Your data is always talking. Don't miss what it's saying.
Your data changes constantly. Anomalo Analyst tells you what matters before you know to ask. It proactively monitors your Snowflake, Databricks, or BigQuery data, surfaces important trends, anomalies, and shifts, and lets you investigate with follow-up questions in plain language. Every insight is verified against your data, with Anomalo helping distinguish real business changes from broken data.
Hey Product Hunt, I'm Elliot, co-founder and CEO of Anomalo.
I've spent years working with data — growth and product roles at @instacart and @LinkedIn, then building enterprise data quality tools at @Anomalo . I’ve seen that some of the biggest lessons often came from changes in the data. At Instacart, launching one new retailer surfaced an engagement spike that reshaped our growth strategy for years. At LinkedIn, small experiments in network-building tools moved user behavior enough to reset our roadmap.
But spotting those data changes is hard. You need dashboards for everything that matters and someone watching obsessively. Even with teams of analysts, we missed a lot.
That's why we built Analyst. Using technology Anomalo pioneered for data quality monitoring, it learns what's normal for your data, then uses AI to spot and explain meaningful changes — creating an automatic news feed of what moved and why.
Most data tools only answer the questions you thought to ask. The valuable data changes are often the ones nobody asked about: a paid social campaign that spiked purchases but only for certain SKUs, a supplier whose delivery times crept up 52% over a quarter, a metric that degraded only because of a mix shift. Anomalo Analyst spots these changes for you.
Just connect @DataBricks , BigQuery, or @Snowflake , read-only, and tell Analyst what matters in each table so the insights are tailored. You’ll start seeing Analyst insights in the first few days. Each insight includes a business summary, a technical summary, and the underlying logic and investigative steps.
Free to start. Give it a try and then tell us what it found.
About Anomalo on Product Hunt
“Your data is always talking. Don't miss what it's saying.”
Anomalo launched on Product Hunt on September 22nd, 2026 and earned 257 upvotes and 21 comments, earning #2 Product of the Day. Your data changes constantly. Anomalo Analyst tells you what matters before you know to ask. It proactively monitors your Snowflake, Databricks, or BigQuery data, surfaces important trends, anomalies, and shifts, and lets you investigate with follow-up questions in plain language. Every insight is verified against your data, with Anomalo helping distinguish real business changes from broken data.
On the analytics side, Anomalo competes within Artificial Intelligence, Data & Analytics and Business Intelligence — topics that collectively have 488.9k followers on Product Hunt. The dashboard above tracks how Anomalo performed against the three products that launched closest to it on the same day.
Who hunted Anomalo?
Anomalo was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Anomalo including community comment highlights and product details, visit the product overview.
Ben Lang
Hey Product Hunt, I'm Elliot, co-founder and CEO of Anomalo.
I've spent years working with data — growth and product roles at @instacart and @LinkedIn, then building enterprise data quality tools at @Anomalo . I’ve seen that some of the biggest lessons often came from changes in the data. At Instacart, launching one new retailer surfaced an engagement spike that reshaped our growth strategy for years. At LinkedIn, small experiments in network-building tools moved user behavior enough to reset our roadmap.
But spotting those data changes is hard. You need dashboards for everything that matters and someone watching obsessively. Even with teams of analysts, we missed a lot.
That's why we built Analyst. Using technology Anomalo pioneered for data quality monitoring, it learns what's normal for your data, then uses AI to spot and explain meaningful changes — creating an automatic news feed of what moved and why.
Most data tools only answer the questions you thought to ask. The valuable data changes are often the ones nobody asked about: a paid social campaign that spiked purchases but only for certain SKUs, a supplier whose delivery times crept up 52% over a quarter, a metric that degraded only because of a mix shift. Anomalo Analyst spots these changes for you.
Just connect @DataBricks , BigQuery, or @Snowflake , read-only, and tell Analyst what matters in each table so the insights are tailored. You’ll start seeing Analyst insights in the first few days. Each insight includes a business summary, a technical summary, and the underlying logic and investigative steps.
Free to start. Give it a try and then tell us what it found.