Supaboard AI
Ask in plain English. Get accurate answers from your data
2.3K followers
Ask in plain English. Get accurate answers from your data
2.3K followers
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.
This is the 3rd launch from Supaboard AI. View more
Supaboard 3.0
Launching today
Supaboard helps your team turn business data into answers faster. Skip SQL, dashboard digging, and report delays. Ask questions in plain English, analyze data, and generate dashboards in minutes.
Free Options
Launch Team / Built With
Most of my week is reconciling exports between tools that don't talk to each other. If other connectors cover my stack, this kills the whole reporting tuesday. Saved for next quater
Supaboard AI
Hi @dmitry_isaevski
That's exactly the pain we built around. Reporting Tuesday shouldn't exist. We're at 600+ connectors now, happy to check your specific stack if you share the tools over a call, takes a minute.
Been using Supaboard for a while now and it’s been super easy to work with. Love how quickly you can go from asking a question to getting a clear dashboard or insight. It feels intuitive, fast, and really useful for teams working with data. Great job on the launch 👏
Supaboard AI
@yogeshchauhan Thanks so much, Really happy to hear you’re loving Supaboard.
Congrats on the V3 launch! Moving from raw LLM text to deterministic business data is a huge pain. How do your custom 'Master Rulesets' actually prevent prompt injection or override loops? If a user asks a tricky question that contradicts the validation rules, does the agent hallucinate a chart, or does it just gracefully fail?
The thing I always stress-test with AI-analyst tools is auditability — can I trace a stated number back to the assumptions and source rows behind it, or does it just confidently assert a figure? In financial work that traceability is the whole game. Curious how Supaboard handles drill-down and whether the same question gives reproducible answers across runs. (Full disclosure: I build financial models for a living and run a small modeling tool, ModeLoop — so I come at this with a "numbers have to reconcile" bias.)
Spellar AI
What stands out to me most about @Supaboard is how fast the whole experience feels. Going from a question to a usable dashboard in seconds is pretty wild. Feels like the kind of tool that can genuinely change how teams work with data every day.
Congrats on the launch!
Supaboard AI
Hi@hotfixer
Thanks for your support
Supaboard AI
@Supaboard @hotfixer Thanks so much 🙌 Really appreciate the support.
Lancepilot
Congrats on the launch!!, Love the dashboard, it looks clean and easy to understand. The AI feels really fast too. As someone non-technical, I found it very easy to use and genuinely helpful.
Supaboard AI
Hi @istiakahmad
Appreciate the kind words