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.

Target: Individual biotech/pharma stock investors (ages 30–50, portfolio $37,000+), research analysts at small asset management firms
Revenue Model: SaaS Monthly Subscription: up to 5 stocks free, 30 stocks at $29/month, unlimited + competitor analysis at $74/month
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
4.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation 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%)

Tech Complexity
34.7/40
Data Availability
18.8/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.

Market Validation (69/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.

Technical Requirements

Data Pipeline [medium] Backend [low] AI/ML [low]
Dashboard