Mirage — Detect Image Editing
MRRdeals Score · 45/100Mirage is an app that uses machine learning to detect and undo image editing.
What this SaaS is
Mirage detects and undoes image editing using machine learning technology.
- Image editing detection
- Undo image modifications
- Machine learning technology
- 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, indicating a mid-sized market.
- Saturationgrowing
The market for image editing detection is growing as awareness of deepfakes increases.
- 3y trendgrowing
Consumer interest in authenticity and image verification has been rising.
- AI disruptionresilient
The technology is complex and not easily replicable by solo developers.
- Hype cycleearly
The concept is still emerging and not widely adopted yet.
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