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MRRdeals
AlgoFuse.ai

AlgoFuse.ai

USMRRdeals Score · 46/100
Artificial Intelligence·Founded Jan 2026·Revenue rank #997
Share on X
MRR
$1.3K/mo-28.1%
Asking
$47K
$MRRdeals score
46/100

AlgoFuse.ai is an AI-powered Amazon listing image generator. It analyzes top-performing competitors for your keywords, then automatically generates a full set of professional product images — main ima

What this SaaS is

Generates professional Amazon listing images using AI analysis of competitors.

Pricing unclearA B2B SaaS operator focused on e-commerce tools and AI solutions.
Key features
  • AI-powered image generation
  • Competitor analysis
  • B2B focus
Things to scrutinise
  • Founded <12mo agoLess than 12 months of operating history. Retention is unproven.
  • No active customersZero customers reported. Hard to model retention or growth.
  • Single acquisition channelAll customers come from one acquisition channel. Pull the plug and revenue dies.

Numbers that matter

MRR
$1.3K/mo
Revenue 30d
$5.9K
Cash actually collected
All-time
$15.9K
Active subscriptions
15
Total customers
0
All-time count
Growth 30d
-28.1%
Profit margin
74%
Multiple
0.7x
Asking / ARR
Payback
49.6 mo
At current margin
At a glance
Founded
6 mo ago
Listed
4mo ago
Payments
Stripe
Audience
B2B

Score breakdown

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

ProfitabilityGrowthProductMoatOperabilityRiskMarket
Profitability47/100

Payback period, asking price vs category median multiple, and 30-day profit margin.

Growth0/100

30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.

Product51/100

Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).

Moat37/100

AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.

Operability44/100

Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.

Risk55/100

Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.

Market65/100

Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.

Market read

  • TAM
    mid

    The target market of Amazon sellers is sizable but not enormous.

  • Saturation
    growing

    The market is expanding as more sellers seek optimization tools.

  • 3y trend
    growing

    Interest in AI tools for e-commerce has surged recently.

  • AI disruption
    vulnerable

    The product could be replicated by developers with access to similar data.

  • Hype cycle
    mainstream

    AI tools for e-commerce are gaining traction and becoming widely accepted.

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