A
Property Sale Timing Coach
3.80
Derivation Chain
Step 1
Presidential real estate liquidation & normalization policy
→
Step 2
Real estate transaction activation
→
Step 3
Seller-side pricing & tax decision-making tool
Problem
As real estate normalization policies drive more multi-property owners to consider selling, calculating the combined impact of capital gains tax, comprehensive real estate tax, and health insurance premium adjustments requires either paying a tax accountant $225–$375 per consultation or separately querying the National Tax Service, National Health Insurance, and local government systems. After-tax proceeds can differ by tens of thousands of dollars depending on sale timing, yet without simulation tools, owners rely on gut-feel decision-making.
Solution
Input property details (acquisition price, holding period, assessed value) to run an integrated simulation of capital gains tax, comprehensive real estate tax, and health insurance premium changes by sale timing. Provides a month-by-month after-tax net proceeds comparison graph over a 12-month horizon, a multi-property tax surcharge avoidance strategy guide, and a long-term holding special deduction application timeline.
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
20.6/25
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 (59/100)
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 [medium]
Data Pipeline [low]