B

Inheritance Asset Inventory Builder

3.05

Derivation Chain

Step 1 Asset organization and inheritance digital blind spots
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Step 2 Tracking assets scattered across institutions
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Step 3 Inheritance and gift tax simulation per asset type
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Step 4 Tax savings comparison by gifting timing and method

Competitor references

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

Problem

People aged 55–65 have assets scattered across multiple institutions—real estate (2–3 properties), insurance (3–5 policies), pensions (national + retirement + private), and financial assets (deposits, stocks, funds). To determine total asset value and estimated inheritance tax, they must log into each institution's app individually and manually enter balances into a spreadsheet. This process takes half a day, and calculating inheritance tax is impossible without a tax accountant consultation (~$225–375 / 30–50만 원).

Solution

Enter current values into asset-type forms (real estate, insurance, pensions, financial assets) to visualize the total asset picture on a dashboard. Input the number and relationship of heirs (spouse, children) to auto-calculate estimated inheritance tax and applicable deductions. Compare gift vs. inheritance scenarios with concrete numbers showing '10-year phased gifting saves X in taxes.'

Target: Ages 55–65, owning 1+ real estate properties, with spouse and 2–3 adult children, in the inheritance and gifting planning stage
Revenue Model: Asset inventory + basic inheritance tax estimate free. Gift vs. inheritance scenario comparison report PDF at ~$7.50 (9,900 KRW). Tax accountant consultation referral commission.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

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

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
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.

Market Validation (57/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
6.0/10
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.

Technical Requirements

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