B

Layoff Alert Subscription Service

3.25

Derivation Chain

Step 1 Global tech industry mass layoff wave
→
Step 2 Job seeker and investor demand for layoff information tracking
→
Step 3 Real-time layoff news aggregation and analysis Subscription Service

Problem

Tech industry job seekers and VC/PE investment analysts track global layoff trends by checking 10+ sources daily — Twitter, Blind, layoffs.fyi, news outlets, etc. Korean company restructuring information rarely appears on English-language sites, and extracting structured data (company name, scale, affected departments) from domestic news is difficult, consuming 3–5 hours per week on information gathering.

Solution

Automatically collects global and domestic layoff news, normalizing it into structured data fields: company name, layoff scale, affected departments, and timing. Offers filtering by industry and company size, watchlist alerts for companies of interest, and weekly trend report emails.

Target: Tech professionals with 3+ years of experience preparing for career moves, VC/PE analysts, HR consultants, ages 30–45
Revenue Model: Premium Subscription at $14/month (~1.9만 원) for individuals, $74/month (~9.9만 원) for teams of 5 with API access
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
5.0/5
V Validation
2.0/5
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.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (77%)

Tech Complexity
34.7/40
Data Availability
22.5/25
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.
Total 100 points; below 50% is filtered out.

Market Validation (50/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
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.
Total 100 points; below 50 is filtered out.

Technical Requirements

Data Pipeline [medium] Backend [low] Frontend [low]
Dashboard