DecisionBox agents ran discoveries and found 130+ insights last week. Now the rest of your team needs to find the right one. Ask is plain-English search over every insight and recommendation discovery produced. Open source, your infra, no hallucinations.
Hey Product Hunt 👋
We launched DecisionBox here last week. Thank you to everyone who upvoted, tried it, broke it, filed issues.
Today we're back with a feature we've been sitting on for a bit: **Ask**.
Quick context in case you missed last week: DecisionBox runs autonomous AI agents on your data warehouse. Point it at BigQuery, Snowflake, Redshift, Databricks whatever — pick a domain pack for your industry — and it goes off and actually finds stuff. Real stuff. Validated against your data. Not hallucinated. At the end of a run you get a pile of insights and recommendations.
Here's the problem that showed up almost immediately. The runs work. They find things. But the dashboards start filling up fast. We ran a discovery against a vacation rental platform and it produced 130+ insights from a single run. A few days later one of our test users asked me "hey, didn't you find something about cancellation rates?" — and I had to go dig through three different discovery runs to find the right one.
That's the problem Ask solves.
First thing I want to say: it is not a chatbot. I know how "AI" + "ask a question" reads in 2026. It is not that. Ask doesn't generate answers. It retrieves them. You type a question in plain English — *what are our biggest retention risks?*, *which recommendations should we prioritize?* — and it surfaces the actual validated insights and recommendations your agents already produced. With the run ID, the confidence score, the affected count, the source query. Traceable all the way back to the SQL.
The semantic part is the thing I actually obsessed over. Ask for "churn signals" and it pulls up findings about cancellation rate, repeat-booking, guest satisfaction — even if none of those exact words are in your question. The whole point is you shouldn't need to remember the phrasing of a finding to get back to it.
One more thing worth flagging: still open source, still AGPL v3, still runs in your own infra. This is a community release, not a paywall feature. (Our enterprise tier adds SSO/RBAC/audit — it doesn't gate Ask.)
What I'm actually curious to know: if you've ever stared at a dashboard thinking *"we have too many insights and nobody looks at them"* — does this help? That was the pain I built it for.
I'll be hanging around in the comments all day. Ask me literally anything.
— Can (DecisionBox team)
Here is a blog post about DecisionBox Ask feature, we have used WanderBricks sample database on Databricks: https://decisionbox.io/blog/ask/
About DecisionBox - Ask on Product Hunt
“Your team's findings, in plain English”
DecisionBox - Ask was submitted on Product Hunt and earned 5 upvotes and 2 comments, placing #82 on the daily leaderboard. DecisionBox agents ran discoveries and found 130+ insights last week. Now the rest of your team needs to find the right one. Ask is plain-English search over every insight and recommendation discovery produced. Open source, your infra, no hallucinations.
DecisionBox - Ask was featured in Open Source (68.3k followers), Artificial Intelligence (466.2k followers), GitHub (41.2k followers) and Data & Analytics (5.5k followers) on Product Hunt. Together, these topics include over 120k products, making this a competitive space to launch in.
Who hunted DecisionBox - Ask?
DecisionBox - Ask was hunted by Can Abacigil. 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 DecisionBox - Ask stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.