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Cake day: October 28th, 2024

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  • Thanks for the thoughtful feedback, Daniel! You bring up a great point about the complexity of the current approach with the SQL script and the reliance on pbcopy. We’ll definitely consider simplifying it by providing just the raw SQL query, so users can run it in whatever way works best for them. As for the cloud version, we’re leaning towards using LocalStorage for data storage on the client side to keep everything local to the user’s machine, ensuring privacy and control. We’ll make this clearer in the UI and documentation. Appreciate the suggestions - they’re super helpful as we continue refining ChartDB!





  • Hey! I get the AI hesitation - it’s everywhere, and I totally understand if you’re wary of buzzwords! With ChartDB, our focus is on making database diagramming simpler, faster, and visually intuitive without the bloat you sometimes find in other tools. The AI component is there mainly to speed up migrations and adapt the tool to specific SQL dialects, so it’s helpful but not in your face.

    As for why it might work better for you than DBeaver, ChartDB shines if you’re looking for a minimal, open-source way to visualize schemas quickly without needing a full database management suite. It’s lightweight, community-driven, and designed to do one thing really well: diagram and share schemas with simplicity. Plus, we’re always open to feedback and building features that our community finds valuable!