
Introducing the Basedash semantic layer
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.

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.

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.
“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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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.

A practical four-layer framework for BI permissions: identity, workspace, dataset, and row level. Covers role design, common mistakes, and how major BI tools enforce access.

BI demos all look the same. Use this 45-question checklist across data, modeling, AI features, governance, pricing, and support to evaluate vendors honestly.

Drag in edit mode froze the page for over a second on big dashboards. The cause was 97 Replicache subscriptions re-running on every keystroke. Here's how we moved the read path to TanStack DB collections backed by SSE, and kept Replicache for writes.

Multi-tenant analytics architecture for SaaS embedded dashboards. Compares silo, pool, and bridge models, where to enforce tenant isolation, and common mistakes.

A practical guide to building a HubSpot analytics dashboard. Metrics, data model, common pitfalls, and tools that fit revenue ops teams.

A step-by-step Looker migration playbook: audit LookML, choose a replacement, rebuild dashboards, run cutover, and decommission. Includes a checklist.

Most SaaS teams track KPIs in a flat list. A metric tree connects a north-star metric to the drivers and inputs people can actually move. Here's how to build one.