Wearly Labs vs PaletteGet
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Wearly Labs compared with PaletteGet
| Detail | 
Wearly Labs | P
PaletteGet |
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| What it does | Know what suits you, and why
| Ready-to-use color palettes for apps, websites and mini apps, verified for accessibility
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | CZ
| Not given
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| Pricing model | Paid
| Free
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| Pricing | $29 once, no subscription
| Not given
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| Key features | - Color season analysis with 50-color palette
- Body shape and line recommendations with 125+ cuts
- Six ready-made outfits for different situations
- AI profile exportable to ChatGPT, Claude or Gemini
- Photo analysis with five images required
- Questionnaire-based personalization
- Reasoning provided for every verdict
- Photos deleted within 24 hours
- Fixed scoring rules ensure consistent results
| - MCP server integration for AI coding tools
- WCAG AA contrast verification for all palettes
- Multiple export formats: CSS, SCSS, Tailwind, JSON
- Semantic color roles and human-written pairing advice
- Three-platform preview rendering in app, web and mini app screens
- No sign-up, no API key, no rate limits
- Static site with no ads on machine-readable endpoints
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| What makes it different | - Every verdict includes the reason why a color or cut suits you
- Fixed rule-based scoring ensures the same inputs produce the same result
- One-time payment with no subscription or hidden costs
- Results available on personal page within 10 minutes
- Answers weighted more heavily than photos in analysis
| - Every palette verified for WCAG AA accessibility before entry
- Built-in MCP server for direct AI agent integration
- Multi-format export ready to paste into projects
- Real interface previews across app, web and mini app platforms
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 5 ▲ +2 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 10 | 6 |
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| Citation Flow (Majestic) | 18 | 20 |
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| Referring domains (Majestic) | 20 | 5 |
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4 details filled in for both companies.
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