Launching today
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.
Hey Product Hunt! 👋
I'm Mayur, co-founder of OrcaSheets – a local-first analytics tool that lets you query any dataset in plain English. No SQL, no cloud uploads, no waiting on anyone. Just ask your data a question and get the answer instantly.
The backstory
I've been in tech long enough to watch everything become fast. Web pages, video calls, deployments, money transfers – all instant now. But when I moved into data analytics and engineering, I noticed something weird. Analytics was still slow, and nobody seemed to mind? Dashboards take weeks to build, questions go into a queue, answers come back stale, and decisions get made on gut feel because the data just wasn't ready in time.
Somewhere along the way, we all just...normalised waiting. And that started bothering me, like...A LOT!
The person expected to take risks and move fast is the same person forced to wait the longest for answers. The moment someone in a meeting says, "let's check and get back," momentum dies, curiosity dies, and the decision gets made without data anyway.
My co-founders and I built @OrcaSheets to fix that.
Here's what makes it different:
⚡ Instant answers in plain English: Ask "what were our top 10 products by revenue last quarter?" and get the answer in seconds. And no, I'm not talking about a chart you have to interpret. An actual answer.
🔒 Your data never leaves your machine: OrcaSheets is local-first. Everything runs on your hardware. No cloud uploads, no third-party servers touching your files. If you're in finance, healthcare or anywhere data sensitivity matters, this was built for you.
📊 Handles massive datasets: We're not talking about toy spreadsheets. OrcaSheets processes billions of rows without slowing down. Most AI tools choke or silently sample your data. We don't.
🧠 Context-aware intelligence: It understands your column names, data types and relationships between your tables. No hallucinated numbers or false confidence.
💸 No per-seat pricing, no cloud compute bills: You already own a powerful machine. Why are you still paying per user, per query, per month for analytics that loads slowly anyway? OrcaSheets runs locally. Pay once, ask as many questions as you want.
Who it's for:
🏭 Ops managers who need production metrics without filing an IT ticket
💰 Finance teams running last-minute analysis before a board meeting
🛒 Retail analysts digging through thousands of SKUs for patterns
📈 Startup founders who need answers but can't afford a data team yet
🧑💻 Anyone who's ever said "can someone pull this data for me?" and waited days
Where we're taking this
We believe speed changes behavior. When analytics becomes instant, people experiment, explore, stop waiting for permission to be curious. We're not just building a faster tool. We're changing the tempo of decision-making.
We're a team of three co-founders – @yash_gandhi3,@navdeep_agarwal and me – and we believe analytics shouldn't feel like filing a support ticket. If insight takes days, instinct wins. We built @OrcaSheets so data wins instead. Take that, "let's check and get back!"
I'll be right here in the comments all day. Tell me your worst analytics horror story, ask me anything about OrcaSheets, or just say hi. Let's talk. 🙌
Chatscout by Zevi
Curious how this handles larger datasets locally. What kind of performance can someone expect when working with millions of rows on a standard work laptop?
@hiya_chaplot1 Great question! Short answer: it handles billions of rows surprisingly well on standard hardware - we're saying within seconds.
Since everything processes locally, there's no network latency eating into your query time. On a typical work laptop (8GB RAM, i5-ish), you'll get near-instant results in seconds on most queries across million-row datasets. We've built the engine to stay efficient even on modest machines.
Want to throw a specific dataset at it? We'd love to hear how it performs for your use case!
In the meantime, here's a visual proof: Billion Rows Challenge
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.
I’m a software engineer but not a data engineer — and analytics workflows have always felt intimidating. Love the direction of making data interaction this simple.
@shalaka_patil That means a lot, honestly. We built OrcaSheets exactly for individuals like you. You shouldn't need to learn SQL or set up a whole data pipeline just to get answers from your own data.
If you ever give it a spin, we'd love to hear how it feels from a software engineer's perspective. Your feedback would be super valuable. Thanks, Shalaka.
Cloudthread
Looks powerful - congrats! What data sources can you use? Do you have link to integration docs?
@daniele_packard Thank you, Daniele! We connect to all major databases, CSVs, TSVs, Excel files, and APIs. So pretty much wherever your data lives, you can plug it in and start querying in plain English.
We don't have standalone integration docs just yet, but you can get all the info at orcasheets.io. Let's connect and we'll get you onboarded! :)
On-machine analytics without cloud dependency does sound really interesting. Would love to understand some of the experiences around the decisions in choice of tech stack.
And all the best!
@nachiketk Thanks, Nachiket. Really appreciate the kind words! The local-first approach was a deliberate call from day one. We wanted users to have full control over their data without worrying about it leaving their machine.
Would love to get into the tech stack details with you. Let's connect and we can walk you through the decisions behind the architecture.
How does OrcaSheets handle real-time data updates or integrations with common tools like Excel, Google Sheets, or databases?
@abhijeet_jadhav5 Great question. We connect directly with Excel, Google Sheets, CSVs, TSVs, and all major databases. You can connect your data source and start querying in plain English right away.
For real-time updates, your queries always run against the latest version of your connected data. And since everything processes locally on your machine, it's fast and your data stays private.
Head to orcasheets.io to see it in action :)