Show HN: Bin - AI business intelligence analyst that turns data into dashboards Bin is an AI business intelligence analyst that turns data into dashboards. Our goal is to make creating dashboards simpler to do than no-code alternatives like PowerBI and Tableau while preserving the powerful customization abilities of raw SQL and Python. Here’s a quick demo: https://www.youtube.com/watch?v=Fsh8M3hIjDA . Customers from our previous product wanted custom dashboards but didn’t want to spend on technical staff to build them. They wanted customizability of the dashboard yet simplicity of the building experience. So, we studied the approaches of Devin, Claude Artifacts, and v0 and wanted a version that was purpose built for making dashboards and admin pages to solve this problem. This way anyone could spin up highly custom dashboards fast without knowing PowerBI, Tableau, Python, or SQL. The interface is similar to Cursor, where you attach database context and then prompt Bin on a side chat to make visual components (charts, cards, graphs). You can then click to add these components onto your panel. On the backend, Bin spins up the components in React code and data queries in Python + SQL code in one go. We’ve wired up Bin with tool calls so that it can make the query given the schema and table context of your selected database, execute the query, and then make the component with the query key passed into our useQuery function. We make all of this code for the component and query viewable and editable on the platform. Once components are added, you can then drag and drop, resize, and reorganize them on the panel layout. The dashboard will self-update over time as more data enters your database (the queries are re-executed with every refresh). After finalizing, you can deploy the dashboard or embed it onto your other internal tools. You can try Bin today on a test database for free at https://bi.new . Please do let us know what you think – we’re open to feedback and suggestions as we continue to improve Bin. https://bi.new January 6, 2025 at 10:20PM
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