B

Bitcoin Tax Rehearsal Service

4.00

Derivation Chain

Step 1 Bitcoin crash and geopolitical risks
→
Step 2 Tax postponement confusion among cryptocurrency holders in their 50s
→
Step 3 After-tax profit simulation by selling timing + health insurance premium linkage

Competitor references

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

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 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 (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/ 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 (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/ 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

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