⚡ SIGNAL SCOUT CONTROL CENTER
Ingestion · Lenses · 12-Layer Scoring · Frameworks · Outputs
1. Ingestion Config
2. Lens / Filter
3. Score Signal
4. Signal Queue
5. Frameworks
6. Studio Config
7. Output Studio
8. Live Sweep
► HN Algolia Search Queries
Active queries — results ingested on each run
enterprise AI data platform strategy ×
agentic AI workflow automation ×
LLM efficiency frugal AI inference ×
Snowflake Databricks lakehouse ×
⟳ Ingesting 847 sources...
► 12-Layer Scoring Engine
L1 Emergence w: 0.30
0.85
L2 Thought Leader Override OVERRIDE ON
✓ Tier 0 — floors score at 0.90
L3 Question Gap w: 0.15
0.72
L5 Competitive Gap w: 0.15
0.91
L7 Source Trust w: 0.20
0.88
L10 Keywords w: 0.25
0.76
FINAL SCORE
0.89
IMMEDIATE
emergenceIn = 0.85
relevanceIn = 0.84
base = 0.82
final = 0.89
► Signal Queue — 3 signals
1.00
IMMEDIATE
Andrej Karpathy: Most enterprise AI spend is going to the wrong layer
TWITTER · @karpathy · 14d ago · Emergence: 1.0 · L2 Override: ON
AuthorAndrej Karpathy
PlatformTwitter / X
Score1.00 — IMMEDIATE
Domainenterprise AI, LLM efficiency
0.73
ROUTE
Snowflake announces Cortex updates aimed at context engineering
PRESS RELEASE · Snowflake · 13d ago · Competitive Gap: 0.91
0.50
DIGEST
LinkedIn post from client AI lead: We over-built our agent stack
LINKEDIN · 13d ago · Keywords: 0.76
► Framework Library
SPARK
Thought leadership. Signal → Perspective → Angle → Relevance → Key takeaway
PAS
Problem → Agitate → Solution. Classic conversion framework.
StoryBrand
Hero-centered narrative. Character, problem, guide, plan, CTA.
AIDA
Attention → Interest → Desire → Action.
Data-Driven
Lead with numbers. Stat → insight → implication → action.
Hot Take
Contrarian angle. Challenge consensus with evidence.
Trend Piece
Market movement. What's shifting, why it matters, what's next.
Prediction
Forward-looking. Where the market is heading in 12-18 months.