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After collecting 50–200 business cards and meeting notes at overseas trade shows, Startup sales teams (5–20 employees) take 1–2 weeks to manually enter data into their CRM after returning. During that delay, leads go cold and follow-up contact response rates drop below 30%, while card loss and duplicate entries cause 10–15% of total leads to be lost.
Photograph business cards at the expo → OCR + LLM structuring → automatic voice memo summarization → CRM (HubSpot/Notion) auto-sync. Core features: (1) Multilingual business card OCR + contact normalization, (2) Voice memo → automated meeting summary generation, (3) CRM auto-sync + follow-up email draft generation.
| 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. |