B

Personalized Food Safety Recall Alerts for 50s

3.60

Derivation Chain

Step 1 Toss lucky quiz (Hatbahn, Bibigo)
→
Step 2 50s processed food purchase dependency
→
Step 3 Failure to recognize food recall and safety warnings

Problem

People in their 50s-60s continue to consume processed foods they regularly buy at the supermarket (such as Hatbahn, Bibigo, etc.) even when recall or retrieval orders are issued. The Ministry of Food and Drug Safety posts recall notices only on its website, and news coverage is one-off, making it easy to miss. In particular, 50s in single- or two-person households rely heavily on convenience foods, increasing their risk of exposure to recalled products.

Solution

On the web, users register frequently purchased food brands/products, and receive immediate alerts when the Ministry of Food and Drug Safety issues recalls, retrievals, or nonconformity determinations. When users input expiration dates, the service determines whether the specific lot number is affected. It also recommends alternative products.

Target: Ages 50-65, single- or two-person households, primary buyers of convenience and processed foods, health-conscious consumers.
Revenue Model: Free basic alerts (5 products). Premium (unlimited + food additive risk analysis + monthly safety report) at 1,900 KRW (approx. $1.43) per month.
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
5.0/5
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 (73%)

Tech Complexity
32.0/40
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.
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

Frontend [low] Backend [medium]
Dashboard