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MRRdeals
PaperCode

PaperCode

INMRRdeals Score · 35/100
Artificial Intelligence·Founded Jan 2026·Revenue rank #3,244
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MRR
$64/mo-19.1%
Asking
$5K
$MRRdeals score
35/100

What this SaaS is

PaperCode turns machine-learning research papers into guided coding exercises with unit tests.

FreemiumFree · Plus $5/mo · Pro $15/moAn education or developer-tools operator who can grow learner acquisition and improve conversion to paid plans.
Key features
  • Guided paper implementations
  • Coding workspace
  • Unit-tested practice tasks
  • Machine-learning learning roadmaps
  • Job and internship feeds
Things to scrutinise
  • Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.

Numbers that matter

MRR
$64/mo
Revenue 30d
$151
Cash actually collected
All-time
$2.1K
Active subscriptions
11
Total customers
—
Not reported by TrustMRR
Growth 30d
-19.1%
Profit margin
100%
Multiple
2.8x
Asking / ARR
Payback
78.7 mo
At current margin
At a glance
Founded
10 mo ago
Listed
4d ago · fresh
Payments
Dodopayment
Audience
B2C

Tech stack

frontend
nextjstailwindcss
backend
fastapipython

Score breakdown

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

ValueGrowthTractionMoatOperabilityRiskMarket
Value25/100

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

Growth0/100

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.

Traction31/100

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

Moat44/100

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.

Risk65/100

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

Market61/100

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

Market read

  • TAM
    mid

    The audience spans ML learners and engineers, but guided paper implementations serve a focused slice of the broader education market.

  • Saturation
    mature

    Online ML courses, coding tutorials, and paper-reproduction resources already compete for the same learners.

  • 3y trend
    growing

    Growing AI adoption is increasing demand for practical machine-learning skills and hands-on learning.

  • AI disruption
    vulnerable

    General-purpose AI can explain papers and generate implementations, weakening value unless tasks and tests provide distinctive depth.

  • Hype cycle
    mainstream

    AI education is mainstream, with established courses and tools alongside continued interest in applied learning.

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