This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
dig data uses AI to turn your data into clearer decisions.dig data is a self-hosted AI analytics workspace for PostgreSQL, MySQL, MariaDB, and MongoDB. Ask business questions, build dashboards, and share consistent definitions with your team—all running on your own infrastructure.
Hey Product Hunt 👋
I built dig data because many teams have valuable data in PostgreSQL, MySQL, MariaDB, or MongoDB, but answering simple business questions still requires writing SQL or waiting for an analyst.
dig data runs on your own infrastructure with Docker. It lets teams ask questions in plain language, build dashboards, and share consistent business definitions.
The current beta supports:
• PostgreSQL, MySQL, MariaDB, and MongoDB
• Anthropic and OpenAI
• Read-only database queries
• Team accounts and source-level permissions
• Dashboards and saved insights
• Shared business definitions
• Audit history
• Linux amd64 and arm64 Docker images
This is an early beta, so I’m especially interested in feedback about the setup experience, answer quality, dashboard workflow, and security expectations.
Try it here:
https://digdata.mhesham099.chatg...
What would you want to see before using a tool like this with your team?
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About dig data on Product Hunt
“Self-hosted AI analytics for your business data”
dig data was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #82 on the daily leaderboard. dig data uses AI to turn your data into clearer decisions.dig data is a self-hosted AI analytics workspace for PostgreSQL, MySQL, MariaDB, and MongoDB. Ask business questions, build dashboards, and share consistent definitions with your team—all running on your own infrastructure.
dig data was featured in Analytics (173.9k followers), Developer Tools (520.4k followers) and Artificial Intelligence (479.9k followers) on Product Hunt. Together, these topics include over 227.9k products, making this a competitive space to launch in.
Who hunted dig data?
dig data was hunted by Mahmoud Hesham. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how dig data stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.