A modern dev workflow for your most important data products
Data teams already treat queries, models, and transformations as code. Yet embedded analytics is often built in drag-and-drop BI tools, without version control or reliable deployment workflows. That’s a poor fit for one of your most critical, customer-visible data products. Embedded analytics in Evidence introduces a code-first way to build customer reporting that fits seamlessly in your app - and can be owned entirely by the data team.
Hey Product Hunt,
Sean here, co-founder of Evidence 👋
Today we’re launching Embedded Analytics as Code in Evidence Studio.
Embedded analytics is often a company’s most important (and most scrutinized) data product, but it’s still commonly built with drag-and-drop tools, edited outside version control, and deployed without real review or rollback. That approach can work for internal dashboards, but it tends to break down quickly once analytics becomes customer-facing.
We built Embedded Analytics as Code to bring real software workflows to embedded reporting.
With Evidence, embedded reports are defined in SQL + markdown, live in Git, and move through the same review and deployment process as the rest of your app. We also handle the hard production pieces out of the box: row-level security, short-lived embed sessions, custom theming, and performance tuned for customer traffic.
Teams are already using this to deliver analytics to thousands of end users, including professional sports teams and Fortune 500 companies, without turning analytics into a parallel engineering platform they have to maintain themselves.
If you’re embedding analytics today - or thinking about it - we’d love to hear what you’re building. Book a time to chat with us here: https://calendly.com/evidence-st...
Thanks for checking out our launch and for all your support - let us know what you think in the comments!
Sean
About Evidence Embedded Analytics on Product Hunt
“A modern dev workflow for your most important data products”
Evidence Embedded Analytics launched on Product Hunt on December 19th, 2025 and earned 124 upvotes and 19 comments, placing #6 on the daily leaderboard. Data teams already treat queries, models, and transformations as code. Yet embedded analytics is often built in drag-and-drop BI tools, without version control or reliable deployment workflows. That’s a poor fit for one of your most critical, customer-visible data products. Embedded analytics in Evidence introduces a code-first way to build customer reporting that fits seamlessly in your app - and can be owned entirely by the data team.
On the analytics side, Evidence Embedded Analytics competes within Analytics, Data & Analytics and Data Visualization — topics that collectively have 180.5k followers on Product Hunt. The dashboard above tracks how Evidence Embedded Analytics performed against the three products that launched closest to it on the same day.
Who hunted Evidence Embedded Analytics?
Evidence Embedded Analytics was hunted by Sean Hughes. 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.
Reviews
Evidence Embedded Analytics has received 3 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Evidence Embedded Analytics including community comment highlights and product details, visit the product overview.
Sean Hughes