
Houseware
AI-powered product analytics platform for data warehouses.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |
USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Dealroom estimates
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Houseware provides an AI-powered product and revenue analytics platform built to operate directly on top of cloud data warehouses like Snowflake, BigQuery, and Redshift. The company was founded in 2021 by Divyansh Saini and Shubhankar Srivastava and is headquartered in San Francisco. The name 'Houseware' was conceived as a literal flip of 'Warehouse,' symbolizing the founders' mission to reverse the traditional flow and unlock the value residing within a company's data warehouse. Before its acquisition, the company successfully raised $2.1 million in a seed funding round in March 2023, led by Tanglin Venture Partners with participation from GTMfund, Better Capital, and prominent angel investors from companies like Snowflake, Stripe, and Zendesk.
The platform targets SaaS businesses, enabling product, marketing, sales, and customer success teams to analyze customer behavior and optimize revenue without extensive coding. It connects to over 150 data sources and allows teams to create visualizations, build user segments, analyze user journeys, and set up actionable alerts based on real-time data. Houseware's no-code interface combines the power of a client's existing data stack with the usability of modern tools, empowering non-technical users to build complex data narratives and internal applications. Key features include detailed user path analysis, retention tracking, AI-powered insights, and the ability to combine event stream data with business-specific entities for a complete view of the customer journey. On February 13, 2025, Houseware was acquired by LaunchDarkly, marking a new chapter for the company.
Keywords: product analytics, revenue analytics, data warehouse native, product-led growth, PLG CRM, business intelligence, customer journey analysis, user segmentation, no-code analytics, data applications, Snowflake, BigQuery, RevOps, product management, user behavior analytics, customer success insights, feature adoption tracking, retention analysis, data visualization, warehouse-native