Basedash Actions

A BI tool that can take action for you

Artificial Intelligence

Data & Analytics

Business Intelligence

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BI that actually takes action is the missing peice 🔥 the approval-per-step guardrail is smart

Finally something that lets me skip the SQL step entirely. Connected my Postgres in a couple minutes and asked for a churn chart by plan, which came out surprisingly clean without any fiddling.

Curious how this handles more complex queries that need joins across multiple tables - does it figure out the relationships on its own or do you have to map those out somewhere first?

Connected a Postgres database and asked it to show weekly churn by plan. The chart generated in seconds and was actually accurate, which I was not expecting.

How does it handle complex joins across multiple tables when generating charts from natural language?

Connecting my Postgres was painless and the natural language chart builder nailed the visualization on the first try. Wish the dashboard sharing flow was a bit smoother though.

The conversational UI for generating charts feels really considered, you can tell the team obsessed over the small stuff like how follow-up questions modify the existing visualization instead of starting from scratch.

Connected my Postgres database and asked it to show weekly churn by plan in plain English, and it built the chart in seconds. Way easier than dragging fields around in my usual BI tool.

How does it handle really messy or unstructured data sources, like pulling from a NoSQL database or a third-party API that doesn't return clean tables?

The natural language to chart flow feels really polished, like the team actually thought through what happens when a query doesn't quite match the data. That's rare in AI BI tools.

Preview plus approve/reject covers the intent check nicely. The one that's bitten me: the affected-row count you show at preview is a separate query from the write, so under any concurrent traffic the number I approved and the number that actually changes can drift. Do you run the count and the update inside one transaction, or is that preview count more of an estimate?

Kris from @Basedash: AI data analyst here! Super excited about this launch. We built this because we realized that we often wanted to act on all the insights we were getting from our own product. But carrying out these write tasks is still pretty tedious for a non-technical user, whereas technical teams need guardrails in place before non-coders like me can update the database. So we built both :)

Now the agent writes the fix, shows you exactly what it's about to run, and waits for your approval. One click. All with tons of controls. Admins enable edits per connection. Every tool gets its own permission level. Routine operations run automatically, sensitive ones pause for a human, dangerous ones stay blocked. Your rules, enforced every time.

We've run this internally for weeks and it has already changed how our own team operates. The person closest to the customer fixes the issue.

Happy to answer anything!

An LLM writing and running mutating SQL against a real database is exactly the part I'd want the guardrails on. When it says 'update the state of a hundred items', does it show me the statement and the affected-row count before it runs, and does it wrap the write in a transaction I can roll back? The classic failure is a dropped WHERE turning a 100-row update into 100k, and the model sounds equally confident either way. Preview plus row-count plus rollback is what would get me to flip 'allow edits' on in prod.

Love that the natural language input sits front and center instead of burying it behind a SQL editor or settings panel. The "describe what you want" framing makes it feel like a creative tool rather than another BI dashboard.