~/$ koka --deploy revenue — Social Selling, But Make It Terminal | Koka Sexton
koka@sexton: ~/social-selling-engine — zsh

koka --deploy revenue-system

[ok] loading voice model: koka-2026

[ok] connecting linkedin · hubspot · make.com

[ok] engine running — daily output: 1

▮ THE SOCIAL SELLING ENGINE IS LIVE

CONTENT THAT COMPOUNDS INTO PIPELINE.

A command-line-grade content system for B2B operators. # no-drama · # daily-publish · # pipeline-attributable

./book-call.sh --now ls ./features

sh -c "trusted by GTM teams" # 3× avg pipeline lift

3×
avg pipeline lift
-42%
cost per meeting
14d
to first publish

ls -la --engine ./system

./system — 6 MODULES, ALL RUNNING

# every module ships with an owner, a cadence, and a metric

permsownersizedatename
drwxr-xr-xkoka4.0Kaug 10./content-engine/
-rw-r--r--koka1.2Maug 10linkedin-authority.md
-rw-r--r--koka864Kaug 10demand-signals.csv
-rw-r--r--koka512Kaug 10repurpose-pipeline.sh
-rw-r--r--koka768Kaug 10seo-aeo-briefs.yaml
-rw-r--r--koka256Kaug 10revenue-dashboard.json
-rw-r--r--koka128Kaug 10warm-outreach-seq.sh
-rw-r--r--koka--Kaug 10... 42 more modules

cat --live pipeline.status

PIPELINE STATUS — ALL SYSTEMS NOMINAL

# live telemetry from active client engines

content.engine[92%]
running

daily publishing, voice-matched, pre-approved. 847 assets this quarter.

linkedin.authority[87%]
running

hook-first posts + engagement loops. comments → DMs → calls.

demand.signals[78%]
running

ICP scoring on engaged readers. warm outreach, zero cold spam.

revenue.attribution[100%]
running

post → pipeline → meeting. every asset scored against revenue.

tail -f -n 3 ./logs/client-output.log

SYSTEM LOGS — WHAT OPERATORS REPORT

# unedited output from production environments

[2026-08-10 09:41:02]INFOcmo@series-b-saas

★★★★★ "We went from posting twice a month to daily, and inbound pipeline tripled in a quarter. The engine does the heavy lifting — I just approve."

— Jordan Reyes, CMO · Series B SaaS

[2026-08-09 16:12:44]INFOvp@fintech

★★★★★ "First time our content is actually connected to revenue. The dashboard shows exactly which pieces drive meetings. No more vanity metrics."

— Maya Thompson, VP Marketing · Fintech

[2026-08-08 11:03:27]INFOfounder@b2b-services

★★★★★ "My LinkedIn went from dormant to a real channel. The system wrote in my voice so well my team thought I'd hired a ghostwriter full-time."

— David Kim, Founder · B2B Services

vim --readonly ./config/pricing.conf

CONFIG FILE — NO SURPRISE DEPENDENCIES

# flat pricing. 90-day minimum. compounding included.

pricing.conf — vim 
# ksb pricing config — last updated 2026-08-10
# all plans include: voice model · daily engine · attribution dashboard

[starter]
  price          = $5,000/mo
  pipeline       = linkedin-authority
  output         = daily posts + weekly article
  founder-time   = 45 min/week

[scale]  # most common
  price          = $10,000/mo
  pipeline       = linkedin + demand-signals + outreach
  output         = daily omnichannel + lead magnets
  founder-time   = 1 hr/week

[enterprise]
  price          = custom
  pipeline       = full-stack + team training + handover
  output         = multi-brand engines
  founder-time   = as low as you want

# try before you buy:
# ./book-call.sh  →  30-min strategy call, no PDF, no pressure
./book-call.sh --now

git diff --stat treadmill..engine

git diff — BEFORE → AFTER

# 5 files changed, all in your favor

diff --git a/your-content-strategy b/your-revenue-engine
- cadence:        "when inspired"            → sporadic posts
- measurement:    "likes + impressions"      → vanity metrics
- founder-time:   "8+ hrs/week producing"    → burnout tax
- outreach:       "cold, unpersonalized"     → ignored inbox
- compounding:    "every asset starts at 0"  → zero momentum
+ cadence:        "daily, system-driven"     → never misses
+ measurement:    "pipeline contribution"    → revenue dashboard
+ founder-time:   "45 min/week approving"    → reclaimed calendar
+ outreach:       "warm, signal-based"       → welcomed messages
+ compounding:    "every asset feeds next"   → snowball effect
# 5 insertions, 5 deletions — no merge conflicts

man --quick ksb-engine

man ksb-engine — COMMON QUERIES

# press the arrow to expand a query

▸ $ ksb --help "will it sound like me?"
YES. OR IT DOESN'T SHIP. We train your voice model on 20–50 of your best assets before anything publishes. You approve every piece for the first month — veto rights are permanent.
▸ $ ksb --compare agency-vs-engine
AGENCIES SELL DELIVERABLES. WE BUILD MACHINES. You're not buying posts or articles — you're buying an operating system that produces pipeline-attributable content indefinitely, plus the operator who runs it.
▸ $ ksb --eta results
14 DAYS TO FIRST ASSET. 4–8 WEEKS TO PIPELINE. We set honest expectations in week 1 and show you the dashboard so you can watch the compounding happen in real time.
▸ $ ksb --require linkedin
YES — BUT NOT THE HEAVY LIFTING. Your voice is the asset and LinkedIn is where B2B buyers research. You approve, occasionally record 5 minutes of video, and show up for engagement the system sets up.
▸ $ ksb --merge internal-team
EVEN BETTER. We plug into your existing stack, train your team to run the engine, and hand over the keys. Most engagements end with the machine running on your side.
▸ $ ksb --cost --commitment
$5K/MO MINIMUM, 90-DAY COMMITMENT. That's the time compounding needs to become visible. One 30-minute call tells you exactly which plan you need and what ROI to expect.
koka@sexton: ~/final — zsh 
      ___           ___           ___           ___
     /  /\         /  /\         /  /\         /  /\
    /  /::\       /  /::\       /  /::\       /  /::\
   /__/:/\:\     /__/:/\:\     /__/:/\:\     /__/:/\:\
   \__\/::\/     \__\/::\/     \__\/::\/     \__\/::\/
      /:/          /:/          /:/          /:/
     /:/          /:/          /:/          /:/
     \/           \/           \/           \/

EXECUTE.

One 30-minute call. We map your engine, show you the pipeline math, and tell you honestly if we're the right fit.

./book-call.sh --now echo "hello@kokasexton.com"

# exit code 0 — no fluff found