B

Ethereum Tax Rehearsal

3.70

Derivation Chain

Step 1 Ethereum surge and increased cryptocurrency trading
→
Step 2 Implementation of cryptocurrency taxation
→
Step 3 Simulation of sell/hold strategies before taxation

Competitor references

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

Problem

For office workers in their 30s-40s investing in cryptocurrency, it is difficult to accurately calculate after-tax returns based on selling timing during Ethereum surges under the virtual asset taxation implemented in 2026 (22% tax rate on profits exceeding 2.5 million KRW, approx. $1,875). Manually calculating the average purchase price across multiple exchanges like Upbit and Bithumb takes over 30 minutes per transaction, and incorrect calculations can lead to tax filing errors and penalty surcharges.

Solution

A service that automatically syncs transaction histories from Upbit, Bithumb, and Binance to calculate real-time after-tax returns and provides a 'how much tax if I sell now' simulation. It includes annual profit-loss netting strategy recommendations and automatic generation of tax filing PDFs for the National Tax Service.

Target: Office worker investors in their 30s-40s trading cryptocurrencies on multiple exchanges, with annual transaction volume of 10 million KRW (approx. $7,500) or more.
Revenue Model: Premium: 39,000 KRW/month per account (approx. $29.25) (Free: 1 exchange integration, Premium: 3 exchanges + report generation), tax accountant review option per transaction 20,000 KRW (approx. $15).
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
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 (64%)

Tech Complexity
29.3/40
Data Availability
15.0/25
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

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