Hey Product Hunt! I’m Max, founder & CEO of Basedash. We first launched @Basedash earlier this year, and now we're back with our first big update.
Today we’re launching the Basedash Agent: an AI chat agent that can answer questions, create visualizations, and surface insights on all your company's data.
The idea is simple: you ask a question in chat, and the agent does the heavy lifting—running SQL on your database, pulling context from 600+ SaaS tools (Linear, HubSpot, GitHub, Slack, and more), and returning a clear answer. When it helps, it can generate a longer report including charts and visualizations that you can pin to dashboards.
You can also add custom context about how your company works, the terminology you use, and the metrics your team cares about. The Basedash Agent takes all this into account every time you ask it a question.
There’s also a Slack integration: just mention Basedash in any channel and get answers right in Slack.
Why it’s different - Grounded in your real, live data - Answers can be text, reports, or visualizations—not just a snippet - Built for teams: now anyone can chat with your business data
Ask it things like - Which segments are trending up this week? Visualize it. - List recent signups that best fit our ICP and explain why. - What’s holding back activation, and which experiments should we try? - What patterns do high-conversion workspaces share?
We’d love your feedback! Tell us the hardest question you wish your team could answer—during launch day we’ll run real prompts and share results.
About Basedash Agent on Product Hunt
“Your AI Data Analyst”
Basedash Agent launched on Product Hunt on September 23rd, 2025 and earned 265 upvotes and 55 comments, placing #7 on the daily leaderboard. Answer questions, create visualizations, and surface insights on all your company's data. Unlock the power of a data analyst with the ease of ChatGPT.
On the analytics side, Basedash Agent competes within Artificial Intelligence, Data & Analytics and Data — topics that collectively have 474.3k followers on Product Hunt. The dashboard above tracks how Basedash Agent performed against the three products that launched closest to it on the same day.
Who hunted Basedash Agent?
Basedash Agent was hunted by Chris Messina. 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.
Chris Messina
Hey Product Hunt! I’m Max, founder & CEO of Basedash. We first launched @Basedash earlier this year, and now we're back with our first big update.
Today we’re launching the Basedash Agent: an AI chat agent that can answer questions, create visualizations, and surface insights on all your company's data.
The idea is simple: you ask a question in chat, and the agent does the heavy lifting—running SQL on your database, pulling context from 600+ SaaS tools (Linear, HubSpot, GitHub, Slack, and more), and returning a clear answer. When it helps, it can generate a longer report including charts and visualizations that you can pin to dashboards.
You can also add custom context about how your company works, the terminology you use, and the metrics your team cares about. The Basedash Agent takes all this into account every time you ask it a question.
There’s also a Slack integration: just mention Basedash in any channel and get answers right in Slack.
Why it’s different
- Grounded in your real, live data
- Answers can be text, reports, or visualizations—not just a snippet
- Built for teams: now anyone can chat with your business data
Ask it things like
- Which segments are trending up this week? Visualize it.
- List recent signups that best fit our ICP and explain why.
- What’s holding back activation, and which experiments should we try?
- What patterns do high-conversion workspaces share?
We’d love your feedback! Tell us the hardest question you wish your team could answer—during launch day we’ll run real prompts and share results.