B

Chinese EV Recall & Defect Monitor

3.30

Derivation Chain

Step 1 BYD/Chinese EV sudden braking issues
→
Step 2 Chinese EV brand safety issue tracking service

Problem

Korean consumers who own or are considering purchasing Chinese-made EVs (BYD, NIO, XPeng, etc.) must manually search China's SAMR, the US NHTSA, and Korea's Automobile Recall Center separately to check for overseas recalls and defect reports. Chinese-language source documents are difficult to interpret, and it's impossible for buyers to determine whether defects in models not yet sold in Korea also affect domestic variants — delaying purchase decisions by an average of 2–3 weeks.

Solution

Daily crawling of recall/defect data from China's SAMR, US NHTSA, and Korea's Recall Center, consolidated and organized by vehicle model and component, with automatic matching to Korean-market models and Korean-language alert notifications. Core features: (1) model-specific defect timeline, (2) push notifications for registered vehicles when related recalls appear, (3) AI translation and summarization of Chinese-language defect reports.

Target: Individual vehicle owners aged 30–50 who own or are considering Chinese-made EVs; used car dealers
Revenue Model: Premium Subscription at $3/month per account (basic search free; push alerts, AI translation, and detailed reports are Paid)
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (75%)

Tech Complexity
34.7/40
Data Availability
20.4/25
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 (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
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

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