👋 Hi Product Hunt! We are excited to launch Datixlab – an AI-powered analytics platform that transforms how teams interact with their data. Most organizations have data scattered across multiple systems, but getting answers still requires SQL expertise, dashboards, and manual analysis. Datixlab changes that. Simply connect your data sources and create AI agents that understand your business context. Then ask questions in plain English. Instead of building complex reports, Datixlab helps you get answers instantly. 🚀 What can you do with Datixlab? ✅ Connect multiple data sources PostgreSQL MySQL SQL Server APIs CSV/Excel files Business applications 🤖 Create multiple AI agents Build specialized agents for: Sales Analytics Marketing Analytics Finance Operations Customer Support 💬 Ask questions in natural language Examples: Which products generated the most revenue this month? Why did customer churn increase last week? Compare sales performance across regions. Show top customers by lifetime value. 📊 Generate instant insights Automated summaries Trend analysis KPI tracking Anomaly detection ⚡ Real-time dashboards Stay updated as your data changes. 🔄 Workflow automation Trigger actions based on AI-generated insights. Who is Datixlab for? Startups Product teams Operations teams Business analysts Data analysts Founders Customer success teams Engineering teams Why we built Datixlab We noticed teams spend hours switching between dashboards, writing SQL queries, and manually creating reports. Data should be conversational. Our goal is simple: Turn every employee into a data-driven decision maker without requiring technical expertise. We'd love your feedback ❤️ We're especially interested in hearing: Which data sources would you like us to support? Which AI agents would be most useful for your team? What analytics tasks consume most of your time today? Try Datixlab and let us know what you think! 🌐 Website: Datixlab.com

xAgents

Connect any data source and get answers in natural language

Connect any data source and get answers in natural language