B
Stock News Regulatory Risk Detector
3.35
Derivation Chain
Step 1
KOSPI surge & semiconductor stock volatility
→
Step 2
Need for regulatory risk monitoring on investment holdings
→
Step 3
Policy/regulatory change impact analysis service for individual stocks
Problem
Individual investors holding semiconductor and AI-related stocks struggle to assess how policy changes — U.S. export controls, Korea's Semiconductor Special Act, EU AI regulations — impact their holdings. Legislative proposals from the National Assembly, Ministry of Economy enforcement decree revisions, and U.S. Department of Commerce notices are scattered across multiple channels. Over 80% of investors only learn about regulatory risks after a stock price crash.
Solution
Automatically monitors domestic and international regulatory/policy changes that may affect the user's holdings. Crawls Korea's National Assembly Bill Information System, Ministry of Economy/Industry press releases, and the U.S. Federal Register, then uses an LLM to assess stock relevance. Delivers alerts for high-relevance regulatory changes with summaries and impact analysis.
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 (72%)
Data Availability
22.5/25
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 (57/100)
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]
AI/ML [medium]
Frontend [low]