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Vyblor vs UXbeam

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Vyblor compared with UXbeam
DetailVyblor logo Vyblor UXbeam
What it doesBeautiful design library for components, animations and full pages with AI coding integration Free tree testing tool for testing information architecture
StageNot given Established
FoundedNot given 2021
Based inKR Not given
Pricing modelFree Free
PricingNot given Free for unlimited tree testing and card sorting studies, unlimited participants and responses, and full analysis. Participant recruitment through UXbeam's panel starts at $1 per participant-minute.
Key features
  • Components, animations and full page templates in multiple formats
  • Korean text typing motion with proper character composition
  • Prefix-based Korean search
  • Coupon and points payment interface
  • MCP server integration
  • AI agent integration for custom component generation
  • Save and organize items in collection
  • WebGL-based interactive elements
  • Theme customization and copying
  • Unlimited tree-testing studies and participants
  • Leading-task detection to catch biased wording
  • Path replay visualization of participant navigation
  • Task outcome breakdown into direct, indirect, and elsewhere
  • Full-scenario completion tracking across multiple tasks
  • Mobile-compatible participant experience
  • Integrated card sorting with tree testing workflow
  • Multiple valid destinations per task
  • Iterative testing with versioned results
  • Complete CSV export of participant-level results
What makes it different
  • Free library with no signup required to browse
  • Works with multiple frameworks and AI coding assistants
  • Specialized components for Korean language UI
  • Integration with Claude Code and Codex AI agents
  • Components work without external libraries in WebGL
  • No credit card required and truly unlimited at no cost
  • Built-in methodological safeguards prevent common research mistakes
  • One-screen setup lets researchers create tests in minutes
  • Mental Model Detection identifies competing ways different user groups organize content
  • AI-assisted participant recruitment with audience targeting
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check35 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)016
Referring domains (Majestic)02

4 details filled in for both companies.

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