A
Game Streamer Tax Auto-Settlement
3.90
Derivation Chain
Step 1
Game streaming expansion
→
Step 2
Game creator revenue diversification
→
Step 3
Creator Tax Accounting/settlement automation
Problem
Solo creator streamers earning income from games like PUBG receive donations, ad revenue, and sponsorships across 3-5 platforms (AfreecaTV, YouTube, Chzzk), but each platform has different settlement cycles and tax withholding methods, wasting 50-100 hours annually on manual reconciliation. During comprehensive income tax filing, the inability to cross-reference earnings across platforms leads to additional Tax Accounting costs of $750-$1,500 (100-200만원) per year.
Solution
Automatically collects and consolidates settlement data from each streaming platform via API/PDF, providing a monthly revenue dashboard. Calculates 3.3% withholding tax and estimated VAT/income tax payments in real time, generating one-click tax returns during filing season. Differentiator: auto-categorization of gaming-specific expenses (equipment, internet, game purchases).
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 (69%)
Data Availability
19.4/25
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 (54/100)
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]
AI/ML [low]