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

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

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.

Target: Multi-property owners holding 2–5 properties (ages 40–60), pre-retirees considering property liquidation
Revenue Model: Premium one-time simulation $7.50, Monthly Subscription $22/mo (unlimited simulations + alerts), tax accountant referral fee $22 Per Transaction
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
5.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.6/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (59/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
20.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Frontend [medium] Data Pipeline [low]
Dashboard