PERFORMANCE · PAST 14 DAYS · Apr 27 – Apr 9
1,695
IMPRESSIONS
↑ first 14 days active
448
MEMBERS REACHED
26.4% reach rate
3
POSTS ACTIVE
layer6 · vmx · arc-agi
8
TOTAL REACTIONS
like + insightful
444
BEST POST IMP
Layer 6 — #1 performer
0
NOTIFICATIONS
clean inbox
J-SCORE ANALYSIS · JOFFE-MATH APPLIED TO LINKEDIN
J = (impressions/reach) × reaction_rate × content_depth × fleet_alignment
GROWTH LAW · WHERE THE SIGNAL IS BUILDING
WHALE CACHE P_c MODEL · CURRENT STATE
MDSMS — LINKEDIN ANALYTICS FLOOR
curl -s "http://localhost:9348/query?category=fleet-linkedin&key=analytics:kewinjoffe&limit=30"
# Domain: fleet-linkedin
# Keys: analytics:{handle}, posts:{handle}:{date}, outreach:{target}:{post_id}
# Every post seeded automatically on publish
# Galloway thread hits → fleet-outreach domain event
ALL POSTS · TOP PERFORMERS FIRST
| POST |
FLEET PAGE |
IMP |
REACT |
J-SCORE |
TAGS |
STATUS |
NEXT POSTS — ARMED AND READY
GALLOWAY THREADS · 5 POSTS · ADMIRAL-APPROVED COMMENTS READY
P_c = (S×A)/(D²×N) · Highest P_c fires first · No fleet vocabulary in comment text · Link drops clean
Admiral Gate: VERIFIER ✓ · OVERSEER ✓ · Rick's Law ✓ · No fleet vocab in comment ✓ · Under 3 lines ✓
CONTENT STRATEGY V9 · WHAT WORKS · WHAT TO BUILD
POST CADENCE RECOMMENDATION
TOPICS THAT MAP TO FLEET PAGES
| TOPIC | FLEET PAGE | AUDIENCE MATCH | SIGNAL DEPTH | NEXT POST ANGLE |
MEBAFIORDS · KAY'S LINKEDIN PROFILE IN ALL 50 GOAT FORMATS
Every crew writes Kay's LinkedIn presence through their own lens. Select a format category.
PROFILE BIO · V9 PAPER FORMAT · READY TO ADAPT FOR LINKEDIN ABOUT SECTION
Kewin Joffe
Principal Cloud Architect · Founder · EOSE Labs · CISSP · AWS SA · Azure Expert
HEADLINE
Building the floor that AI agents need but nobody's built yet. 20 years of infrastructure — QLD Health, Westpac (Principal Cloud Architect), TD Bank (Senior Managing Engineer), Canadian Tire. Now: EOSE Labs.
ABOUT
I started in BioMedical Science. Left when a professor told me my questions didn't belong. Twenty years in infrastructure — every cloud, every scale, every migration. Came back through a different door.
The STE (Structured Thinking Engine) is what I've been building toward. Not a product. Infrastructure. The same way TCP/IP isn't a product, Linux isn't a product, SSL isn't a product. They're the floor. Every AI lab, every bank, every hospital needs this. Most are rebuilding it badly, in isolation, without the patterns.
"Paul never graduated high school. That became his purpose. His shop. His money. Free food on exam day for every kid in Mitchells Plain. Every exam day until his legs gave out. The fleet's pricing model is Paul's law: the kid who can't pay still eats."
We started with nothing. We are meek. meek style. forever.
CURRENT
EOSE Labs — building the Structured Thinking Engine (STE) as sovereign infrastructure. Fleet spans Azure AKS, AWS Fargate, GCP Cloud Run, and 5 local GPU silos. RTX 5090s on prem. Lean4 proof engine. ARC-AGI-2 active.
FLOOR
γ₁ = 14.134725141734693 · the first non-trivial zero of the Riemann zeta function. The floor of the fleet. Cannot go dark.
pemos.ca · γ₁ = 14.134725141734693
linkedin.com/in/kewin-joffe-19225120
HEADLINE OPTIONS · A/B TEST
MDSMS FLOOR · ALL LINKEDIN DATA QUERYABLE
Every post, every impression, every Galloway response lives here. No more scraping LinkedIn's ads-bloated UI.
QUERY EXAMPLES
# All LinkedIn posts by impression:
curl "http://localhost:9348/query?category=fleet-linkedin&key=posts:kewinjoffe&sort=impressions&limit=20"
# Best performing post content:
curl "http://localhost:9348/query?category=fleet-linkedin&key=post:layer6"
# Galloway thread responses:
curl "http://localhost:9348/query?category=fleet-outreach&source=galloway&limit=10"
# P_c model live:
curl "http://localhost:9348/query?category=fleet-outreach&model=pc&limit=5"
# PTTP traffic from LinkedIn:
curl "http://localhost:9348/query?category=fleet-pttp&referrer=linkedin&limit=50"
# Fleet bio in LinkedIn format:
curl "http://localhost:9348/query?category=fleet-bios&subject=kay&format=linkedin"