B
Small Business Policy Risk Alert Board
3.50
Derivation Chain
Step 1
Accelerating Korean economic policy and regulatory changes
→
Step 2
Demand for small business policy impact analysis
→
Step 3
Real-time industry-specific regulatory impact translation service
Problem
Small Business Owners (restaurants, retail) with annual revenue of $75K–375K need to understand how policy news — minimum wage hikes, delivery app commission regulations, card processing fee changes — impacts their business in dollar terms. Consulting a Tax Accounting or labor specialist costs $37–75 per session and takes 1–2 weeks.
Solution
Register your business category code and revenue scale, then receive automatic monitoring of policy and Regulation news translated into concrete monthly cost/savings impact for your specific business type via push notifications. Provides LLM-powered summaries + industry-specific impact simulations.
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
Backend [medium]
AI/ML [medium]
Frontend [low]