Wearly Labs vs SubjectiveZero
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 SubjectiveZero
| Detail | 
Wearly Labs | 
SubjectiveZero |
|---|
| What it does | Know what suits you, and why
| Agentic node editor for live visual effects on macOS
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
|
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| Based in | CZ
| FR
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| Pricing model | Paid
| Open source
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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
| - Real-time code generation with Swift and Metal
- Editable source code for every node
- VJing and live audio visuals support
- Projection mapping with corner-pin and grid warp
- Hardware integration with cameras and MIDI
- Browser export as single HTML file
- Support for multiple AI models
- Deterministic agent workflows
- Video recording with sound
- Custom node controls and UI cards
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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
| - Agents build code as connected nodes you own and can edit
- Use your own existing AI subscription without reselling tokens
- Deterministic reproducible agent workflows
- No iteration friction from idea to working effect
- Work on commercial projects without additional licensing
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 5 ▲ +2 (up) since last check | 35 ● no change since last check |
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| Trust Flow (Majestic) | 10 | 5 |
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| Citation Flow (Majestic) | 18 | 28 |
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| Referring domains (Majestic) | 20 | 176 |
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5 details filled in for both companies.
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