A
AI & Tariff Risk Newsletter Bot
4.00
Derivation Chain
Step 1
AI & tariff uncertainty → investor sentiment contraction
→
Step 2
Information asymmetry among individual investors
→
Step 3
Curation translating AI/tariff issues into investment impact
Problem
Korean individual investors (ages 20-40, portfolio $7,500-$75,000) in US stocks spend 1-2 hours daily searching English news and reports to understand how macro issues like AI threats and tariff policy changes affect their holdings. Difficulty with technical terms and context frequently leads to panic selling or missed opportunities.
Solution
Delivers a daily morning newsletter summarizing key AI, tariff, and macro issues in Korean, with AI-analyzed per-holding impact scores (positive/negative/neutral) personalized to each user's portfolio. The Pro tier provides actionable guides per issue with hold/buy/sell signals.
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 (73%)
Data Availability
23.3/25
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 (56/100)
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]
Backend [low]