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MRRdeals
Jarvis bet

Jarvis bet

FR⭐MRRdeals Score · 58/100
Artificial Intelligence·Founded Oct 2026·Revenue rank #1,723
🆕 New listing
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MRR
$2.3K/mo+7.8%
Asking
$50K
$MRRdeals score
58/100

Jarvis Bet is your AI sports betting analyst, providing daily sports betting tips and personalized AI coaching.

What this SaaS is

Provides AI-generated sports betting tips and personalized coaching through a mobile app.

SubscriptionA sports betting app operator with expertise in responsible gambling, mobile subscriptions, and customer acquisition beyond Instagram.
Key features
  • Daily sports betting tips
  • Personalized AI coaching
  • Free trial
Things to scrutinise
  • Regulatory risk niche— Trading / gambling / crypto / medical. One letter from a regulator can shut it down.
  • Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.

Numbers that matter

MRR
$2.3K/mo
Revenue 30d
$2.4K
Cash actually collected
All-time
$11K
Active subscriptions
127
Total customers
0
All-time count
Growth 30d
+7.8%
Profit margin
80%
Multiple
1.8x
Asking / ARR
Payback
27.7 mo
At current margin
At a glance
Founded
0 mo ago
Listed
1d ago · fresh
Payments
Revenuecat
Audience
B2C

Tech stack

frontend
exporeactnative

Marketing channels

social
instagram

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability78/100

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

Growth59/100

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

Product44/100

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

Moat41/100

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.

Risk67/100

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

Market50/100

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

Market read

  • TAM
    large

    Sports betting attracts a large consumer audience, though paid demand for standalone betting advice is narrower.

  • Saturation
    saturated

    Tipster apps, betting communities, and AI prediction tools compete heavily for bettors.

  • 3y trend
    growing

    Legalized online betting and consumer interest in AI tools support continued category growth.

  • AI disruption
    wrapper killable

    Generic AI can reproduce tips and coaching without proprietary data, proven models, or exclusive distribution.

  • Hype cycle
    late

    AI betting advice is a late-stage application of mainstream generative AI rather than a new category.

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