
Sign up to save your podcasts
Or


E814: In just six months, Swan scaled from zero to one million ARR with only three people on the team and zero customer acquisition cost.
This is a deep dive into how they did it, the playbook they are writing for "autonomous businesses," and why human-AI collaboration is changing the way companies grow.
We cover: - The $1M ARR journey - how three founders built a revenue engine in half a year without paid ads - The principle of human + AI collaboration - not replacing people, but creating "100x versions" of each founder through AI agents - Claude-powered content workflows - how they designed prompts and projects that consistently generate viral LinkedIn posts - Founder-led marketing - growing from 2,000 to over 33,000 followers on LinkedIn in six months - LinkedIn automations - agents that review posts, qualify leads, manage invites, and initiate lightweight outreach - Zero-CAC funnel design - how inbound from LinkedIn converts directly into demos and customers - Qualification and ICP focus - targeting SMBs using Slack and HubSpot with founder-led sales motions - Building agentic workflows - Slack-based agents that handle inbound leads, CRM updates, pipeline routing, meeting prep, and follow-ups - The autonomous business model - scaling with intelligence instead of headcount and rewriting the startup playbook - Growth channels beyond LinkedIn - podcasts, founder storytelling, and partner-led distribution - The $10M ARR per employee moonshot - how Swan is attempting to create a new model of company building
This episode is both a case study and a practical guide for founders, marketers, and operators who want to understand how AI agents can power growth without traditional overhead.
⭐️ Amos Bar-Joseph on LinkedIn - https://www.linkedin.com/in/amos-bar-joseph/ ⭐️ Amos Bar-Joseph's newsletter - https://swan-ai.beehiiv.com/ ⭐️ Amos Bar-Joseph's custom GPT - https://chatgpt.com/g/g-6800e20892b8819181df24a31ccdbf96-autonamos ⭐️ Swan - https://getswan.com/
💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/
00:00 Introduction and Business Overview 00:27 AI Collaboration and Automation 01:04 LinkedIn Engagement and Performance 08:39 Scaling Strategies and Marketing Channels 11:01 Setting Up Automations 19:57 Building a Powerful Narrative 22:23 Automating LinkedIn Content 23:43 Choosing the Right AI Path 24:10 Crafting the Perfect Post 24:50 Leveraging AI for Engagement 25:56 Iterating on Content Strategy 28:57 Automating Lead Analysis 31:45 Preparing for Meetings with AI 37:01 Scaling with Founder-Led Marketing 44:11 Future of AI in Business 45:31 Final Thoughts and Contact Information
The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/
#indiehackers #growthhacking #buildinpublic #artificialintelligence
By Edward Sturm4.8
66 ratings
E814: In just six months, Swan scaled from zero to one million ARR with only three people on the team and zero customer acquisition cost.
This is a deep dive into how they did it, the playbook they are writing for "autonomous businesses," and why human-AI collaboration is changing the way companies grow.
We cover: - The $1M ARR journey - how three founders built a revenue engine in half a year without paid ads - The principle of human + AI collaboration - not replacing people, but creating "100x versions" of each founder through AI agents - Claude-powered content workflows - how they designed prompts and projects that consistently generate viral LinkedIn posts - Founder-led marketing - growing from 2,000 to over 33,000 followers on LinkedIn in six months - LinkedIn automations - agents that review posts, qualify leads, manage invites, and initiate lightweight outreach - Zero-CAC funnel design - how inbound from LinkedIn converts directly into demos and customers - Qualification and ICP focus - targeting SMBs using Slack and HubSpot with founder-led sales motions - Building agentic workflows - Slack-based agents that handle inbound leads, CRM updates, pipeline routing, meeting prep, and follow-ups - The autonomous business model - scaling with intelligence instead of headcount and rewriting the startup playbook - Growth channels beyond LinkedIn - podcasts, founder storytelling, and partner-led distribution - The $10M ARR per employee moonshot - how Swan is attempting to create a new model of company building
This episode is both a case study and a practical guide for founders, marketers, and operators who want to understand how AI agents can power growth without traditional overhead.
⭐️ Amos Bar-Joseph on LinkedIn - https://www.linkedin.com/in/amos-bar-joseph/ ⭐️ Amos Bar-Joseph's newsletter - https://swan-ai.beehiiv.com/ ⭐️ Amos Bar-Joseph's custom GPT - https://chatgpt.com/g/g-6800e20892b8819181df24a31ccdbf96-autonamos ⭐️ Swan - https://getswan.com/
💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/
00:00 Introduction and Business Overview 00:27 AI Collaboration and Automation 01:04 LinkedIn Engagement and Performance 08:39 Scaling Strategies and Marketing Channels 11:01 Setting Up Automations 19:57 Building a Powerful Narrative 22:23 Automating LinkedIn Content 23:43 Choosing the Right AI Path 24:10 Crafting the Perfect Post 24:50 Leveraging AI for Engagement 25:56 Iterating on Content Strategy 28:57 Automating Lead Analysis 31:45 Preparing for Meetings with AI 37:01 Scaling with Founder-Led Marketing 44:11 Future of AI in Business 45:31 Final Thoughts and Contact Information
The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/
#indiehackers #growthhacking #buildinpublic #artificialintelligence

537 Listeners

192 Listeners

1,264 Listeners

2,165 Listeners

14,004 Listeners

2,286 Listeners

2,653 Listeners

2,133 Listeners

205 Listeners

358 Listeners

608 Listeners

275 Listeners

239 Listeners

55 Listeners

135 Listeners