Introducing Basedash Suggestions
Max Musing
Max MusingFounder and CEO of Basedash
· July 17, 2026

Max Musing
Max MusingFounder and CEO of Basedash
· July 17, 2026

Today we’re launching Basedash Suggestions — your AI data analyst, now with ideas of its own.
Open Basedash and instead of a blank input waiting for you to think of something, you’ll find personalized suggestions already waiting: questions worth asking about your data, dashboards worth building, automations worth scheduling. They’re generated for you specifically — from the data sources you’ve connected, the chats you’ve had, and the dashboards you’ve already built. Click one, and the analysis starts.
Every BI tool starts you on a blank page. The empty input, the “create dashboard” button, the cursor blinking at you — all of it assumes you already know what to ask. That’s backwards. Knowing which question is worth asking is the hardest part of working with data, and it’s exactly the part a good analyst is supposed to help with.
A great analyst doesn’t sit silently waiting for requests. They walk in with ideas: “your paid social numbers did something weird last week, want me to dig in?” That’s the job. So we taught Basedash to do it.

Suggestions are generated from real context: the tables in your connected sources, what you and your team have been asking in chat, the dashboards and automations you’ve already set up, plus your role and your workspace’s custom AI context. Connect Stripe and a Postgres database full of orders, and you’ll see revenue and order questions. Connect your ad platforms, and dashboards for ad performance start showing up. Everyone on your team sees different suggestions, because everyone’s context is different.
On the chat home, suggestions appear right under the input. They’re not generic prompts — they’re specific to your data, like “Which channels drove last week’s order spike?” or “How is repeat purchase trending by cohort?” One click sends the question, and the agent gets to work: exploring your schema, writing and verifying the queries, and answering with the chart to prove it.
They also stay fresh. Use a suggestion or dismiss it and a new one takes its place, generated with everything Basedash has learned since — including the analysis you just ran. The list quietly regenerates throughout the day, so there’s always a reason to ask one more question.
The dashboards page used to offer a fixed set of templates — our best guesses at what a generic company might want. Those are gone. In their place: dashboard suggestions generated from your actual data, with a name, a description, and a full build plan behind each one.

If your workspace is full of marketing data, you’ll see things like “Ad performance — spend, CPA and ROAS across every channel.” Click it and the dashboard agent builds the whole thing: the charts, the layout, the queries underneath.
Same story for automations. Instead of fixed templates, Basedash suggests the recurring reports it thinks you’d actually want — “Low stock alerts” for an ops-heavy workspace, “Weekly revenue recap” for a founder, “Notable signups” for a sales team. One click configures the automation: what it checks, when it runs, and where it delivers, including straight to Slack.
We’ve been running on Suggestions internally for a few weeks, and it’s changed how we start our days. About half of our new dashboards now begin from a suggestion instead of a written prompt. And because suggestions learn from recent chats, they’ve caught things we weren’t looking for — a churn question suggested the week after a pricing change surfaced an anomaly we’d have found much later on our own.
Suggestions is rolling out to all Basedash workspaces today, on every plan. There’s nothing to configure:
The more you use Basedash — the more chats, dashboards, and automations you create — the sharper the suggestions get.
Business intelligence has always made you do the hardest part alone: figuring out what to look at. With Suggestions, chat, dashboards, and automations all start with the analyst’s ideas instead of a blank page.
Your AI data analyst, now with ideas of its own — live today for every Basedash workspace.
Written by

Founder and CEO of Basedash
Max Musing is the founder and CEO of Basedash, an AI-native business intelligence platform designed to help teams explore analytics and build dashboards without writing SQL. His work focuses on applying large language models to structured data systems, improving query reliability, and building governed analytics workflows for production environments.
Basedash lets you build charts, dashboards, and reports in seconds using all your data.