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MRRdeals
Wood Ai

Wood Ai

⭐MRRdeals Score · 62/100 · Top 24%
Mobile Apps·Founded Dec 2025·Revenue rank #2,929
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MRR
$305/mo-11.2%
Asking
$2K
$MRRdeals score
62/100Top 24%

What this SaaS is

Identifies wood types and plants from photos using image recognition.

SubscriptionAn iOS app operator who can improve acquisition and retain subscribers among woodworking, gardening, and plant-identification audiences.
Key features
  • Photo-based wood identification
  • Photo-based plant identification
  • non-recurring
Things to scrutinise
  • Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.

Numbers that matter

MRR
$305/mo
Revenue 30d
$308
Cash actually collected
All-time
$2.8K
Active subscriptions
34
Total customers
—
Not reported by TrustMRR
Growth 30d
-11.2%
Profit margin
99%
Multiple
0.5x
Asking / ARR
Payback
6.6 mo
At current margin
At a glance
Founded
11 mo ago
Listed
9mo ago · stale
Payments
Revenuecat
Audience
B2C
2.6K visitors / month·$12.00 per visitor

Mobile app

App StoreVersion 1.20260408.245

Apple and Google keep 15–30% of subscriptions: check whether the revenue and margin above are before or after the store commission, and plan the transfer of the app and its subscriptions through App Store Connect or Google Play.

Tech stack

frontend
flutterswiftkotlin

Score breakdown

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

ValueGrowthTractionMoatOperabilityRiskMarket
Value100/100

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

Growth0/100

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.

Traction48/100

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

Moat56/100

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.

Risk65/100

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

Market65/100

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 niche audience of woodworkers and botanists, indicating a mid-sized market.

  • Saturation
    growing

    The market for plant identification apps is growing, with increasing interest in DIY and woodworking.

  • 3y trend
    growing

    The trend for AI-powered identification tools has been growing as more consumers adopt mobile technology.

  • AI disruption
    resilient

    The app's unique AI functionality makes it less vulnerable to simple replication by solo developers.

  • Hype cycle
    mainstream

    AI-powered mobile apps are now mainstream as consumers seek innovative solutions for everyday problems.

Before you make an offer

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