Snowpilot is a spreadsheet-like UI with the full power of a data warehouse. Powered by cutting-edge database tech, Snowpilot lets non-technical users join datasets and query live across billions of rows, with data automatically pulled in from tools like Salesforce, Zendesk, Gong, and Posthog.

Ben and Dom met at a Sequoia & a16z-backed data startup, Census. Together, we built the first real-time, warehouse-native customer data platform. Prior to that, Dom led 20+ ML engineers at Adobe to build their internal ad optimization platform, which allocates $1B in annual spend. Ben built the microservices stack powering the new Microsoft Edge, scaling from 0 to hundreds of millions of DAUs.

We started coding Snowpilot two weeks ago (mid-August '24), and we already have a live demo app that can run sub-second queries on millions of rows, entirely in the user's browser.

The data warehouse market is $10B/yr, growing 23% YOY. We will disrupt incumbents and significantly expand this market by enabling non-engineers to use the data warehouse on a daily basis.
The data warehouse that's as simple as a spreadsheet
Title: Snowpilot: The data warehouse that's as simple as a spreadsheet | Y Combinator

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### The data warehouse that's as simple as a spreadsheet

Snowpilot is a spreadsheet-like UI with the full power of a data warehouse. Powered by cutting-edge database tech, Snowpilot lets non-technical users join datasets and query live across billions of rows, with data automatically pulled in from tools like Salesforce, Zendesk, Gong, and Posthog. Ben and Dom met at a Sequoia & a16z-backed data startup, Census. Together, we built the first real-time, warehouse-native customer data platform. Prior to that, Dom led 20+ ML engineers at Adobe to build their internal ad optimization platform, which allocates $1B in annual spend. Ben built the microservices stack powering the new Microsoft Edge, scaling from 0 to hundreds of millions of DAUs. We started coding Snowpilot two weeks ago (mid-August '24), and we already have a live demo app that can run sub-second queries on millions of rows, entirely in the user's browser. The data warehouse market is $10B/yr, growing 23% YOY. We will disrupt incumbents and significantly expand this market by enabling non-engineers to use the data warehouse on a daily basis.



Snowpilot

Founded:2024

Team Size:2

Location:San Francisco

### Active Founders

### Dom Crosby, Co-founder & CEO

Dom Crosby is co-founder & CEO of Snowpilot, the Data Warehouse that's as simple as a spreadsheet. Starting his career as an analyst for the UK Ministry of Defence, he has since worked in Big Data and ML for the last decade leading product for high profile ML and data solutions at Adobe & Census (Sequoia & a16z backed.)



### Ben Warren, Co-founder & CTO

Co-founder & CTO of Snowpilot, the data warehouse that's as simple as a spreadsheet. Started as a software engineer at Microsoft, scaling the new Edge browser. After that, built next-gen data tooling at Census (backed by a16z & Sequoia).



### Company Launches

[### Snowpilot: The data warehouse that’s as simple as a spreadsheet](

**TL;DR:** We’ve built a spreadsheet-like UI with the full power of a data warehouse. Powered by cutting-edge database technology, [Snowpilot]( lets non-technical users join datasets and query across billions of rows, with live data pulled in from tools like Salesforce, Zendesk, Gong, and Posthog.



Hey everyone, we’re [Ben]( and [Dom]( We met at a Sequoia & a16z-backed data startup, Census. Together, we built the first real-time, warehouse-native customer data platform. Prior to that, Dom led 20+ ML engineers at Adobe to build their internal ad optimization platform, which allocates $1B in annual spend. Ben built the microservices stack powering the new Microsoft Edge, scaling from 0 to hundreds of millions of DAUs.

Locked up data = blocked deals 🤬
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At every company we worked at, deals and features went awry because non-engineers were blocked on basic questions across customers, products, and deals. In theory, all of the data was in Snowflake, but in practice…

*   Sales couldn’t find the status of their deals’ feature requests
*   PMs weren’t able to estimate the value of a feature
*   Support couldn’t triage issues based on account size



We accepted that queries had to go through some “data guy”. This meant that most questions were never answered, deals were lost, and the wrong features were built.

We simplify data access, 10x’ing business velocity ✅
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With Snowpilot, we’ve taken the much-loved spreadsheet interface and given it the full power of the data warehouse. Snowpilot feels like using Excel or Notion databases, but without the limitations:

*   Connected to live data from sources like Salesforce, Zendesk, and Gong
*   Simple interface that abstracts away complex operations, such multi-table joins, grouping, pivots, and deduplication
*   Scales to infinity





Demo
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Solving data engineering, once and for all
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For decades, business users have been bottlenecked on the data guy. That era is coming to a close.

The UX landscape has been opened up by a few key tech advancements:

*   Fast, in-memory columnar query engines (DuckDB, DataFusion)
*   Standardized data formats (Apache Arrow, Parquet, Iceberg)
*   LLM-automated grunt work (picking join keys, data cleaning, field mapping)

Snowpilot is solving data engineering, forever. And we couldn’t be more pumped to make it happen.

Try the Snowpilot demo today
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To get a taste, check out our live demo: [
