This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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UI-Atlas
Map desktop interfaces for computer-use agents
UI-Atlas is an open-source, offline-first toolkit for building evidence-backed maps of desktop interfaces. It captures surfaces, controls, states, actions, transitions, and lineage to observed evidence. The maps can support agents, testing, accessibility, automation, and security or governance systems that need to understand what is being acted on. UI-Atlas maps the interface; it does not enforce policy or execute workflows.
Computer-use systems can see an interface, but seeing it is not the same as understanding the application behind it.
UI-Atlas is our open-source experiment in building that missing representation layer: evidence-backed maps of surfaces, controls, states, actions, transitions, and their relationships.
The maps can support agent systems, testing, automation, accessibility, and security or governance layers that need to understand what is being acted on.
UI-Atlas itself does not decide what should be allowed or blocked. It maps the interface and preserves the evidence behind that map.
We’re open-sourcing it to see where this representation works, where it becomes incomplete, and where it breaks.
About UI-Atlas on Product Hunt
“Map desktop interfaces for computer-use agents”
UI-Atlas was submitted on Product Hunt and earned 14 upvotes and 5 comments, placing #23 on the daily leaderboard. UI-Atlas is an open-source, offline-first toolkit for building evidence-backed maps of desktop interfaces. It captures surfaces, controls, states, actions, transitions, and lineage to observed evidence. The maps can support agents, testing, accessibility, automation, and security or governance systems that need to understand what is being acted on. UI-Atlas maps the interface; it does not enforce policy or execute workflows.
On the analytics side, UI-Atlas competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how UI-Atlas performed against the three products that launched closest to it on the same day.
Who hunted UI-Atlas?
UI-Atlas was hunted by Irina Nikitenko. 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 UI-Atlas including community comment highlights and product details, visit the product overview.
Irina Nikitenko