Mad Dog Alpha AI

Name: Mad Dog Alpha AI
Brand: Mad Dog Alpha AI
Price: 100000.00 USD
Availability: InStock

MRRdeals Score · 39/100

Fintech·Founded May 2025·Revenue rank #1,762

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MRR

$1.1K/mo+0.9%

Asking

$100K

$MRRdeals score

39/100

What this SaaS is

Provides AI-powered equity research and analytics for processing, visualizing, and researching financial data.

SubscriptionA fintech operator with experience in equity research products who can validate customer demand and build reliable acquisition channels.

Key features

AI-powered equity research
Automated data processing
Data visualization
Financial data research

Things to scrutinise

Regulatory risk niche— Trading / gambling / crypto / medical. One letter from a regulator can shut it down.

Numbers that matter

MRR

$1.1K/mo

Revenue 30d

$1.4K

Cash actually collected

All-time

$11.5K

Active subscriptions

Total customers

—

Not reported by TrustMRR

Growth 30d

+0.9%

Profit margin

70%

Multiple

5.8x

Asking / ARR

Payback

130.3 mo

At current margin

At a glance

Founded

1.5 yr ago

Listed

7mo ago · stale

Payments

Stripe

Audience

B2C

1.4K visitors / month·$100.00 per visitor

Websiteapp.mdalpha.ai

Founders

@valkla1234

@valkla1234· 70 followers

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.

Value15/100

Payback at the stated margin, asking multiple vs the category median, and profit margin. The heaviest axis: what you pay for what it earns.

Growth36/100

Revenue trend over the last ~90 days from our daily snapshots (30-day figure when history is short), capped so one spike can't dominate, minus a penalty for erratic revenue.

Traction52/100

Paying customers, revenue scale and traffic (log scales), plus live-site health (reachable pricing page, core pages, maintained site).

Moat44/100

AI-disruption risk, organic search presence, recurring B2B revenue; penalties for thin AI wrappers and no-code lock-in.

Operability44/100

How turnkey the takeover is: diversity of marketing channels, Merchant-of-Record status, team.

Risk71/100

Higher = safer. Business age, breadth of the customer base (concentration risk), recurring vs one-off revenue, known payment provider.

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.