B

My Financial Product Scam Detector

3.10

Derivation Chain

Step 1 Digital financial product comparison & scam filtering
→
Step 2 Investment fraud early detection

Problem

Adults aged 50+ have no tool to instantly assess whether investment solicitation messages received via KakaoTalk, YouTube, or text are fraudulent. The Financial Supervisory Service's fraud report lookup is only available after damage has already occurred, and there is no service that performs real-time matching against unregistered firms, unrealistic return claims, or typical scam patterns. Investment fraud losses among adults 50+ reach hundreds of millions of dollars annually, and over 60% of victims say they 'were initially suspicious but had no way to verify.'

Solution

On a web app: (1) paste a suspicious investment solicitation message (text/URL/image) to receive an instant fraud risk assessment in three levels (Safe/Caution/Danger), (2) view itemized assessment rationale (unregistered firm, unrealistic returns, typical scam phrase patterns), and (3) cross-reference in real-time against the Financial Supervisory Service's unregistered firm database and National Police Agency cyber fraud report keywords.

Target: Ages 50-65, active smartphone users, those who encounter investment information via KakaoTalk and YouTube, intermediate financial literacy
Revenue Model: Basic assessment free (10/month). Premium $3.70/month: unlimited assessments + family alerts (children notified when parents check risky messages) + weekly scam trend Report.
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
M Market
5.0/5
R Realizability
3.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (52/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
7.5/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Frontend [low] Backend [medium] Data Pipeline [medium]
Dashboard