
OpenMark.ai
Test AI Models
Open, community-run benchmark of how AI models and harnesses build single-file frontend interfaces, with sandboxed live previews and accessibility scoring.

Listen to your favourite mixes from YouTube etc in one place

Website, pricing, platforms and company facts side by side.
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| Website | openvibeeval.com | mixqueue.com |
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| Company | Startup from Tunisia · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.


OpenVibeEval is an independent, community-driven evaluation suite built to benchmark how AI models and agent harnesses generate real-world frontend web interfaces. Unlike traditional coding benchmarks that focus on terminal algorithms or synthetic riddles, OpenVibeEval tests production-grade UI...
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What each product offers, as listed by its team.


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An editorial look at what each product does well and who it suits.


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As answered by people managing OpenVibeEval and MixQueue.
OpenVibeEval's answer
OpenVibeEval's answer
Frontend developers, full-stack engineers, AI agent builders, design system engineers, and engineering leads looking to identify the best AI models and coding harnesses for generating accessible, high-performance web applications.
OpenVibeEval's answer
Unlike traditional benchmarks that only test terminal code or math puzzles, OpenVibeEval is built specifically for real-world Frontend UI generation. It evaluates how AI models and agent harnesses build production-grade single-file HTML/CSS web interfaces, combining automated W3C accessibility audits (axe-core) with live sandboxed previews and a model-blind community voting Arena.
OpenVibeEval's answer
Most benchmarks hide the agent wrapper the model runs inside. OpenVibeEval explicitly tests the 'Harness Impact', allowing developers to hold the model and prompt constant and see exactly how tools like Cline, OpenCode, or GitHub Copilot alter output quality. Every run includes a live interactive sandbox, accessibility report, and versioned date-stamped results with zero sponsored rankings.
OpenVibeEval's answer
OpenVibeEval was created to solve a disconnect in AI coding benchmarks: models that scored high on synthetic coding tests often generated broken CSS, missing ARIA landmarks, or unrenderable layouts when asked to build real web UIs. We built OpenVibeEval as a living, community-driven benchmark to test real UI tasks (dashboards, crypto terminals, canvas games, and web audio synths) under zero-shot, single-file constraints.
OpenVibeEval's answer
Astro, TypeScript, Cloudflare Pages
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