I m building dig data, a self-hosted analytics workspace for PostgreSQL, MySQL, MariaDB, and MongoDB.
Teams can ask business questions in plain language, build dashboards, and share consistent definitions while running Dig and database connections on their own infrastructure.
The beta uses read-only database access, bounded query results, source-level permissions, and an audit history. For AI, admins can choose Anthropic or OpenAI, or connect any OpenAI-compatible Chat Completions server with tool calling. Ollama and LM Studio are examples of compatible servers. Dig does not download or manage models; company context is sent to the configured endpoint, so privacy depends on its location and configuration.
I d love to learn from people who already use BI tools or AI database assistants:
What would make you trust an AI-generated database answer?
Which safeguards are essential?
Do you prefer reviewing the generated query before seeing the result?
What prevents your team from adopting tools like this today?
Which dashboard or collaboration features matter most?
The project is available here: https://digdata.mhesham099.chatg...
Hey Product Hunt 👋
I built dig data for teams who have useful information in PostgreSQL, MySQL, MariaDB, or MongoDB but still need SQL or analyst help to answer everyday questions. With Dig, teams can ask in plain language, inspect results, build dashboards, and share consistent business definitions.
The beta includes:
• PostgreSQL, MySQL, MariaDB, and MongoDB
• Anthropic or OpenAI, or a custom OpenAI-compatible Chat Completions server with tool calling
• Read-only database queries and bounded results
• Team accounts and source-level permissions
• Dashboards, saved insights, shared definitions, and audit history
• Linux amd64 and arm64 Docker images
Admins configure one AI server and model for the team. Ollama and LM Studio are examples of compatible servers; Dig does not download or manage models. Company context is sent to the selected endpoint, so privacy depends on its location and configuration. Dig does not switch to another provider if it fails.
This is an early beta, and I’d value feedback on setup, answer quality, dashboards, and security expectations.
Try it here: https://digdata.mhesham099.chatgpt.site
What would you want to see before using a tool like this with your team?
Dig Data turns plain-language questions about your business data into clear answers and dashboard insights. Bring key metrics together, track totals and trends, and share dashboards with your team so everyone can stay aligned.