beeuty
MRRdeals Score · 40/100AI Skin Scanner and Beauty Analyzer
What this SaaS is
AI-powered skin analysis and beauty recommendations for consumers.
- AI skin analysis
- Beauty recommendations
- Mobile app interface
- Non-recurring revenue— No active subscriptions. The cash isn't contractually guaranteed to repeat.
- No active customers— Zero customers reported. Hard to model retention or growth.
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
Numbers that matter
Tech stack
Marketing channels
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 app market is sizable but not enormous, targeting a specific niche.
- Saturationgrowing
The market is growing with increasing interest in personalized beauty solutions, but competition is emerging.
- 3y trendgrowing
Consumer interest in AI-driven beauty solutions is on the rise, indicating a positive trend.
- AI disruptionvulnerable
The technology could be replicated by solo developers, making it vulnerable to disruption.
- Hype cycleearly
AI beauty applications are still in the early stages of adoption and awareness.
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