ScamSim: Auto-Generated Fraud Awareness Training

3.00

Derivation Chain

Step 1 Recurring scam patterns targeting tech workers

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Step 2 Phishing/fraud awareness training

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Step 3 Auto-generated customized internal security training content based on fraud patterns

Problem

When IT security managers prepare quarterly internal phishing training, creating training materials that reflect the latest fraud techniques (deepfake video calls, AI voice impersonation, fake SaaS invoices, etc.) takes 40-80 hours per session. External security training vendors charge $7,500-$22,500/year, which is excessive for companies with fewer than 50 employees.

Solution

Based on a database of real fraud and phishing cases from the past 3 months, the service: (1) auto-generates scenario-based quizzes tailored to the company's industry and size, (2) provides simulated phishing test templates across email, messenger, and voice channels, and (3) automatically produces employee response analysis Reports.

Target: Security managers or founders at IT companies/Startups with 10-100 employees, Freelancer security consultants

Revenue Model: SaaS Monthly Subscription: $44/month (up to 50 employees, 1 training set per quarter) / $97/month (up to 100 employees, monthly training + simulated phishing tests)

Ecosystem Role: Education

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

3.0/5

V Validation

3.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (67%)

Tech Complexity

24.0/40

Data Availability

23.1/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (52/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

9.0/15

Pick-Axe Fit

7.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Backend [medium] Frontend [medium] AI/ML [medium]

Dashboard