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zero2first

Swan AI

THIN

3-person team, $0 CAC, ~$1M ARR — a Claude-driven LinkedIn content engine

data verified 2026-09-17 · source list at bottom

Evidence level: THIN

Single source: The Edward Show founder interview (Amos Bar-Joseph). No revenue docs, no third-party corroboration — included because the $0 CAC + agentic content workflow is a representative 2025–2026 play, but treat every number as single-source.

The 5 fields

01

Startup cost

startup_cost

Not disclosed (3-person team)

No funding info; $0 CAC is an acquisition-side saving, not a startup-cost claim.

02

Launch channel

launch_channel

LinkedIn content (founder-driven)

Same family as Base44/Kuse: founder account IS the channel; content produced in bulk by a Claude agentic workflow.

03

GEO & AI visibility

geo_ai_visibility

Claude-generated LinkedIn content distributed by recommendation algorithm

Cousin of GEO but different target: recommendation-algorithm citation, not AI-search citation; the replicable core is content-engine people-efficiency.

04

First paying customer

first_customer

Not disclosed

The interview gives no first-order detail — the thinnest field in this case.

05

30-day playbook

playbook_30day

See the $49 execution template pack

Minimal replica: Claude content workflow + 3-role split.

Verified metrics

Figures that can be checked against statements, filings, or dated interviews.

ARR (founder-reported)~$1M; 9 weeks / 6 months — accounts differ
Customer acquisition cost$0 (self-reported)
Team size3

Status as of 2026

Limited public info; filed as an “AI content-workflow-driven business” sample — its replicability is the method, not the revenue figure.

Sources & verification

Copy this cold start

The 30-day playbook for this case is in the $49 template pack; the full index (all cases, all fields, updates) is $19/month.

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