Launch: Chaser, a macOS Utility That Captures UI Context Beyond Screenshots for AI Agents
A Show HN post launches Chaser, a local macOS utility using accessibility APIs to capture layout, button states, and object mappings beyond a plain screenshot, intended for giving AI coding agents richer context. This is a promotional launch rather than a first-person complaint.
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Similar Problems
surfaced semanticallyClunky Screenshot Annotation in AI Agent Workflows
Developers who share screenshots with AI agents find built-in macOS annotation tools clunky, and alternatives feature-bloated. The commenter says they built a free tool for it.
Users accumulate thousands of screenshots with no way to search or find them later
Power users accumulate thousands of screenshots on macOS and mobile with no native or third-party tool to search them by content, making screenshots functionally unsearchable and wasted
Windows Lacks a Polished All-in-One Screen Recording and Editing Tool
Content creators on Windows must combine three to four separate tools to achieve what macOS users get natively from Screen Studio — smooth recording, zoom effects, cursor tracking, webcam overlay, and editing in one place. The gap is well-understood but existing Windows tools remain fragmented and less polished.
Mac Screenshots Pile Up Faster Than Built-In Tools Can Organize Them
Mac users who accumulate large numbers of screenshots struggle to later find a specific one, relying on memory of vague visual or contextual clues rather than structured search or organization. Existing Finder-based storage does not support searching screenshots by remembered content.
AI coding agents require verbose text to identify UI elements from screenshots
Developers using AI coding assistants must write lengthy descriptions to reference specific UI elements in screenshots, since agents lack spatial annotation tooling. Clipboard context is often lost in chat interfaces. A point-and-annotate layer over screenshots would let developers pin precisely what they mean, dramatically reducing prompt friction.
Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.