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! 🚀

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Promoted

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17h ago

@mention @narenderkeswani Really interesting combination of AI-native analytics and self-hosting. The RAG layer over documents alongside text-to-SQL stands out, especially for teams whose knowledge is split between databases and internal docs. How do you handle accuracy and validation when an answer pulls from both structured data and unstructured documents in the same query?

2h ago

OpenBI

AI-Native Business Intelligence Platform

AI-Native Business Intelligence Platform