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MRRdeals
KidMeal AI

KidMeal AI

TRMRRdeals Score · 48/100
Artificial Intelligence·Revenue rank #3,633
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MRR
$42/mo
Asking
$20K
$MRRdeals score
48/100

AI-powered nutrition scanner and meal analysis app built for parents to provide personalized insights for children's meals.

What this SaaS is

AI app that analyzes children's meals and provides nutrition insights for parents.

Subscription$5.20/mo per userInvestors or operators in the health and wellness app space targeting parents.
Key features
  • AI meal analysis
  • Personalized nutrition insights
  • User-friendly interface
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
$42/mo
Revenue 30d
$120
Cash actually collected
All-time
$120
Active subscriptions
9
Total customers
0
All-time count
Growth 30d
Profit margin
75%
Multiple
13.9x
Asking / ARR
Payback
636.0 mo
At current margin
At a glance
Founded
Listed
6d ago · fresh
Payments
Revenuecat
Audience
B2C

Tech stack

frontend
swiftui

Marketing channels

organic
app store optimizationseo

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability20/100

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).

Moat51/100

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.

Risk67/100

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 app targets a specific niche of parents, indicating a mid-sized market.

  • Saturation
    growing

    The market for children's nutrition apps is growing but not yet saturated.

  • 3y trend
    growing

    Interest in AI-driven health solutions has increased, suggesting a growing trend.

  • AI disruption
    resilient

    The app's unique AI capabilities make it less vulnerable to simple replication.

  • Hype cycle
    early

    As a novel application of AI in nutrition, it is still in the early stages of adoption.

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