B
Tech Conference Custom Briefing Service
2.60
Derivation Chain
Step 1
MWC26 AI infrastructure innovation exhibition + Korean telecom carriers' participation
→
Step 2
Domestic telecom equipment & component SMEs
→
Step 3
Global tech conference content custom summarization & business opportunity matching
Problem
Domestic telecom equipment and component SMEs (annual revenue $7.5M-$75M) that cannot attend global tech conferences like MWC, CES, or GTC in person spend 2-3 weeks having staff sift through hundreds of sessions to identify relevant technology trends. Manually reading English presentation materials and assessing relevance to their business frequently causes them to miss key opportunities.
Solution
Automatically collects official conference session listings, presentation slides, and press releases, then matches them against the company's registered technology keywords to generate a custom briefing report. Provides a business relevance score for each session along with potential partner and competitor information.
NUMR-V Scores
NUMR-V Scoring System
| 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. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (72%)
Data Availability
23.1/25
Feasibility Breakdown
| 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. |
Market Validation (50/100)
Validation Breakdown
| 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. |
Technical Requirements
Data Pipeline [medium]
AI/ML [medium]
Frontend [low]