Supaboard - Ask in plain English. Get accurate answers from your data
Ask questions in plain English. Get accurate, actionable answers from all your business data, no SQL, no waiting. Supaboard connects to 600+ data sources and gives your team the power to analyze, decide, and act instantly. Our built-in agents apply your business logic, so the answers you get are not just smart, but right.
Fully governed. No data leaks. No technical skills required.
Business intelligence, finally for everyone.
Replies
Klariqo AI Voice Assistants
This is the kind of BI shift teams have been waiting for.
Kudos on the launch 🎉
Supaboard AI
@ansh_deb Most definitely! We’d love to hear what you found most interesting about Supaboard, and what we could do to make it even better.
Vadoo AI
Supaboard AI
@inderpreet_singh1 Indeed, it is. With progress happening in every other category, it’s high time business intelligence gets the development it has long deserved.
We’ll keep working day and night to make that happen 💪
Product Hunt
Supaboard AI
@curiouskitty Yes, the BI market is crowded, but there are still major gaps, and that’s exactly why we built Supaboard.
We’ve consistently seen
SMEs and executives stuck with delayed insights because traditional BI requires technical expertise.
Teams struggling to understand the business because their data is scattered across 10+ tools.
Generic AI tools that give answers, but the outputs aren’t reliable or accurate enough to make real decisions.
Supaboard is designed to close these gaps, and we’re seeing businesses switch for precisely these reasons.
Also, If you’ve noticed any other gaps in the BI space that we haven’t addressed, we’d love your feedback. It would mean a lot to our entire team.
This could save me so much time. Right now, every time I need data answers, it's either "learn SQL" or "wait for someone technical" - neither is great when you're trying to make quick decisions. How does it handle nuanced questions? Like "show me trends but exclude outliers from that weird week in March"?
Supaboard AI
@klara_minarikova Loved your question. Let me explain this with an example,
Let’s say someone asks: “Show me trends, but exclude outliers from that weird week in March.”
Step 1: Connect your data sources
Users first connect the sources that power the output, for example:
Data warehouses: Snowflake, BigQuery (and others)
Databases: PostgreSQL, MySQL
Product + revenue: Shopify, Stripe
CRM: HubSpot, Salesforce
Marketing + ads: Google Ads, LinkedIn Ads (and more)
Analytics: Google Analytics 4
Spreadsheets/accounting: Google Sheets, QuickBooks
Step 2: Associate data with an agent (one-time)
You map these sources to an agent and, if needed, add your business logic. This setup is typically done once.
Step 3: Ask in AI Chat (Deep Dive mode)
Then you ask your question in AI Chat using Deep Dive. Supaboard returns insights and suggested charts, which you can pin to a dashboard that updates in real time.
Example (multi-source):
Imagine you connect Shopify (revenue) + Google Ads (spend) + GA4 (sessions / conversion rate), then ask:
Supaboard will typically:
Build a weekly time-series trend for March.
Exclude the specified week (e.g., Mar 10–Mar 16) or apply an outlier rule—depending on what you mean by “outliers.”
Recalculate metrics like revenue, spend, and ROAS on the cleaned data.
Return charts + filters so you can adjust the excluded window without rewriting anything.
I hope this was helpful. Please provide your feedback on how we can improve the product
@rishika_sharma9 Perfect, the Deep Dive example makes it clear. Being able to handle "that weird week" type context is exactly what I needed to know. Multi-source setup looks straightforward. Thanks for walking through it!
This is good stuff! When you say the agents follow our business logic, does this mean that the AI learns from the company data that is uploaded or do I have to configure rules/prompts?
Supaboard AI
Hi @mustassim, thanks for your comment!
It can be a mix of both. If you have a website, SOPs, or perhaps a launch strategy, simply upload them to Knowledge, our agents will proactively query them when relevant to your question.
Add Rules or Evals (with finetuning), and Supaboard ensures agents always follow them, we won't deliver a response unless they pass.
Think of Knowledge as proactive context and Rules/Evals as reactive safeguards.
@aritra_ghosh6 thank you for clarifying! So after the initial setup one can train agents on business specific metrics (CAC, how we define churn etc) to get more accurate insights? How long does this usually take if we're considering an SME?
Supaboard AI
@mustassim Here's what you can expect:
Sign up and connect your data
Data warehouses (Snowflake, BigQuery, etc.) → almost instant
Apps (Salesforce, Stripe, HubSpot, etc.) → usually 5–45 minutes
First-time setup / learning phase
Tool scans and understands your tables & data
Takes 5–30 minutes (small data) up to 1–3 hours (very large/complex schemas) → This happens only once at the beginning
After that, everything is fast
Add or change rules, business logic, guardrails, approved formats, rejection patterns, etc.
Changes apply immediately (usually in seconds)
You can test new queries right away and see the effect instantly
We have multiple paying enterprise clients right now who are using exactly this.
Congratulations on the launch 🎉 🎉
Supaboard AI
@shubham_pratap thank you, Shubham. Please let me know which feature is most useful for you, or if you think we can improve something, once you are done exploring the product.
Rectify
Congrats on the launch, @rishika_sharma9 ! 🙌
Love the idea of just asking questions in plain English and getting actual answers from your data. No SQL, no waiting around, just insights. Really cool stuff, excited to try it out!
Supaboard AI
@umar_lateef Thank you so much for trying it out. I’m glad you liked the idea.
We’ve seen many businesses face this problem firsthand, and each of us on the team has, at some point, struggled with not getting insights on time, getting the wrong insights, or finding BI tools hard to understand. That’s why providing insights in plain english felt like a no-brainer for us.
Thanks again for the appreciation; it means a lot to our whole team.
Rippletide
Congrats on the launch, looks great! Curious about scalability. Have you tested how it performs with millions of documents?
Supaboard AI
@imbjdd Loved your question. Yes, we’ve tested the product with beta users from our ICP, including datasets with millions of rows. We’re also monitoring performance daily and continuously looking for ways to improve.
We’d love to hear what you liked most about the product and especially what you think we can do better.
Congrats on the launch! Supaboard’s agentic BI and 600+ data sources look game-changing.
Supaboard AI
@zeiki_yu Loved your comment, thank you for the good wishes. And yes, you’re absolutely right: Agents help businesses get accurate insights, and with Supaboard, you can connect your stack from 600+ data sources to build a single source of truth.
We’d love to hear your feedback on the product. What do you think we should improve?
600+ connectors is table stakes now. Custom agents that encode business logic before generating answers... that's the part most NL-to-SQL tools skip entirely. They give you fast, confident, wrong results because there's no governance layer. Supaboard baking that in by default is the right call.
Supaboard AI
Hi @piroune_balachandran, this is exactly what we realized when we launched last time. That's why we rebuilt the product with one target to make really accurate answers possible.
Our guardrails are baked into the core agents so when you set up a rule or a eval our answers will have to pass them in order to be a valid response.
That being said I love to hear your feedback on how this works for you and if there is anything we can do to make Supaboard more valuable for you.