Quick update on @Supaboard AI , It s been 7 hours since we went live on Product Hunt, and we re currently ranked #4
It s been a long day and we re pushing hard. Need a little more support from everyone to get higher,
If you haven t upvoted yet, please take 1 minute and support us here:
https://www.producthunt.com/prod...
And to everyone who already supported us, thank you so much. It genuinely means a lot to us
Supaboard AI
Hey Product Hunt 👋
We launched an earlier version of @Supaboard AI here before, and since then we’ve been focused on one thing: making business intelligence faster, more accurate, and easier for every team to use.
Traditional BI is still too technical for most teams. Too much SQL, too many dashboards, and too much waiting for answers. We built Supaboard to change that.
Since our last launch, Supaboard has evolved into a more complete AI-native BI platform.
What’s new in Supaboard 3.0:
⚡ Completely redesigned UI and smoother analytics workflows
⚡ Much faster performance and response times
⚡ More accurate AI answers powered by business-logic-aware agents
⚡ 700+ data connectors across databases and business tools
⚡ MCP support and built-in tools for more flexible AI workflows
⚡ Stronger governance, security, and controlled data access
Today, Supaboard is used by 1000+ teams, with thousands of dashboards created to help teams make faster decisions with data.
You can sign up for free, start a trial, or book a demo to explore Supaboard.
We’d genuinely love feedback from teams working with analytics, dashboards, reporting, or AI workflows 🙌
Thanks for checking out Supaboard 3.0!
— Team Supaboard
StreamAlive - Interactive PPT slides
This is the product I wish I had in my previous job, trying to manage so many different dashboards and piece together what's happening in multiple Excel sheets. What's the biggest use case you've seen for Supaboard so far? And what is the most surprising thing you've seen someone use Supaboard for?
Supaboard AI
@peterclaridge Thanks so much, Really appreciate that and honestly that’s exactly why we built @Supaboard AI .
The biggest use case we’re seeing is teams bringing together data from multiple sources and getting instant answers or dashboards without needing SQL. A lot around sales, marketing, and weekly business reporting.
The most surprising part has been seeing people use it like a conversation with their data, asking one question, then another, and uncovering insights they weren’t originally looking for. That’s been really exciting to watch.
Supaboard AI
Hi @peterclaridge
Thank you for your kind words. For most our users, this is the exact problem they have faced. The tools may change but the headache remained the same. So we listened to them and shaped our solution around the 1000+ feedback calls and user experience interviews.
The biggest use case we have seen where our product shines is e-commerce, logistics and healthcare industries. For these segments, data is scattered across multiple applications and among various departments. What their data teams do is create agents for various departments and ship a dashboard with said agent. The dashboard gives a realtime birds eye view into things like operations, inventory, etc while the agent takes care of the finer details.
What has truly shocked me is that I have had feedback calls where the user tells me that they generate powerpoint decks straight from Supaboard and use it at his stakeholder's meeting- without changing a single element in the deck. Even I am not that confident, tbh.
Just out of curiosity, what was the worst dashboard sprawl moment at your old job? I collect these.
The "business logic baked in" angle is what makes this interesting over vanilla text-to-SQL. Most tools give you technically correct answers that miss context like fiscal calendars or custom KPI definitions. How do you handle cases where business logic conflicts across different data sources?
Supaboard AI
Hi @dhiraj_patel5
This is the exact point where most "text-to-SQL" tools silently fail you. For them, business logic is a second-class citizen that the AI tries to retrofit onto an answer it has already assumed. When conflicts arise, these systems pick a winner (almost at random) and produce something that looks good enough, that is, as long as you don't know the business well enough to catch it.
Our approach flips that. Business context comes first, the answer comes second. When something does not reconcile, we would rather flag it than fake it.
Supaboard making AI analysts that actually understand business context is a genuinely different angle. I've worked with teams drowning in dashboards that don't surface what matters. We've been building in the AI customer success for data platforms space, and Supaboard touches on something we think about a lot. How do you handle it when a business's key metrics shift midcycle?
Supaboard AI
Hi @shivam_jaiswal36
This one hits closer to home than most. We are not just builders of Supaboard, we are heavy users of it. And being a startup means the business changes every week. Keeping track of shifting metrics is hard enough on its own; having to re-teach the AI what changed every time would make the whole thing unusable.
So we stopped treating metric shifts as edge cases to handle and started treating them as the default state to design for. The AI does not expect a stable definition: it expects change, and adapts accordingly.
Supaboard AI
Hi @olivier_jury
It depends on whether you are willing to do a bit of upfront work.
What makes Supaboard different from vanilla BI tools is that it actually understands how your business operates. That means someone needs to teach it that context once, by setting up agents with your business logic baked in. For a non-technical team, that setup step usually falls on the one person who knows the business best.
Do that well, and you can replace Metabase or Looker entirely. Skip it, and you are better off keeping Supaboard as a complement for now.
mailX by mailwarm
Does Supaboard show the generated queries or transformations so analysts can verify and change them?
Supaboard AI
@thamibenjelloun Yes, Supaboard shows the generated queries, so analysts can verify and edit them.
Supaboard AI
Hi @lakshminath_dondeti
We're not selling you a chatbot wrapper. Supaboard trains domain-specific agents on your actual business data, across 600+ sources, with conversational dashboards on top. The $99 is for the outcome, not the model name on the label.
Think of it this way. You are hiring an employee who is working 9 to 5, costing at least a $1000, versus having an agent that understands your business equally well and can answer your questions, instantly.
Do you still think $99 is too much?