I built InsyteSage (https://insytesage.ai) to solve a common problem I faced: business teams waiting on data analysts for every analysis request, and non-analysts struggling to start meaningful data exploration.

How it works: - Upload data (or use provided public datasets like NSW property sales) - Describe your columns - Ask your business question in plain English (e.g. "compare user engagement in different regions") - Get a structured analysis plan with visualizations and statistical insights - Refine analysis through natural language prompts

Technical details: - Uses LLMs to understand business context and generate analysis plans - Implements statistical methods for hypothesis testing - Generates visualizations based on data characteristics - Built with Python/FastAPI, supabase backend, React frontend

You can try it immediately with public datasets. Just create an account for free and create an analysis using any of the public datasets.

Looking for feedback especially on: 1. Analysis quality and relevance 2. Natural language interaction 3. Types of analyses you'd want automated

This is my first substantial project after years of building data pipelines and analytics systems. Built it because I believe data analysis should be more accessible to business teams.