PRODUCT HUNT#1 Product of the Week
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4.9
The AI data
analyst your whole
team can trust
Supaboard reads from 700+ sources and answers questions in plain English. Every answer arrives with its chart, its numbers and the SQL behind them, so it can be checked before anyone acts on it. Setting up your first analysis takes about 5 minutes.
Trusted by 1,000+ businesses
What changes when nobody has to wait for the analyst
10x Cost saving from day 1
Jindal Healthcare moved their exploratory analysis work to agents and cut total analysis cost by 90%
Read Case StudyAnalysis: 2 Days to 4 Mins
Objection AI cut exploratory analysis from 2 days to 4 minutes, ending the wait for analysts
Read Case Study97.8% Accuracy on the BI Bench
LegendEHR tuned agents on their rules and verified queries, then graded it until the answers held
Read Case Study
The work a data team does by hand, handed to agents you can check
1. Context Management Suite
Agents that know how your business counts things
Context Agents
Load the rules, the definitions and the gotchas per table, so an agent knows what your team means by “active customer”
Agent memory
Tell the agent something once in chat, like discard vendors with failed compliance, and it's saved to memory and applied automatically from then on
Graded by evals
Write the questions you already know the answers to. An agent ships when it passes them, not before
2. Embeddable Analytics
Dashboards your customers can use, inside your own product
Realtime Dashboards & Live Datasites
Describe what you want to watch. The charts get picked, wired to live data, and laid out as one board, or as a whole datasite on a link you can send
Embeds
One iframe into your own product. You pick which filters the viewer controls, and whether the page demands a signed token before it loads
Insights
Every chart writes up what changed beside it: which segment moved, by how much, and what it means if the trend holds
3. Automations & Workflows
The Monday report, without the Monday
Scheduled Reports
Describe the report once. It runs on your schedule and arrives already written up
Run History
Every run is logged. See when it fired, what each step returned, and why, with no digging required
AI Analyst Steps
Add Ask Analysts as a step in the workflow, and it runs fresh, analyzing your data live, every single time the automation fires
Enterprise Grade Security

GDPR
Built to the EU’s data protection rules, including where your data is processed.
Data Encryption
Connection credentials are encrypted at rest, scoped per workspace, and never logged or returned to the browser.

SOC2 Type II
Controls audited by an outside firm, over a period, not on one day.
Your data stays yours
The query layer rejects DROP, INSERT, UPDATE and every other write before it reaches your database.

HIPAA
A signed BAA, and infrastructure that can hold protected health information.
Secure Integrations
Verified variables scope every query to the signed-in user's own data.
Plugs into the tools you already use
Connect everything,
ask anything
700+ sources in total, across all three groups. Business and Enterprise reach every one; Individual connects 20+ SQL-native sources.
All Connectors1. Database, Data Warehouse & Data Lakes













- +50
2. Business Apps










- +600
3. MCP Connections






- +5
AI business intelligence, built for the gap legacy BI and generic AI left behind
Every figure in the wider comparison is read from the vendor’s own page and dated, including where each one beats us — see all 14 platforms compared. For where Supaboard is the wrong tool and what to require of anything in this category, including us, read on.
What you would use it instead of
Not your dashboards. A dashboard answers a question somebody planned for, which is useful, and the reason dashboards are not going away. Supaboard is for the other questions: the ones that come up on a Tuesday, matter for an hour, and were never worth raising a ticket for.
That is where analyst backlogs come from, and where most teams give up and export to a spreadsheet instead. Supaboard does not replace a governed reporting layer. It removes the queue in front of the questions that never justified building one.
What AI has not changed
Bad data still produces bad answers, now faster and with more confidence, which is worse. If two systems disagree about what counts as a customer, an agent picks one and sounds certain about it.
Governance matters more, not less. A tool that lets four hundred people query production needs read-only enforcement, row-level access and an audit trail, or it is a data-loss incident waiting for a slow afternoon.
And someone still has to own what the numbers mean. What changes is that they write it down once, as rules the agent applies, instead of re-encoding them in every report.
Where Supaboard is the wrong tool
Three cases, and none of them is unusual.
If two teams disagree about what a metric means, you need a semantic layer that enforces one answer, not a tool that produces a defensible number per question. Looker is built for that. We are not.
If you need paginated output that prints identically every month, that is a reporting product's job, and we do not do it.
And if your data is already modelled, clean and stable, and the questions do not change, conventional BI does that job for less money. Power BI Pro is $14 per user per month billed yearly against our $208 on Business, and Metabase's open-source edition is free to license. The case for AI BI is not that it builds better dashboards. It is that most companies have a backlog of questions that never became dashboards, and that backlog is where the cost sits.
How to evaluate this, including against us
Most trials fail by testing the wrong question. Ask any tool something you already have a report for and it will look good, because the answer is a lookup. Test the questions that never became reports, and apply these five checks to us as readily as to anyone else.
- Can you see the query?
- If not, you cannot tell a right answer from a plausible one, and nobody senior will sign off on the output.
- What happens on the second question?
- The follow-up is where a tool either carries context or starts over.
- How do you correct it?
- A tool you cannot teach will make the same mistake every week. Ask what happens to a correction after you make it.
- What does it cost as usage grows?
- Per-query and token-metered pricing punishes the adoption you were trying to create.
- Can it reach your data as it is, or does it need a warehouse first?
- A modelling project is a fine answer. It should be a decision rather than a surprise.
The people who replaced their reporting stack, on how it went
Most data analytics tools are either too complex for everyday users or too basic for meaningful insights. But Supaboard brilliantly bridges this gap.
Karthik (KP) Puvvada, HoC, Netlify Supaboard has fundamentally changed how we run our revenue cycle. What earlier took our team over four hours now takes under three minutes, and we’ve lowered our analytics cost by nearly 90%.
Sanjiv Garg, CEO, JindalX We have connected everything, from LinkedIn Ads, local DB, to Asana, Supaboard has been our one source of truth trusted by every team member, we don’t even need a analysis team.
Kyle C Grant-Talbot, CTO, The Primary
“Supaboard is committed to delivering the top business intelligence platform for those who demand excellence.”

Your data has the answers
Supaboard starts at $83 per user per month billed annually, with a 14-day free trial and no credit card. Every plan is per seat with usage credits included, so the fifth question in a session costs nothing. SOC 2 Type II covers every plan; HIPAA BAA: Enterprise, add-on on Business.






















Tableau /
PowerBI
Looker /
Metabase
ChatGPT & Co