Houseware is an AI-powered product analytics platform that helps teams analyze user behavior and product performance through warehouse-native analytics, offering seamless integration with popular data warehouses like Snowflake, BigQuery, and Redshift.
Data & Analyticshouseware.ioTracked since 2026-08-211 discovery source
1.9KBacklinks
229Referring domains
25Domain authority
-8.8%Referring domains · 90 days
Authority & distribution
How strong is Houseware’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
1.9KCurrent snapshot
Referring domains
229Current snapshot
Authority
25Domain authority · category median 22
90-day move
-8.8%Referring domains, last 90 days
At 25, Houseware sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Houseware”
Houseware is an AI-powered product analytics platform that helps teams analyze user behavior and product performance through warehouse-native analytics, offering seamless integration with popular data warehouses like Snowflake, BigQuery, and Redshift.
Data & AnalyticsSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.houseware.io
Observed across 1 discovery source.
Research questions
What the evidence answers about Houseware.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Houseware do, and what problem does it solve?
Houseware is an AI-powered product analytics platform that helps teams analyze user behavior and product performance. It solves the problem of analyzing product data by offering warehouse-native analytics with seamless integration with popular data warehouses. This is stated in the product's homepage main text.
Who is the target audience for Houseware?
Houseware is designed for teams that need to analyze product data. The platform is categorized under Business Intelligence and SaaS analytics, indicating it is for product managers, analysts, or developers working in data-driven environments. This is derived from the product's tags and taxonomy.
What features or integrations does Houseware offer?
Houseware offers AI-powered analytics, warehouse-native integration, and seamless connections with popular data warehouses like Snowflake, BigQuery, and Redshift. The product's description lists these as its key technical offerings.
What is Houseware used for, and in what situations would a team use it?
Houseware is used for analyzing user behavior and product performance through warehouse-native analytics. A team would use it when they need to integrate with data warehouses like Snowflake, BigQuery, or Redshift to gain product insights. The product's description specifies its core use case.
What is Houseware?
Houseware is an AI-powered product analytics platform. It helps teams analyze user behavior and product performance through warehouse-native analytics, offering integration with data warehouses like Snowflake, BigQuery, and Redshift.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Houseware intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured