FabriScan
MRRdeals Score · 56/100 · Top 40%What this SaaS is
Identifies fabric from images using an iOS app.
- Fabric identification from images
- iOS app
- Organic App Store search acquisition
Numbers that matter
Mobile app
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
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback at the stated margin, asking multiple vs the category median, and profit margin. The heaviest axis: what you pay for what it earns.
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.
Paying customers, revenue scale and traffic (log scales), plus live-site health (reachable pricing page, core pages, maintained site).
AI-disruption risk, organic search presence, recurring B2B revenue; penalties for thin AI wrappers and no-code lock-in.
How turnkey the takeover is: diversity of marketing channels, Merchant-of-Record status, team.
Higher = safer. Business age, breadth of the customer base (concentration risk), recurring vs one-off revenue, known payment provider.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMsmall
The app targets a niche market with limited user base, indicating a small TAM.
- Saturationmature
The market for fabric identification apps is established with several competitors, suggesting mature saturation.
- 3y trendgrowing
User interest and downloads have increased, indicating a growing trend over the past three years.
- AI disruptionwrapper killable
The app's functionality can be replicated easily by solo developers, making it wrapper-killable.
- Hype cyclemainstream
The app has reached a stable user base and recognition, placing it in the mainstream phase.
Run the numbers
Before you make an offer
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