Introducing GlacierHub

We built GlacierHub because dashboards should not require a data engineering degree. Most teams have the data they need, but the tools to visualize it demand SQL fluency, chart library expertise, and hours of configuration. We think that is backwards.

Dashboards from plain English

GlacierHub lets you describe what you want to see in natural language. Our AI pipeline interprets your intent, discovers the right data sources, and generates a fully interactive visualization in seconds.

"Show me Bitcoin price vs Ethereum over the last 30 days"

That single sentence is enough. GlacierHub handles API discovery, data fetching, chart type selection, and rendering. No configuration files. No drag-and-drop builders. Just describe it and see it.

How it works

The system breaks your query into stages: intent analysis, data source discovery, chart recommendation, and widget generation. Each stage is powered by AI that understands both your question and the structure of the data it finds. If an API returns deeply nested JSON, the system flattens it automatically. If the data is a single value, it renders a KPI card instead of forcing an empty chart.

This is not a template library. Every dashboard is generated fresh from your query, using live data from real APIs. The system learns from every successful query, building a knowledge graph that makes future requests faster and more accurate.

What comes next

We are starting with external data sources like weather, crypto, sports, and finance. Over the coming weeks, we will add support for connecting your own databases, uploading CSVs, and querying internal APIs. The goal is a single interface where anyone on your team can get answers from data without waiting for an engineer to build a dashboard.

We are opening early access soon. If you want to be among the first to try GlacierHub, join the waitlist on our homepage.