vtry AI
MRRdeals Score · 40/100What this SaaS is
Generates AI fashion images and virtual try-on photos from garment and person uploads.
- AI virtual try-on
- Garment import from URLs
- Multi-garment outfit generation
- Prompt-based image editing
- Shared team workspace and library
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
Numbers that matter
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
- TAMmid
The market for AI in fashion is expanding but not yet huge.
- Saturationgrowing
Competition is increasing, but there is still room for innovation.
- 3y trendgrowing
Interest in AI applications for fashion has surged recently.
- AI disruptionresilient
The technology is complex and not easily replicable by solo developers.
- Hype cyclemainstream
AI fashion solutions are becoming widely accepted and utilized.
Run the numbers
Before you make an offer
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