Basedash now suggests the analysis before you ask. It studies your connected data, your past chats, and the dashboards you've built, then generates personalized suggestions — questions worth asking, dashboards worth building, automations worth scheduling. Click one and the work starts. Used ideas are replaced with fresh ones, so the well never runs dry. Every suggestion is generated per person, for growth, finance, and ops alike. No more blank page. Your analyst makes the first move.
Hey everyone, Max here from Basedash.
Today we're launching Suggestions: personalized starting points for chats, dashboards, and automations, generated from your own data.
Every BI tool starts you on a blank page and it's on you to know what to ask. Basedash now flips the script and makes the first move for you.
It looks at what you've connected, what you've asked before, and what you've already built, then suggests real next steps. The chat home offers questions like "Which channels drove last week's order spike?", the dashboards page proposes dashboards like "Ad performance" built from your actual sources, and automations suggests reports like "Low stock alerts" ready to schedule. One click runs the whole thing, and used suggestions are replaced with fresh ones.
We've been running on this internally for a few weeks: about half of our new dashboards now start from a suggestion instead of a written prompt, and the chat suggestions have surfaced anomalies we hadn't thought to check.
Suggestions is live today for every Basedash workspace, on every plan. Happy to answer anything.
How do you balance suggesting high-value analyses without overwhelming users with too many options?
love how the natural language to chart flow actually feels conversational, like it knows what im trying to ask even when i word it weird. the connect and visualize step is really well thought out
Would love to see a way to share a generated chart with the underlying SQL or prompt attached, so teammates can tweak it themselves without starting from scratch.
Accountant here. I think suggestions-first is a smart idea.
Does it explain why it thinks an analysis is worth running, or just offer the chart? Usually what builds trust with people who don't live in the data, is knowing "why."
Asked it to chart churn by signup source and it nailed the SQL on the first try, which honestly surprised me. Wish it had more chart customization options though.
Congrats on the launch! The natural-language-to-chart flow is compelling, but the part I always want to see proven: what happens when the AI gets the query subtly wrong? A dashboard that's confidently 8% off is worse than no dashboard bad SQL fails loudly, bad AI-SQL fails silently. Do you surface the generated query for review, or otherwise let a non-SQL user verify the chart is actually counting what they think it's counting? That verification loop is what would make me trust it with revenue numbers.
We’re very excited about this launch! Customers have been asking us about templates for a while now. We wanted to do something a bit more dynamic and tailored to their own data, hence how we’ve structured it with suggestions. Give it a whirl and let us know what you think!
The useful version of an analyst agent is not just “here are ideas.” It is ideas with the query path, source tables, assumptions, and why-now signal attached so an operator can decide whether to act, ignore, or turn it into a monitored metric.
Nice idea. Does it explain why it picked a suggestion, or does it just surface the output?
The "ideas of its own" framing is the interesting part — most analyst tools wait for a question. How do you keep proactive suggestions from becoming noise once someone's dataset gets large and the tool has a lot it could say? Curious what the signal-to-noise tuning looked like.
Useful and - logical. Moving away from telling AI what do exactly to expecting new insights from it. I’m sure AI is capable enough of moving away from such junior BI analyst role.
About Basedash Suggestions on Product Hunt
“Your AI data analyst, now with ideas of its own.”
Basedash Suggestions launched on Product Hunt on July 17th, 2026 and earned 142 upvotes and 19 comments, placing #6 on the daily leaderboard. Basedash now suggests the analysis before you ask. It studies your connected data, your past chats, and the dashboards you've built, then generates personalized suggestions — questions worth asking, dashboards worth building, automations worth scheduling. Click one and the work starts. Used ideas are replaced with fresh ones, so the well never runs dry. Every suggestion is generated per person, for growth, finance, and ops alike. No more blank page. Your analyst makes the first move.
Basedash Suggestions was featured in Artificial Intelligence (473.7k followers), Data & Analytics (5.7k followers) and Business Intelligence (3.7k followers) on Product Hunt. Together, these topics include over 112.5k products, making this a competitive space to launch in.
Who hunted Basedash Suggestions?
Basedash Suggestions was hunted by Max Musing. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Basedash Suggestions stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Max Musing