
How we cut our client bundle from 26 MB to 18 MB
We ran rollup-plugin-visualizer against the Basedash client bundle and found 7 MiB of stuff we didn't need to ship. Here's what was in there, why, and how we got rid of it.

We ran rollup-plugin-visualizer against the Basedash client bundle and found 7 MiB of stuff we didn't need to ship. Here's what was in there, why, and how we got rid of it.

Create reusable SQL definitions for metrics and models, then let Basedash AI reference them across chat, charts, dashboards, insights, and automations. Define the metric once. Use it everywhere.

Embed Basedash inside your own product so your customers get dashboards and the Basedash AI agent on their own data — without ever leaving you. Row-level security keeps every customer to their own data. Analytics, inside your product.

How we replaced a one-size-fits-all subquery wrapper with an AST-based query rewriter, and finally got SQL Server, Spanner, and Athena pagination to actually work.
“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg Demoge
Co-founder & CPO · FullEnrich
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“Before Basedash, reports could take weeks of back and forth. Now, they can be ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
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A practical guide for letting ChatGPT, Claude, MCP servers, and custom AI agents query your business data without leaking PII, blowing up your warehouse bill, or giving an LLM root access.

Today we're launching the Basedash MCP server — a single URL that drops your data analyst into Claude Code, Cursor, ChatGPT, Windsurf, or any MCP-compatible client. Ask data questions where you already work.

Today we're launching the Dashboard Agent — the first AI agent that builds entire dashboards end-to-end. Describe what you want to track and Basedash picks the chart types, writes the SQL, and lays everything out for you.

Today we’re excited to introduce Autopilot, the next evolution of Basedash. Autopilot is an AI agent that proactively analyzes your data, finds the most important insights, and automatically surfaces them to your team.

At Basedash, we built an AI agent that acts as a 24/7 data analyst and PM—analyzing all our business data, surfacing insights, and guiding product decisions. The result? A 10× increase in activation rate and faster growth than ever.

Basedash is now publicly available. It’s a powerful, AI-native BI tool that lets you connect any data source and instantly get insights. Describe a chart or ask a question—Basedash handles the rest. Built for the AI era, designed to empower teams.

Compare seven BI tools with built-in semantic layers — Basedash, Holistics, Looker, Omni, Lightdash, Power BI, and ThoughtSpot — across modeling approach, metric expressiveness, governance, AI readiness, and self-service.

Power BI works, until it doesn't. Compare 8 alternatives by cost, AI features, semantic layer support, Mac/web access, and how migrations actually go.

A practical guide to connecting MongoDB to a BI tool. Covers Atlas SQL, the legacy BI Connector, ETL to a warehouse, schema tradeoffs, and tool options.

AI BI tools sometimes return wrong SQL, wrong charts, and wrong explanations. A practical guide to where hallucinations happen and how to design around them.

When DuckDB is the right backend for a BI tool. Covers production patterns, where it beats Snowflake or BigQuery, and where it breaks down.

A workflow guide to building a board reporting dashboard. Covers the four sections to include, the metrics that belong in each, layout patterns, narrative, and cadence.