S
Commercial Code Treasury Stock Audit Tool
4.05
Derivation Chain
Step 1
Commercial Code amendment mandating treasury stock retirement
→
Step 2
Listed company treasury stock management compliance demand
→
Step 3
Automated treasury stock retirement compliance audit SaaS
Problem
With the 3rd Commercial Code amendment making treasury stock retirement mandatory, IR/finance teams (3-20 employees) at KOSPI and KOSDAQ-listed companies must manually track treasury stock holdings, plan retirement schedules, and draft disclosure statements. In the early stages of enforcement with unclear legal interpretations, missing retirement deadlines triggers penalty risks and shareholder lawsuits, while external law firm advisory fees alone cost $3,750-$15,000 (~5-20 million KRW) per engagement.
Solution
Automatically collects DART disclosure and electronic voting data to track treasury stock holding changes in real-time, providing automated D-90/60/30 retirement deadline alerts and draft disclosure generation. Supports IR team decision-making with benchmark reports of retirement cases from similarly-sized companies, reducing costs to 1/10th of law firm fees.
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
20.4/25
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 (62/100)
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]
Frontend [low]
AI/ML [medium]