B
Crypto Bear Market Content Auto-Generator
3.50
Derivation Chain
Step 1
Bitcoin sharp drop
→
Step 2
Surge in content demand from crypto media/influencers
→
Step 3
Auto-generation tool for crypto content creators
→
Step 4
Content fact-check & auto source citation service
Problem
During sharp cryptocurrency drops, crypto YouTubers/bloggers/newsletter writers need to publish analysis content within 24 hours, but collecting and analyzing on-chain data, exchange data, and macro indicators takes 4-8 hours. Falling behind in the breaking news race directly leads to subscriber churn, and hastily written content loses credibility due to factual errors.
Solution
Upon detecting a sharp drop event, automatically collects (1) on-chain data (large transfers, net exchange inflows), (2) exchange liquidation data, (3) Fear & Greed Index, and (4) related news, then generates analysis drafts using an LLM. Automatically attaches source links to all figures, with selectable output formats for YouTube scripts, blog posts, and newsletters.
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 (69%)
Data Availability
19.6/25
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 (52/100)
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]
AI/ML [medium]
Frontend [low]