Accessible React components and Next.js dashboards
Free tree testing tool for testing information architecture
Stage
Not given
Established
Founded
Not given
2021
Based in
ID
Not given
Pricing model
Freemium
Free
Pricing
Free: MIT open source with 104 components, 34 blocks and starter dashboard. Personal Pro: $99 once for one developer with all-access to Pro dashboards, apps and blocks. Team Pro: $249 once for up to 5 developers. Extended Pro: $499 once for unlimited developers with SaaS product rights.
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
104 accessible components
shadcn CLI integration
Built-in authentication with email, GitHub and Google
Database with Drizzle ORM and Postgres or PGlite
File uploads to local or S3 storage
Multi-language support: English, Bahasa Indonesia, Arabic
Live demo dashboards for Analytics, E-commerce, CRM and Services
Apps: Kanban board, Calendar, and Chat
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
One-time payment with lifetime updates, no subscription
All components copied into your project, no package dependency
Full refund within 14 days, no questions asked
Complete dashboard starter templates with backend included
MIT licensed open source core with no account required
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