B
Pharma Pipeline Alert Bot
3.05
Derivation Chain
Step 1
Novo Nordisk's disappointing drug results trigger stock crash
→
Step 2
Biotech investors need pipeline event tracking
Problem
Individual investors in domestic biotech/pharma stocks (estimated ~1.5 million accounts) face immediate stock price impacts from pipeline events such as clinical trial results, FDA/MFDS approvals, and partnership announcements. However, this information is scattered across SEC filings, ClinicalTrials.gov, MFDS announcements, and IR materials, causing investors to spend 30–60 minutes daily on tracking yet still frequently miss critical events.
Solution
Register watchlist stocks (domestic and international biotech/pharma) to automatically collect clinical trial phase changes, regulatory approvals/rejections, partnerships, and competitor movements, then receive summarized alerts via KakaoTalk/Telegram. Provides an event timeline and expected catalyst calendar to support investment decisions.
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
18.8/25
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 (69/100)
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]
Backend [low]
AI/ML [low]