Attractiveness AI
MRRdeals Score · 46/100AttractivenessAI.com is a fun, fast, and AI-powered platform that analyzes facial features from photos to get personalized insights. Using advanced computer vision and machine learning, it evaluates s
What this SaaS is
Analyzes facial features from photos to provide personalized insights.
- AI-powered facial analysis
- Personalized insights
- User-friendly interface
- Non-recurring revenue— No active subscriptions. The cash isn't contractually guaranteed to repeat.
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
- No active customers— Zero customers reported. Hard to model retention or growth.
Numbers that matter
Tech stack
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback period, asking price vs category median multiple, and 30-day profit margin.
30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.
Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).
AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.
Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.
Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The health and fitness niche has a moderate audience size, making it a mid TAM.
- Saturationgrowing
The market is seeing new entrants and innovations, indicating a growing saturation.
- 3y trendgrowing
Consumer interest in AI-driven personal insights has been increasing over the last three years.
- AI disruptionwrapper killable
The product's reliance on basic AI features makes it vulnerable to simpler alternatives.
- Hype cycleearly
AI applications in personal grooming are still emerging, placing this in the early stage.
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