$
MRRdeals
Swoony Matchmaking

Swoony Matchmaking

MRRdeals Score · 41/100
Mobile Apps·Founded Apr 2023·Revenue rank #1,366
Share on X
MRR
$1.5K/mo-44.4%
Asking
$80K
$MRRdeals score
41/100

Swoony is a AI based matchmaking service that provides personalized match suggestions, focusing on quality over quantity. We have over 5600+ registered users with dataset of 50+ questions answered pe

What this SaaS is

AI-based matchmaking service providing personalized match suggestions.

SubscriptionA mobile app developer looking to enter the dating services market.
Key features
  • AI matchmaking
  • Personalized suggestions
  • User-friendly interface
Things to scrutinise
  • Founded <12mo agoLess than 12 months of operating history. Retention is unproven.
  • No active customersZero customers reported. Hard to model retention or growth.
  • Single acquisition channelAll customers come from one acquisition channel. Pull the plug and revenue dies.

Numbers that matter

MRR
$1.5K/mo
Revenue 30d
$1.5K
Cash actually collected
All-time
$6.7K
Active subscriptions
51
Total customers
0
All-time count
Growth 30d
-44.4%
Profit margin
8%
Multiple
4.3x
Asking / ARR
Payback
662.9 mo
At current margin
At a glance
Founded
3.3 yr ago
Listed
2mo ago
Payments
Revenuecat
Audience
B2C
8.2K visitors / month·$18.00 per visitor

Tech stack

frontend
exponextjsreactnative
backend
supabaserevenuecat

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability5/100

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.

Product70/100

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.

Risk69/100

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

Market61/100

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

Market read

  • TAM
    mid

    The matchmaking app market has a moderate user base but is not expansive enough to be considered large.

  • Saturation
    mature

    The market is filled with numerous dating apps, indicating a mature saturation level.

  • 3y trend
    growing

    Interest in AI-driven matchmaking has increased, suggesting a growing trend in the last three years.

  • AI disruption
    vulnerable

    The reliance on AI for matchmaking is vulnerable to competition and could be replicated easily.

  • Hype cycle
    mainstream

    AI matchmaking is widely accepted, placing it in the mainstream phase of the hype cycle.

Similar SaaS for sale

Same category, comparable revenue and asking range, ranked by MRRdeals Score.