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MRRdeals
SEDUCT

SEDUCT

FRMRRdeals Score · 53/100
Mobile Apps·Founded Apr 2026·Revenue rank #3,287
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MRR
$125/mo
Asking
$1.5K
$MRRdeals score
53/100

Seduct generates personalized opening messages for dating apps (Tinder, Hinge, Bumble) using AI. Upload your match's photos; the AI crafts messages that get replies. Growing organically via TikTok/Ins

What this SaaS is

Generates personalized opening messages for dating apps using AI.

SubscriptionA mobile app developer focused on dating solutions and AI technology.
Key features
  • AI-generated messages
  • Personalized for dating apps
  • Photo upload feature
Things to scrutinise
  • Non-recurring revenueNo active subscriptions. The cash isn't contractually guaranteed to repeat.
  • No active customersZero customers reported. Hard to model retention or growth.
  • Founded <12mo agoLess than 12 months of operating history. Retention is unproven.

Numbers that matter

MRR
$125/mo
Revenue 30d
$143
Cash actually collected
All-time
$341
Active subscriptions
9
Total customers
0
All-time count
Growth 30d
Profit margin
85%
Multiple
0.9x
Asking / ARR
Payback
14.1 mo
At current margin
At a glance
Founded
3 mo ago
Listed
1mo ago
Payments
Revenuecat
Audience
B2C

Tech stack

frontend
reactnativeexpotypescript
backend
nodejsexpresssqliterevenuecatrailway

Marketing channels

social
tiktokinstagram

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability93/100

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

Growth35/100

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.

Operability50/100

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.

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 market for dating apps is sizable but not huge, as it primarily serves a niche audience.

  • Saturation
    growing

    The dating app market is growing with new entrants, but established players dominate.

  • 3y trend
    growing

    Interest in personalized dating experiences has increased, indicating a growing trend.

  • AI disruption
    wrapper killable

    The product is a wrapper around existing dating app functionalities, making it easily replicable.

  • Hype cycle
    early

    The concept of AI-generated messages is still emerging and not yet mainstream.

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