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MRRdeals
Restore Photos App

Restore Photos App

MRRdeals Score · 56/100 · Top 41%
SaaS·Founded Jan 2026·Revenue rank #3,352
Share on X
Revenue 30dOne-shot
$601-5.6%
Asking
$8K
$MRRdeals score
56/100Top 41%

What this SaaS is

Uses Gemini AI to restore old photos.

Pricing unclearAn operator with experience monetizing consumer photo tools through subscriptions or paid restoration credits.
Key features
  • AI photo restoration
  • Free trial without credit card
  • Organic search traffic
Things to scrutinise
  • Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
  • Non-recurring revenue— No active subscriptions. The cash isn't contractually guaranteed to repeat.

Numbers that matter

MRR
$0/mo
No recurring subs
Revenue 30d
$601
Cash actually collected
All-time
$1.8K
Active subscriptions
0
Not a subscription business
Total customers
—
Not reported by TrustMRR
Growth 30d
-5.6%
Profit margin
90%
Multiple
1.1x
Asking / ARR
Payback
22.2 mo
At current margin
At a glance
Founded
10 mo ago
Listed
8mo ago · stale
Payments
Polar
Audience
B2C
1.8K visitors / month·$34.00 per visitor

Tech stack

frontend
nextjs

Score breakdown

How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.

ValueGrowthTractionMoatOperabilityRiskMarket
Value85/100

Payback at the stated margin, asking multiple vs the category median, and profit margin. The heaviest axis: what you pay for what it earns.

Growth15/100

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.

Traction38/100

Paying customers, revenue scale and traffic (log scales), plus live-site health (reachable pricing page, core pages, maintained site).

Moat23/100

AI-disruption risk, organic search presence, recurring B2B revenue; penalties for thin AI wrappers and no-code lock-in.

Operability44/100

How turnkey the takeover is: diversity of marketing channels, Merchant-of-Record status, team.

Risk49/100

Higher = safer. Business age, breadth of the customer base (concentration risk), recurring vs one-off revenue, known payment provider.

Market73/100

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 broad consumer base but is limited to photo restoration.

  • Saturation
    early

    The market for photo restoration is still emerging with few established players.

  • 3y trend
    growing

    Consumer interest in AI-driven photo enhancement is increasing rapidly.

  • AI disruption
    wrapper killable

    The core functionality can be easily replicated by solo developers.

  • Hype cycle
    early

    AI photo restoration is in the early stages of adoption and awareness.

Before you make an offer

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