Bitcoin Tax Rehearsal Service

4.00

Derivation Chain

Step 1 Bitcoin crash and geopolitical risks

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Step 2 Tax postponement confusion among cryptocurrency holders in their 50s

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Step 3 After-tax profit simulation by selling timing + health insurance premium linkage

Problem

Many office workers in their 50s purchased Bitcoin in 2020-2021, and Korea's cryptocurrency taxation has been postponed multiple times, now scheduled for implementation in 2027. Depending on whether they sell their current holdings before or after the tax takes effect, the tax difference can reach several million KRW, but few people accurately understand the cost basis calculation methods (FIFO vs. moving average) and how the basic deduction of 2.5 million KRW (approx. $1,875) applies. Since each exchange has a different format for downloading transaction history, manual calculation is very cumbersome.

Solution

Upload CSV transaction histories from major domestic exchanges (Upbit, Bithumb, Coinone) to automatically calculate cost basis under FIFO/moving average methods, compare after-tax net proceeds from selling now vs. after the tax takes effect, optimize taxes across partial sale scenarios, and display impacts on comprehensive financial income taxation and health insurance premiums.

Target: Office workers aged 45-60 who purchased cryptocurrency in 2020-2021 and have held it long-term, with total holdings of 10 million to 100 million KRW (approx. $7,500–$75,000), and are considering the timing of selling.

Revenue Model: One free simulation (up to 100 transactions), full history analysis + optimal selling strategy report per transaction 9,900 KRW (approx. $7.43), tracking alerts until tax implementation monthly 4,900 KRW (approx. $3.68)

Ecosystem Role: Supplier

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

5.0/5

M Market

4.0/5

R Realizability

4.0/5

V Validation

4.0/5

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.

N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (68%)

Tech Complexity

29.3/40

Data Availability

18.3/25

MVP Timeline

20.0/20

API Bonus

0.0/15

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 (64/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

20.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

12.0/15

Solo Buildability

7.0/10

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

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

Dashboard