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MRRdeals
Mad Dog Alpha AI

Mad Dog Alpha AI

USMRRdeals Score · 48/100
Fintech·Founded May 2025·Revenue rank #1,374
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MRR
$1.1K/mo-20.6%
Asking
$100K
$MRRdeals score
48/100

We provide a cloud-based AI analytics SaaS that helps users process, visualize, and research complex data streams automatically.

What this SaaS is

Cloud-based AI analytics SaaS for processing and visualizing complex data streams.

Pricing unclearInvestors or firms looking to enhance data analytics capabilities in fintech.
Key features
  • AI-driven analytics
  • Data visualization tools
  • Cloud-based platform
Things to scrutinise
  • No active customersZero customers reported. Hard to model retention or growth.
  • 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.

Numbers that matter

MRR
$1.1K/mo
Revenue 30d
$1.6K
Cash actually collected
All-time
$7.1K
Active subscriptions
34
Total customers
0
All-time count
Growth 30d
-20.6%
Profit margin
70%
Multiple
5.2x
Asking / ARR
Payback
134.6 mo
At current margin
At a glance
Founded
1.1 yr ago
Listed
3mo ago
Payments
Stripe
Audience
B2C
3K visitors / month·$56.00 per visitor

Tech stack

frontend
reactjavascripttypescript
backend
pythonanthropiccloudflaredockerfastapifirebasegithub actionsgcp

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability30/100

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.

Product72/100

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.

Risk65/100

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

Market63/100

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

Market read

  • TAM
    mid

    The fintech sector has a significant user base but is not overly expansive for B2C analytics.

  • Saturation
    mature

    Many players exist in AI analytics, indicating a mature market with established competitors.

  • 3y trend
    growing

    Increased interest in AI-driven solutions suggests a growing trend in the last three years.

  • AI disruption
    vulnerable

    The product's reliance on common analytics features makes it vulnerable to disruption by simpler solutions.

  • Hype cycle
    mainstream

    AI analytics is widely adopted, placing it in the mainstream phase of the hype cycle.

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