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Sports fan merchandise sellers (on platforms like Naver SmartStore and Idus) rely on intuition to determine which player-, team-, or event-related products sell well. They only realize demand shifts from mid-season events—popular player changes, trades, record milestones—after the fact, causing trending product launches to lag by 1–2 weeks and missing $375–$1,500 (~50–200만원) in monthly sales opportunities.
Collects social media buzz volume, community mention frequency, and search trends in real time to calculate a 'fandom heat index' per player, team, and event. Provides surge keyword alerts, trending product planning recommendations, and competitive seller new-listing monitoring in a unified dashboard.
| 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. |
| 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. |
| 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. |