B

Peer Fact-Check Board

2.85

Derivation Chain

Step 1 Middle-aged community-based information verification
→
Step 2 Health and investment misinformation detection

Problem

When people aged 50-60 receive claims in KakaoTalk group chats like 'this health supplement cures diabetes' or 'this stock will triple,' verifying these claims requires separately searching the Ministry of Food and Drug Safety site, the Financial Supervisory Service site, and Naver Academic Search. They have the search skills but lack knowledge of where to look and which keywords to use — a 'verification pathway gap.' This leads to frequent losses of $75-225/month on ineffective health products or thousands of dollars on fraudulent investments.

Solution

Users paste text or URLs received from KakaoTalk into a web interface, which then (1) auto-extracts the core claims, (2) automatically searches credible sources (Ministry of Food and Drug Safety, Financial Supervisory Service, academic databases) for evidence, and (3) provides a 3-tier verdict — 'Confirmed / Unverified / Likely False' — with links to supporting sources. Verdict criteria are transparently disclosed so users can judge for themselves.

Target: Ages 50-65, active in 5+ KakaoTalk group chats, digitally engaged users with strong interest in health and investment information
Revenue Model: Free (3 lookups/day). Unlimited lookups + search history management at $3/month. Separate Enterprise/community group Subscription available.
Ecosystem Role: Consumer
MVP Estimate: 1_month

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
2.0/5
V Validation
2.0/5
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 (58%)

Tech Complexity
24.7/40
Data Availability
20.8/25
MVP Timeline
12.0/20
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 (50/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
7.5/15
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 [high] Data Pipeline [medium]
Dashboard