B
AI Tax-Optimization Portfolio
2.85
Derivation Chain
Step 1
AI boom asset surge driving tax-saving demand
→
Step 2
High-net-worth tax advisory services
→
Step 3
AI-powered tax-saving scenario simulation SaaS
Problem
IT professionals in their 30s-40s whose assets have surged through AI/tech stock options or crypto need to optimize capital gains tax, comprehensive income tax, and gift tax, but individual tax advisor consultations cost KRW 300,000-1,000,000 (~$225-$750) per session. Comparing complex scenarios—such as overseas stock capital gains tax, optimal stock option exercise timing, and whether to incorporate—requires multiple consultations, resulting in annual tax advisory costs of KRW 2,000,000-5,000,000 (~$1,500-$3,750).
Solution
Users input their assets (domestic/overseas stocks, stock options, crypto, Real Estate), and the system auto-simulates 20+ tax-saving scenarios including exercise, sale, gifting, and incorporation, comparing after-tax returns. It reflects annual tax law changes and presents an optimal execution timeline via calendar view.
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 (58%)
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 (51/100)
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 [high]
Frontend [medium]
Data Pipeline [low]