A

Game Stock Shareholder Return Monitor

3.70

Derivation Chain

Step 1 Changes in game stock shareholder return policies
→
Step 2 Monitoring of game company shareholder return disclosures
→
Step 3 Shareholder return execution rate tracking dashboard for individual investors

Problem

Individual investors in game stocks such as Webzen, Krafton, and Netmarble (estimated at about 500,000) need to manually check disclosures, IR materials, and news daily to track in real time whether shareholder return commitments (dividends, share buybacks) are being fulfilled, spending an average of 2-3 hours per week. When disclosures are missed, they often miss selling opportunities and incur losses of 10-20%.

Solution

Using the DART disclosure API and crawling game company IR pages, it automatically calculates the execution rate against shareholder return commitments and sends immediate alerts on changes in fulfillment rates or new disclosures. It provides a timeline of shareholder return implementation by stock and peer comparison charts to aid trading decisions.

Target: Individual investors in game and entertainment stocks, aged 30-50, with investments ranging from 10 million to 100 million KRW (approx. $7,500 to $75,000).
Revenue Model: Premium subscription: 29,000 KRW per month per account (approx. $21.75), free tier (track 3 stocks), 20% discount for annual payment.
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (66%)

Tech Complexity
29.3/40
Data Availability
17.1/25
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 (66/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
7.0/10
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

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