I’ve been frustrated with the current state of embedded analytics. Most tools fall into two extremes: clunky drag-and-drop interfaces with proprietary languages (like DAX) or full-blown notebooks that aren’t built for speed. There’s a missing middle — a workflow that balances flexibility and ease of use, letting you handle complex data without requiring you to code everything from scratch. So we built Semaphor: an open-standards approach that lets you use SQL & Python to build beautifully styled dashboards 10x faster without the bloat or high costs of traditional BI tools. The legacy BI tools (Power BI, Looker, Tableau) are slow, expensive, and proprietary. We wanted something fast, lightweight, and designed for modern web experience.