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Individual cryptocurrency investors cannot interpret ETF fund inflow/outflow data from institutions like BlackRock and Fidelity, leading to repeated panic selling or late FOMO buying. Reading SEC filing originals requires English financial terminology knowledge, and analyzing the correlation between institutional fund flows and BTC price movements is beyond most retail investors.
Collects daily net inflow/outflow data from major Bitcoin ETFs (BlackRock, Fidelity, etc.), provides plain-language summaries in Korean, and automatically cross-references historical similar patterns with subsequent price movements. Generates proprietary indicators such as an 'Institutional Fear Index' and delivers alerts via Telegram/KakaoTalk.
| 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. |