A

Crypto ETF Fund Flow Interpreter

3.95

Derivation Chain

Step 1 Expanding institutional inflows into Bitcoin spot ETFs
→
Step 2 Retail investor demand for institutional fund flow interpretation
→
Step 3 Real-time ETF net inflow/outflow interpretation service

Problem

Individual cryptocurrency investors cannot interpret ETF fund inflow/outflow data from institutions like BlackRock and Fidelity, leading to repeated panic selling or late FOMO buying. Reading SEC filing originals requires English financial terminology knowledge, and analyzing the correlation between institutional fund flows and BTC price movements is beyond most retail investors.

Solution

Collects daily net inflow/outflow data from major Bitcoin ETFs (BlackRock, Fidelity, etc.), provides plain-language summaries in Korean, and automatically cross-references historical similar patterns with subsequent price movements. Generates proprietary indicators such as an 'Institutional Fear Index' and delivers alerts via Telegram/KakaoTalk.

Target: Crypto retail investors aged 20-40, crypto-focused YouTubers and bloggers
Revenue Model: Premium Subscription at 29,000 won (~$22)/account/month (real-time alerts + detailed reports), Free tier limited to one daily summary
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
5.0/5
V Validation
3.0/5
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 (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.
Total 100 points; below 50% is filtered out.

Market Validation (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
9.0/15
Solo Buildability
8.0/10
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] AI/ML [low] Backend [low]
Dashboard