B
Accommodation Safety Rating Comparator
3.85
Derivation Chain
Step 1
Social shock from serial motel murders
→
Step 2
Surge in Accommodation safety anxiety
→
Step 3
Accommodation safety information transparency SaaS
Problem
Following serial motel murders, public anxiety about Accommodation safety has surged, yet consumers have no single source to check CCTV installation, emergency exit locations, police dispatch history, or hygiene inspection results when booking. Searching individually takes 20-30 minutes on average, and fragmented information makes informed decisions difficult.
Solution
Aggregates data from the Ministry of the Interior and Safety's Living Safety Map (crime alert zones), fire safety inspection results, hygiene inspection data, and user review sentiment analysis to calculate a 'Safety Rating (A-F)' for each Accommodation. Maps to properties on Naver Map/Yanolja and provides a browser extension and mobile view for checking safety ratings before booking.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (70%)
Data Availability
20.8/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (50/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Data Pipeline [medium]
Backend [low]
Frontend [medium]