When people in their 50s, around retirement, try to start a new hobby (fishing, hiking, woodworking, photography, coffee, audio, etc.), the necessary equipment, education, and club information is scattered across blogs, cafes, and YouTube. Beginners often waste 200,000-500,000 KRW (approx. $150-$375) by buying excessive equipment or enrolling in classes that don't match their level. Especially, those in their 50s feel barriers to entering communities centered on people in their 20s and 30s.
Selecting a hobby field provides a step-by-step roadmap tailored to beginners in their 50s: minimum essential equipment setup and budget-based recommendations, comparison of introductory classes, and a list of clubs welcoming people in their 50s. It specifies expected cost and time investment for each step and includes a 'minimum investment that won't be a loss even if you quit at this stage' guide.
| 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. |