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MRRdeals
SkinPal AI

SkinPal AI

MRRdeals Score · 52/100
Artificial Intelligence·Founded Sep 2025·Revenue rank #1,714
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MRR
$1.9K/mo
Asking
$110K
$MRRdeals score
52/100

With SkinPal AI, you can track, analyze, and improve your skin like never before using advanced AI technology trained on millions of images to provide instant insights.

What this SaaS is

Tracks and analyzes skin health using AI technology.

SubscriptionA B2C company focused on health and wellness technology.
Key features
  • AI skin analysis
  • Real-time insights
  • User-friendly interface
Things to scrutinise
  • No active customersZero customers reported. Hard to model retention or growth.
  • Founded <12mo agoLess than 12 months of operating history. Retention is unproven.
  • Stale / unmaintained siteFooter copyright is years old or blog hasn't been touched. Maintenance level is low.

Numbers that matter

MRR
$1.9K/mo
Revenue 30d
$2.4K
Cash actually collected
All-time
$2.4K
Active subscriptions
264
Total customers
0
All-time count
Growth 30d
Profit margin
90%
Multiple
3.8x
Asking / ARR
Payback
63.1 mo
At current margin
At a glance
Founded
9 mo ago
Listed
1d ago · fresh
Payments
Revenuecat
Audience
B2C

Tech stack

frontend
reactnative
backend
fastapisupabase

Marketing channels

organic
app store optimizationblogcontent marketingseo
social
reddittiktok

Score breakdown

How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability20/100

Payback period, asking price vs category median multiple, and 30-day profit margin.

Growth35/100

30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.

Product58/100

Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).

Moat51/100

AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.

Operability56/100

Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.

Risk77/100

Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.

Market65/100

Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.

Market read

  • TAM
    mid

    The market for skincare apps is substantial but not overwhelmingly large, fitting a mid TAM classification.

  • Saturation
    growing

    The skincare app market is growing with increasing consumer interest in personalized solutions, indicating a growing saturation.

  • 3y trend
    growing

    Consumer demand for AI-driven skincare solutions has been increasing, showing a growing trend over the last three years.

  • AI disruption
    resilient

    The use of advanced AI for personalized skincare insights makes this product resilient to simple disruption.

  • Hype cycle
    mainstream

    AI-driven skincare solutions are becoming more accepted and utilized, placing them in the mainstream phase of the hype cycle.

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