Introducing Basedash for Slack

Today we’re launching Basedash for Slack. Your AI data analyst now lives in the place your team already talks, and as of this week you can find it in the official Slack Marketplace.

Mention @Basedash in any channel, ask a question in plain English, and the agent queries your connected data sources and replies in the thread with a written answer and the chart behind it, embedded in Slack.

Why we built it

Most data questions start in conversation. Someone asks “how’s revenue trending this month?” in a channel, and then the question goes somewhere else to get answered, like a BI tool, a SQL editor, or a ticket for the data team. By the time the answer comes back, the conversation has moved on.

With Basedash for Slack, the question and the answer stay in the same Slack thread, where the whole team can see them.

Just mention @Basedash

Type @Basedash in any channel or DM and ask away. The agent figures out which of your connected data sources holds the answer, writes and runs the queries, and checks its own work before replying.

While it works, Slack’s native agent status shows that Basedash is thinking, so you know what’s happening from the moment you hit send.

Follow-ups keep their context. Ask “now break that down by plan” in the thread and the agent picks up where it left off. Conversations started in Slack also sync to Basedash, so you can continue the same analysis in either place.

Answers come with charts now

The agent can now reply with a visualization, embedded in the thread as an image. Ask a trend question and the reply shows you the trend as a chart.

Every chart links back to Basedash, so anyone who wants to dig deeper is one click away from the live version.

Automations and insights, delivered to Slack

Basedash can also reach out to you unprompted:

• Automations run on a schedule (for example, “every weekday at 9am, summarize yesterday’s revenue”) and post the report to the channel you choose, charts included.
• Insights watch your data continuously and post when something meaningful changes, like a conversion spike after a pricing change.

Both now support images too, so a scheduled report or a surfaced anomaly arrives with the chart that shows it.

How it works

Under the hood it’s the same AI data analyst that powers Basedash chat: it explores your schema, writes and verifies the SQL, and uses your custom business context. Permissions carry over too: row-level security applies to every Slack question based on who’s asking.

Getting started

Basedash for Slack is available today for all Basedash users:

1. Sign up for Basedash (or log in) and connect your data sources
2. Install the Basedash app from the Slack Marketplace, or from Basedash via the command menu (⌘K → “Install Slack app”)
3. Mention @Basedash in any channel and ask your first question
4. Point your automations and insights at the channels that should hear about them

For setup details, see the Slack app docs.

What’s next

Every team has a channel where the numbers get discussed. Now the analyst is in it.

Install Basedash for Slack today and ask your first question in a channel.