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MRRdeals
FaceKit

FaceKit

MRRdeals Score · 45/100
Mobile Apps·Founded Dec 2025·Revenue rank #292
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MRR
$16K/mo-15.3%
Asking
$1M
$MRRdeals score
45/100

Highly profitable & scalable consumer app in the looksmaxxing / face analysis niche. Most unique and accurate app in this space. Includes very valuable data in the backend - to be elaborated on.

What this SaaS is

FaceKit analyzes facial features to help users enhance their appearance.

Subscription$13.8k MRR · 3027 active subscriptionsA mobile app investor looking to capitalize on consumer beauty trends.
Key features
  • Facial analysis technology
  • User-friendly interface
  • Scalable subscription model
Things to scrutinise
  • 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.
  • Live site unreachableLive site returns errors. The asset may already be dead.

Numbers that matter

MRR
$16K/mo
Revenue 30d
$20.6K
Cash actually collected
All-time
$181.6K
Active subscriptions
3.8K
Total customers
3.8K
All-time count
Growth 30d
-15.3%
Profit margin
90%
Multiple
4.0x
Asking / ARR
Payback
69.3 mo
At current margin
At a glance
Founded
7 mo ago
Listed
2mo ago
Payments
Superwall
Audience
B2C

Tech stack

frontend
swiftui
backend
supabase

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.

Growth0/100

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

Product65/100

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

Moat37/100

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

Operability44/100

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

Risk73/100

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

Market67/100

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

Market read

  • TAM
    mid

    The looksmaxxing niche has a moderate user base, indicating a mid-sized total addressable market.

  • Saturation
    growing

    The market is still developing with few strong competitors, suggesting a growing saturation level.

  • 3y trend
    growing

    Consumer interest in personal appearance apps has increased, indicating a growing trend over the past three years.

  • AI disruption
    vulnerable

    The app's reliance on unique data makes it somewhat vulnerable to competitors who could replicate features easily.

  • Hype cycle
    early

    The concept is still emerging, placing it in the early stage of the hype cycle.

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