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Solo Entrepreneurs and marketers (ages 20–40, online business) check Google Trends and Naver DataLab for rising keywords daily, but spend 30 minutes to 1 hour per keyword analyzing 'what can I sell from this trend.' Most end up chasing the trend itself into red oceans, missing the pick-axe opportunities (tools that support trend participants).
Automatically collects rising trends and decomposes them into ecosystem maps (Supplier/Consumer/Infrastructure/Regulation/Education), then scores and presents SaaS/microservice opportunities for each role. (1) Real-time trend collection + automatic 5-role ecosystem mapping, (2) per-role proxy analysis of competition intensity, search volume, and community size, (3) 'Pick-Axe Score'-based opportunity ranking.
| 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. |