Season Palette
MRRdeals Score · 46/100Viral AI Color Analysis app, AI Clothes Try-On
What this SaaS is
Analyzes user color preferences and allows virtual clothing try-ons using AI.
- AI color analysis
- Virtual clothing try-on
- User-friendly interface
- No active customers— Zero customers reported. Hard to model retention or growth.
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
- Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.
Numbers that matter
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback period, asking price vs category median multiple, and 30-day profit margin.
30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.
Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).
AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.
Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.
Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The app targets a broad consumer base interested in fashion and personal styling.
- Saturationgrowing
The market for AI styling apps is expanding but still has room for innovation.
- 3y trendhot
Interest in AI-driven fashion solutions has surged recently, indicating a hot trend.
- AI disruptionwrapper killable
The concept is simple enough that it could be replicated quickly by solo developers.
- Hype cyclemainstream
AI styling apps are becoming widely accepted and utilized in the fashion industry.
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