, and workflow bottlenecks.
Those signals are useful precisely because they are close to the way a company builds software. They can reveal architecture, delivery risk, customer pressure, roadmap priority, operational maturity, and security work.
Self-hosted first as a product principle
Metraly is being built around a self-hosted first model so teams can evaluate engineering health without making another SaaS the default boundary for engineering data.
This does not mean every team has the same deployment needs. It means the default product direction should respect customer-controlled infrastructure and avoid hidden data movement.
What is real now
The public demo uses synthetic data. Live connectors and production workflows should stay status-labeled until the product evidence exists.
That separation keeps the public story honest while still letting teams understand the intended product direction before connecting real engineering systems.