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MRRdeals
Snap Tree

Snap Tree

MRRdeals Score · 48/100
Artificial Intelligence·Revenue rank #2,789
Share on X
MRR
$100/mo+77.5%
Asking
$4K
$MRRdeals score
48/100

SnapLeaf is an app that uses AI to identify plants and trees from photos.

What this SaaS is

AI app that identifies plants and trees from photos.

Lifetime dealA buyer interested in AI-driven mobile applications for consumer use.
Key features
  • AI plant identification
  • User-friendly interface
  • Photo recognition technology
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
$100/mo
Revenue 30d
$185
Cash actually collected
All-time
$741
Active subscriptions
0
Not a subscription business
Total customers
0
All-time count
Growth 30d
+77.5%
Profit margin
85%
Multiple
1.8x
Asking / ARR
Payback
47.1 mo
At current margin
At a glance
Founded
Listed
6mo ago
Payments
Revenuecat
Audience
B2C

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability47/100

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

Growth68/100

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

Product37/100

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.

Risk48/100

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 market for plant identification apps is moderately sized with a growing user base.

  • Saturation
    growing

    Competition is increasing but the market is not yet fully saturated.

  • 3y trend
    growing

    Interest in AI applications for consumer use has been rising significantly.

  • AI disruption
    vulnerable

    The technology can be replicated easily by other developers, posing a risk.

  • Hype cycle
    early

    The concept is still emerging and not widely adopted yet.

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