A

Jeonse Registry Risk Self-Check

4.05

Derivation Chain

Step 1 Self-checking risks in secondhand Real Estate and Jeonse contracts
→
Step 2 Automating property registry interpretation

Competitor references

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

Problem

Even after reviewing the property registry before signing a Jeonse (lease deposit) contract, tenants don't understand what '120% mortgage ratio' means, what the total senior lien amount is relative to the property value, or what additional checks are needed when the landlord is a corporation. Every year, people in their 50s lose their entire Jeonse deposit after trusting their real estate agent's reassurance that 'it's fine.' There is no self-service tool for interpreting property registries.

Solution

Upload a property registry PDF and the system automatically extracts key items from Section A (ownership) and Section B (mortgages, Jeonse rights). It calculates the senior lien total / estimated market value ratio (negative equity risk), identifies landlord type (individual/corporation), and flags provisional seizures or injunctions using a traffic light system (green/yellow/red). Each risk item includes an explanation of why it's dangerous and recommended next steps.

Target: Ages 40–60 preparing to sign a Jeonse contract, especially couples in their 50s relocating after children's independence, anxious about Jeonse fraud news but unfamiliar with registry interpretation
Revenue Model: 1 registry analysis free. 3+ analyses per month: $3.70/month (4,900 KRW/month). Affiliate commission for Jeonse deposit insurance enrollment guidance.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
5.0/5
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 (75%)

Tech Complexity
34.7/40
Data Availability
20.6/25
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 (62/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
18.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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

Frontend [low] Backend [medium] AI/ML [low]
Dashboard