Houseware Raises $2.1 Million in Seed Round  

by Kay Aloha Villamor in March 9th, 2023

Houseware, a San Francisco, CA-based startup revenue analytics workbench that enables anyone to build internal data apps on the Snowflake Data Cloud, launched out of stealth with $2.1 million in seed funding to help accelerate sales of its data and insight platform.

The round was led by Tanglin Venture Partners, with participation from GTMfund and Better Capital, as well as angel investors from among some of the most iconic, scaled-up SaaS companies around, including execs from Snowflake, Superhuman, Stripe, Zendesk, and others. 

This funding will be used to grow its customer base, expand its team, and double down on alliances with partners such as Snowflake.

“Many SaaS businesses are reaching maturity but they lack the cross-functional data they need to make rapid progress,” says Divyansh Saini, the CEO of Houseware, who co-founded the business with colleague Shubhankar Srivastava. “We want to empower them to do that.”

It offers a simple, no-code interface for operations and revenue teams. Houseware is targeting the popular software-as-a-service (SaaS) sector, where businesses worldwide are racing to achieve sustainable growth and overcome macroeconomic uncertainty and volatility. 

Company: CMD CTR, Inc.

Raised: $2.1M

Round: Seed Round

Funding Month: March 2023

Lead Investors: Tanglin Venture Partners

Additional Investors: GTMfund and Better Capital

Company Website:

Software Category: B2B SaaS Revenue Engine

About the Company: Founded in 2021 by Shubhankar Srivastava and Divyansh Saini, Houseware is a warehouse-native revenue experience data workspace - for revenue functions across marketing, product analytics, sales, customer success, and finance, all in one place. Houseware powers the revenue experience for leading SaaS businesses by providing an easy-to-use canvas on top of cloud data platforms like Snowflake and BigQuery. It connects to more than 150 data sources, and abstracts schemas, columns, and rows into higher-level metrics, empowering the creation of visualizations, rules-based actionable signals, and much more without coding. 


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