HyperArc is the first AI-native BI platform that learns from your team. Ask questions in plain English, get trusted insights instantly. Built by Tableau and Einstein Analytics veterans. Fast, secure, auditable insights—no SQL skills needed.
Hi Product Hunt Community, I’m Tristan, Co-Founder of HyperArc!
The Problem:
Getting actionable insights from your data is time-consuming and complex for many reasons. You have to start by understanding the data, business logic, and relevant schemas just to get started. After spending hours on an analysis, you end up with a dashboard — but the hard-earned reasoning and knowledge that led to those insights remains locked in the analyst’s mind.
Then, the next time you’re faced with a new analysis, you repeat the process. That’s why your seasoned analysts are so invaluable — it’s the intuition they’ve built up over years of exploring your data.
But what if your BI tool could retain that knowledge for you — acting like an analyst sitting alongside you, learning, observing, and helping?
How HyperArc is Different:
📘 A Notetaker for your Analysis
As you dig through your data, HyperArc summarizes and remembers the analytical path paired with rigorous statistical analysis and summarization. We capture the intuition behind the analysis — in Memories.
⭐️Accessible to All
With the knowledge about your data and how you use it captured as Memories, analytics finally becomes accessible to all. Shoulder tap your virtual analytics agent with questions about not only the data, but how you do analysis in natural language through questions and suggestions. Better yet, unleash the agent to run analysis for you — all backed by Memories relevant to your data.
Go beyond just enabling just humans and empower AI agents with your analytical knowledge through the HyperArc MCP server with semantic search for Memories and insights.
🚀AI for Analytics from the Ground Up
From building Salesforce’s Einstein Analytics — which learned from all the metadata and language inside Salesforce to power semantic search and questions — we saw the gaps in the language data needed to power AI for analytics. HyperArc takes the next step by going beyond simply consuming language — it generates it through Memory synthesis.
AI is built into every step — from prepping dataset metadata to make it AI-ready, to leveraging chain-of-thought Memories for suggestions with graph RAG.
Who It’s For:
Analysts that want to be accelerated by the Cursor for Data with AI augmented analysis and suggestions in a new UX for data built for AI.
Teams that want analysts that can answer questions or help 24/7 through agentic exploration.
Organizations that want to codify the most valuable artifact of analysis, the intuition of analysts, into institutional memory that is accessible to all, from humans to agents.
