A High-Performance, Multi-Filter Dashboard Built with Vercel AI SDK and Supabase
We recently participated in a hackathon where we built Supa-Dash, a fast and efficient multi-filter dashboard that leverages the power of the Vercel AI SDK and Supabase. This project showcases the seamless integration of text-to-SQL visuals, delivering a smooth and interactive user experience.
Key Features
Real-time Data Visualization: Supa-Dash provides real-time, dynamic visualizations based on user-defined filters and queries.
Text-to-SQL Integration: Users can input natural language queries, which are automatically converted into SQL statements using the Vercel AI SDK, enabling effortless data exploration.
Scalable and Performant: Built on top of Next.js and Supabase, Supa-Dash ensures high performance and scalability, handling large datasets with ease.
Tech Stack
Supa-Dash is built using the following cutting-edge technologies:
Next.js: A powerful React framework for building server-side rendered and statically generated web applications.
Supabase: An open-source Firebase alternative that provides a fast and secure PostgreSQL database with real-time capabilities.
Vercel AI SDK: A comprehensive toolkit for integrating AI capabilities into web applications, enabling natural language processing and text-to-SQL conversion.
Tremor: React components to build charts and dashboards.
Drizzle ORM: A modern and intuitive ORM (Object-Relational Mapping) library for TypeScript and JavaScript, simplifying database interactions.
Shadcn UI: A beautifully designed component library that offers a wide range of pre-built UI components, enabling rapid development of visually appealing interfaces.
Live Demo
Check out the live demo of Supa-Dash: Supa-Dash
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