A

Scholarship Match Auto-Alert

4.15

Derivation Chain

Step 1 Active scholarship awards from foundations/universities
→
Step 2 College students seeking scholarships
→
Step 3 Tool to solve fragmented scholarship information problem

Problem

College students spend 3-5 hours per month individually checking 50+ websites—university portals, local government sites, private scholarship foundations—to find scholarships they qualify for. Missing announcements despite meeting eligibility criteria is common, resulting in lost scholarship opportunities worth thousands of dollars annually.

Solution

Provides automated collection of scholarship announcements from nationwide foundations, universities, and local governments + automatic eligibility matching based on student profiles (major, GPA, income bracket, region) + deadline alerts via KakaoTalk/push notifications, ensuring students never miss a scholarship they qualify for.

Target: Students enrolled in 4-year universities and colleges nationwide (~3 million), especially those in income brackets 1-4
Revenue Model: Premium Subscription ~$22/month (personalized matching + personal statement review), basic alerts are Free (ad-supported), B2B university license ~$2,250/year per school
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
M Market
5.0/5
R Realizability
5.0/5
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.
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 (72%)

Tech Complexity
29.3/40
Data Availability
23.1/25
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 (59/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
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 [medium] Frontend [low]
Dashboard