During market surges like KOSPI breaking 6300 or Samsung Electronics/SK Hynix jumping 7%, retail investors (especially salaried workers aged 30-50) experience FOMO-driven buying at peaks, resulting in average losses of 15-25%. Swept up by 'buy now or miss out' sentiment on Naver stock forums and KakaoTalk investment groups, they buy without analysis. Impulse buying rates on surge days are 3x or more above normal.
Solution
A dashboard that aggregates a real-time FOMO Index (search volume spike rate, community sentiment overheating, RSI and volume anomalies) to visually warn that 'this stock is in a FOMO overheating zone.' It features a 72-hour cooling timer alongside historical pattern analysis showing return distributions after similar peak-buying episodes. The key differentiator is a contrarian approach: instead of encouraging purchases, it shows data on 'what happens if you wait.'
Target: Retail investors aged 30-50, salaried workers with investment capital of 10M-100M won (~$7,500-$75,000), active traders checking stock apps 3+ times per week
Revenue Model: Premium SaaS Monthly Subscription at 49,000 won (~$37)/account, Free Plan (limited to 3 stocks/day), 25% discount for annual billing. Target Premium conversion rate: 8%
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks
NUMR-V Scores
N Novelty
3.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
4.0/5
V Validation
5.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (63%)
Tech Complexity
24.0/40
Data Availability
18.8/25
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 (70/100)
Competition
10.0/20
Market Demand
20.0/20
Timing
16.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
7.5/15
Solo Buildability
8.0/10
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.