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MRRdeals
AI Girlfriend

AI Girlfriend

MRRdeals Score · 33/100
Artificial Intelligence·Revenue rank #2,969
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MRR
$155/mo-20.3%
Asking
$9K
$MRRdeals score
33/100

Fully automated app. Very low server costs and AI. High margins. Rarely needed to update the app, it runs automatically. Marketing is 100% App Store, no external marketing. Big potential, 1,847 new cu

What this SaaS is

Automated app providing AI-driven companionship for users.

SubscriptionInvestors looking for scalable B2C AI applications with low operational costs.
Key features
  • Automated companionship
  • Low server costs
  • High profit margins
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
$155/mo
Revenue 30d
$137
Cash actually collected
All-time
$2.2K
Active subscriptions
9
Total customers
0
All-time count
Growth 30d
-20.3%
Profit margin
90%
Multiple
5.5x
Asking / ARR
Payback
64.7 mo
At current margin
At a glance
Founded
—
Listed
4mo ago
Payments
Revenuecat
Audience
B2C

Tech stack

frontend
reactnative
backend
python

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
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.

Product43/100

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.

Risk51/100

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 target audience is broad, but the niche is specific to AI companionship.

  • Saturation
    growing

    The market for AI companions is expanding, but competition is increasing.

  • 3y trend
    growing

    Interest in AI-driven personal assistants has surged recently, indicating growth.

  • AI disruption
    wrapper killable

    The concept can be easily replicated by solo developers, posing a risk.

  • Hype cycle
    mainstream

    AI companionship apps are becoming widely accepted, indicating mainstream adoption.

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