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MRRdeals
Overlo

Overlo

USMRRdeals Score · 57/100
Health & Fitness·Founded Jun 2025·Revenue rank #947
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MRR
$1.1K/mo-43.3%
Asking
$20K
$MRRdeals score
57/100

AI Fitness App

What this SaaS is

AI-driven fitness app providing personalized workout plans.

Pricing unclearInvestors looking for early-stage health and fitness tech opportunities.
Key features
  • AI-generated workout plans
  • User progress tracking
  • Nutrition guidance
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
$1.1K/mo
Revenue 30d
$456
Cash actually collected
All-time
$18.1K
Active subscriptions
275
Total customers
0
All-time count
Growth 30d
-43.3%
Profit margin
100%
Multiple
3.7x
Asking / ARR
Payback
18.1 mo
At current margin
At a glance
Founded
1.1 yr ago
Listed
6mo ago
Payments
Revenuecat
Audience

Tech stack

frontend
nextjsswift

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability89/100

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

Growth4/100

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

Product60/100

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.

Risk61/100

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

Market69/100

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

Market read

  • TAM
    mid

    The health and fitness app market has a moderate user base and revenue potential.

  • Saturation
    early

    The market is still developing with few established players.

  • 3y trend
    growing

    Interest in AI-driven fitness solutions is increasing rapidly.

  • AI disruption
    vulnerable

    AI fitness apps can be replicated easily, posing a risk to unique offerings.

  • Hype cycle
    early

    AI fitness apps are just beginning to gain traction in the market.

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