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MRRdeals
HairLab

HairLab

MRRdeals Score · 49/100
Mobile Apps·Founded Jul 2025·Revenue rank #1,433
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MRR
$1.4K/mo-30.0%
Asking
$32.5K
$MRRdeals score
49/100

AI-powered mobile app that lets you apply your desired hair color and hairstyle within seconds.

What this SaaS is

AI-powered app for trying out hair colors and styles instantly.

SubscriptionInvestors looking for AI-driven consumer apps with subscription revenue.
Key features
  • AI hair color simulation
  • Instant hairstyle application
  • Mobile app interface
Things to scrutinise
  • 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.
  • Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.

Numbers that matter

MRR
$1.4K/mo
Revenue 30d
$1.2K
Cash actually collected
All-time
$16.7K
Active subscriptions
110
Total customers
0
All-time count
Growth 30d
-30.0%
Profit margin
95%
Multiple
2.3x
Asking / ARR
Payback
25.0 mo
At current margin
At a glance
Founded
1.2 yr ago
Listed
4mo ago
Payments
Revenuecat
Audience
—

Tech stack

frontend
flutter

Marketing channels

organic
app store optimization

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability74/100

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

Growth0/100

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

Product56/100

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

Moat26/100

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

Operability40/100

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

Risk61/100

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

Market56/100

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

Market read

  • TAM
    small

    The target audience is likely niche, limiting the total addressable market.

  • Saturation
    mature

    The market for beauty apps is mature with many established players.

  • 3y trend
    growing

    Interest in AI applications in beauty has been growing steadily.

  • AI disruption
    wrapper killable

    The app's functionality can be easily replicated by solo developers.

  • Hype cycle
    mainstream

    AI beauty apps are now widely recognized and used.

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