OpenBI - AI-Native Business Intelligence Platform

Hey Product Hunt! 👋 I'm Narender, and I built OpenBI out of frustration - every open-source BI tool I tried either required writing SQL, setting up a data team, or sending data to a third-party cloud. I wanted something truly self-hosted where anyone on the team could just ask a question and get an answer. Here's what OpenBI does differently: 🤖 AI Chat with your data — type any question in plain English. MindsDB translates it to SQL, runs it against your live database, and streams back the answer token-by-token with the exact SQL shown so you always know what ran. 📊 Auto-generated dashboards — chat results automatically become AntV G2 charts or pivot tables. Drag, resize, and rearrange widgets on a Gridstack grid. Every widget update broadcasts live over WebSocket so your whole team sees changes in real time. 🧠 Knowledge Base RAG — upload PDFs, CSVs, Excel, Markdown docs into a vector store. Your AI agents query structured databases AND unstructured documents in the same response. Great for combining live sales data with board reports or policy documents. 📄 PDF & PPTX export — one-click PDF capture stored in MongoDB GridFS with full version history. PPTX export uses Presenton (self-hosted AI slide generator) — it reads your dashboard context and generates editable slides in seconds. 📅 Scheduled reports — set a cron expression, pick a dashboard, choose Email + Telegram + Webhook delivery. Reports run automatically, refresh all widget data, and deliver a PDF attachment. No Celery, no Redis queue — just APScheduler running inside FastAPI. 📱 Telegram bot — full mobile interface. Browse dashboards, ask questions, receive PDF/PPTX files, switch projects and agents — all from Telegram. 🔌 90+ data sources — Postgres, MySQL, Snowflake, BigQuery, Stripe, HubSpot, Shopify, GitHub, Notion, and many more. Credentials are encrypted at rest with Fernet — nothing stored in plain text. 🛡️ Fully self-hosted — runs in Docker Compose with 6 services. Your data never leaves your infrastructure. MIT-style open source (CC BY-NC-ND). I'd love feedback on: → The multi-agent @mention routing (mention multiple agents for parallel queries) → The AI PPTX export quality via Presenton → Any data source you wish was supported Drop your questions below — I'm here all day! 🚀