Show HN: Website Scorer for AI Design Patterns
This is a Show HN post sharing an open-source tool that scores websites against AI design patterns. It presents a completed project rather than describing a problem. No user pain point is the primary subject.
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Similar Problems
surfaced semanticallyMost SaaS websites score poorly for AI agent usability
The average AI agent usability score across 23 well-known SaaS sites is 35.7/100, meaning most websites cannot be reliably navigated or used by AI agents. As autonomous agents increasingly interact with web services on behalf of users, this compatibility gap causes failures in automated workflows. No standard tooling exists to diagnose or improve agent-accessibility of existing sites.
Extracting design system DNA from existing websites is manual
Developers and designers rebuilding or referencing existing site aesthetics must manually inspect colors, typography, and spacing. No automated tool reliably extracts a complete design language from a live URL. This slows design iteration and brand alignment.
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Should code repositories separate AI-generated from human-written content
Discussion about whether code repositories should distinguish AI-generated content. Emerging concern about code provenance.
AI Coding Agents Can't Recreate Website Designs From Screenshots
AI coding agents are capable at writing code but struggle to accurately recreate a website's visual design when given only a screenshot, since they lack structured access to the underlying design tokens and system. Developers need design references translated into a machine-readable format AI tools can actually use.
Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.