Build AI Text-to-SQL Full-Stack MVP — React + NestJS + Supabase

I'm looking for a full-stack developer to build a small MVP that allows users to query a database using normal human language. The idea is simple: User asks a question → AI generates SQL → SQL runs against Supabase → Results appear in the React UI Example A user enters: "Show me the top 10 customers by total spending." The AI should understand the question, generate the appropriate SQL query, execute it against our Supabase/PostgreSQL database, and display the results in the application. Another example: "How many orders did we receive last month?" The application should generate the SQL, execute it, and show the result to the user. Tech Stack Frontend React TypeScript Clean, simple UI Backend NestJS TypeScript REST API Database Supabase / PostgreSQL AI OpenAI, Claude, Gemini, or another suitable LLM I'm open to your recommendation for the AI model. MVP Requirements I want to start with a small working MVP rather than a large production system. React Frontend Build a simple interface where the user can: Enter a natural-language question Submit the question See the generated SQL See the query results in a table See loading/error states Ask another question For example: Question Show the top 10 products by sales Generated SQL SELECT ... Results Product Sales Product A 24,500 Product B 18,200 Product C 14,700 The UI doesn't need to be overly complicated. I mainly want a clean and functional MVP. NestJS Backend The backend should: Receive the user's natural-language question Provide the relevant database schema/context to the AI Generate SQL Validate the generated SQL Execute the query against Supabase/PostgreSQL Return the SQL and results to the React application Handle errors properly I'm looking to start with a small MVP and continue development with the right developer if the initial implementation goes well.