OrcaSheets is local-first analytics that runs on your laptop, letting you ask questions in plain English and get instant answers from unlimited data. Automate repetitive work, connect your databases, and eliminate cloud bills–all in a lightweight tool that keeps your data yours.
What kinds of plain English questions can it reliably answer?
@abhinandan_satpute Pretty much anything you'd normally need SQL or a pivot table for. Think along the lines of "what were my top 10 products by revenue last quarter" or "show me month-over-month churn trends" or "which region had the highest returns in Q3."
Aggregations, comparisons, filtering, trend analysis, cross-referencing across columns. You just ask in plain English (typos included) and get your answer.
If you can say it out loud to a colleague, you can ask OrcaSheets. :)
While Doubling down on a use-case, we often assume the context is still part or may be a fork of context has been done to address a different thread, how does it happen using OrcaSheets ?
@sai_siddhant Great question, Sai!
Context in OrcaSheets is derived from the sheet you're querying. We pass the metadata of your data like column names and statistics, so it always understands what it's working with. No raw data is sent anywhere. When you switch to a different sheet, the context updates automatically to match that dataset.
For enterprise users, we go deeper and build a more holistic context layer across your data ecosystem, so the intelligence gets richer the more you use it.
@mj_jadhav213 the context am more curious about is, context about userXUse-case(1)
& while doubling up on they happen to go with userXUse-case(1)XThread(1), userXUse-case(1)XThread(2). I believe the context you mentioned about is the context about the data present on sheets/data-source.
Wow. It actually understands the relationships between my tables without me having to map them manually. This is going to save us so much time. congrats on the launch!
@shahmeer_baloch1 Right? That aha moment is exactly what we designed for. Manual mapping is one of those things nobody should have to deal with anymore. Glad it clicked for you right away. Thanks for the congrats and welcome aboard.
As a cybersecurity practitioner, I regularly pull millions of signals and inventory records from multiple vendors and try to join them for real analysis — trends, aggregations, cross-vendor correlation.
At that scale, you’re usually forced into expensive cloud analytics. The cost makes exploration painful, and pushing sensitive security intel to third-party cloud tools isn’t always acceptable.
I tried Orcasheets locally with a few million records across four datasets — joins, filters, dashboards — all on my laptop. No cloud setup. No data egress concerns. No runaway compute bill.
If this scales the way it looks so far, this is genuinely compelling for security teams.
@anudeep_kumar4 This is one of the best use cases we've heard. Cybersecurity is exactly the kind of space where local-first isn't just a nice-to-have, it's a requirement. Sensitive intel, massive datasets and zero tolerance for data egress. You get it.
Really glad it held up with multi-million record joins on your laptop. That's what we built it for. Would love to stay connected as you push it further. Your feedback from this space is incredibly valuable to us.
Super excited for the official launch. I’ve loved using Orcasheets—especially how quickly I can query data with LLMs.
@piyush_bhatt1 So glad you're already in it! Having early users who genuinely get the product means the world to us. Thanks for the support and keep those queries coming.
Loopin
Looks great! Excited to try it out!
@anurag_varma Thanks so much! Really appreciate the enthusiasm :D
Quick bit of context for when you explore the product: we built OrcaSheets for anyone who works with data but doesn't want to write SQL or wait on engineering teams for answers. Just ask your data a question in plain English, get your answer instantly, and everything stays local on your machine. No uploads, no cloud dependencies.
Let us know how it goes. We're actively building based on user feedback, so your input genuinely shapes what comes next.
Looks powerful, congrats!
@robbins23 Thank you! Give it a try and let us know what you think.