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

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

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