B

Middle East Exposure Check for My Funds & ETFs

2.95

Derivation Chain

Step 1 Iran airstrikes and Middle East war tensions
→
Step 2 50-something investors concerned about asset protection
→
Step 3 War risk → not knowing how much my funds/ETFs are exposed to the Middle East

Problem

After seeing news of Iran's airstrikes and the Israel war, a 50-something investor wants to check how much their funds and ETFs are exposed to the Middle East, but they have to manually review each holding. Especially global ETFs, oil-related funds, and emerging market funds have hidden Middle East exposure, making it impossible to get a comprehensive view of 'my portfolio's Middle East exposure.' Securities apps show individual fund holdings but don't calculate the total 'Middle East-related weight.'

Solution

Users enter their fund/ETF names on the web (or upload a screenshot of their securities holdings), and the system extracts Middle East-related allocation weights from each fund's prospectus to calculate the overall 'Middle East exposure' as a percentage. It also includes indirect exposure to oil-linked assets and companies with high Middle East revenue (construction, plant). If exposure is high, rebalancing scenarios are suggested.

Target: Self-directed investors in their 50s-60s who hold 3+ funds/ETFs, are globally diversified, and are sensitive to geopolitical risks.
Revenue Model: Free: basic exposure diagnosis (up to 3 funds). Full portfolio analysis + rebalancing scenario: 9,900 KRW (approx. $7.40). Monthly subscription (real-time geopolitical risk alerts): 4,900 KRW/month (approx. $3.70).
Ecosystem Role: Consumer
MVP Estimate: 3_months

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
2.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (48%)

Tech Complexity
17.0/40
Data Availability
22.5/25
MVP Timeline
8.0/20
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 (57/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
18.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
10.5/15
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 [medium] Backend [high]
Dashboard