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Run queries, browse schema, and ask an AI assistant about DuckDB tables.

This is a lightweight web interface for working with DuckDB data. The homepage text shows a workflow centered on starting to code, browsing the schema, running a query to inspect tables, and using a DuckDB AI chat assistant to ask questions about those queries.
It appears aimed at developers or data users who want a simple way to explore DuckDB interactively. The interface supports schema browsing for understanding available tables and a query runner for testing SQL against them. It also includes an AI chat feature that can answer questions about DuckDB queries, which may help users interpret results or decide what to ask next.
A “Github source code” reference is shown on the page, which suggests the project is code-backed and shareable as source rather than a closed product. Based on the available text, the core value is combining direct query execution with schema inspection and AI-assisted conversation in one place.
Key features:
- Schema Browser for exploring available tables
- Query runner for running SQL against tables
- DuckDB AI Chat for asking questions about queries
- GitHub source code reference on the homepage
- Simple start-to-code workflow from the landing page
- Focused interface for interacting with DuckDB data
The page does not show pricing, integrations, deployment details, or advanced capabilities beyond these visible workflows, so those are not included here.
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