AI Personal Color Analysis Report
AI-powered personal color analysis service. Customers upload photos and receive a personalized color season report (PDF) with clothing and styling rec…
In plain English
This Polish website gives people a personal color analysis from their photos. Customers upload pictures and get a report saying which colors suit their skin, hair and eyes, with clothing tips. They pay once per report. TrustMRR shows about $51 in verified revenue over the last 30 days. The AI writes the report, while the owner runs the site and handles customers.
$51 verified revenue last 30 days, mostly non-recurring (TrustMRR/Stripe, Oct 29, 2026)
Operator: Marcin Krzemiński
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
fal.ai ↗Image/video model inference
Next.js ↗Web app framework
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Wrap image models in a simple web app.
- Sell credits or coins before generation.
- Moderate prompts and outputs.
- SEO pages per style or use case.
What's automated vs. the human 10%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
AI-powered personal color analysis service. Customers upload photos and receive a personalized color season report (PDF) with clothing and styling recommendations based on their skin tone, hair, and eye color.
Operator: Marcin Krzemiński. Category on TrustMRR: Artificial Intelligence. Founded: 2026-03-10. Website: https://analizakolorystyczna.online/
Estimated split: about 90% of the work automated, 10% human.
Realistic income
TrustMRR (checked Oct 29, 2026) shows $51 in Stripe-verified revenue over the last 30 days, $4,721 verified over its tracked history. Most of this revenue is one-time, not recurring. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live listing — numbers change.
Risks
- Commodity category; margins depend on model costs.
- Needs strict content moderation.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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