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MRRdeals
HairLab

HairLab

MRRdeals Score · 57/100
Mobile Apps·Founded Jul 2025·Revenue rank #1,984
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MRR
$1.7K/mo
Asking
$32.5K
$MRRdeals score
57/100

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 customersZero customers reported. Hard to model retention or growth.
  • Founded <12mo agoLess than 12 months of operating history. Retention is unproven.
  • Single acquisition channelAll customers come from one acquisition channel. Pull the plug and revenue dies.

Numbers that matter

MRR
$1.7K/mo
Revenue 30d
$1.4K
Cash actually collected
All-time
$2.4K
Active subscriptions
161
Total customers
0
All-time count
Growth 30d
Profit margin
95%
Multiple
2.0x
Asking / ARR
Payback
20.0 mo
At current margin
At a glance
Founded
12 mo ago
Listed
26d 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
Profitability82/100

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

Growth39/100

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.

Risk77/100

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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