$
MRRdeals
Wood Ai

Wood Ai

MRRdeals Score · 62/100
Mobile Apps·Founded Dec 2025·Revenue rank #2,394
Share on X
MRR
$316/mo-3.4%
Asking
$2K
$MRRdeals score
62/100

A polished, ready-to-monetize iOS app that uses AI-powered image recognition to instantly identify wood types and plants from a single photo. Perfect for woodworkers, hobbyists, botanists, and DIY ent

What this SaaS is

Identifies wood types and plants using AI-powered image recognition from photos.

SubscriptionA mobile app developer looking to expand into AI-driven consumer applications.
Key features
  • AI image recognition
  • Identifies wood types
  • User-friendly interface
  • Targeted at hobbyists
  • B2C focus
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
$316/mo
Revenue 30d
$336
Cash actually collected
All-time
$1.3K
Active subscriptions
32
Total customers
0
All-time count
Growth 30d
-3.4%
Profit margin
99%
Multiple
0.5x
Asking / ARR
Payback
6.4 mo
At current margin
At a glance
Founded
7 mo ago
Listed
5mo ago
Payments
Revenuecat
Audience
B2C
4.1K visitors / month·$8.00 per visitor

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.

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability100/100

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

Growth30/100

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

Product70/100

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.

Operability44/100

Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.

Risk57/100

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

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.

Similar SaaS for sale

Same category, comparable revenue and asking range, ranked by MRRdeals Score.