
Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
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Total monthly reach
Estimated from 4 chart positions in 4 markets.
By chart position
- 🇸🇬SG · Entrepreneurship#3510K to 30K
- 🇬🇷GR · Entrepreneurship#3710K to 30K
- 🇰🇪KE · Entrepreneurship#1003K to 10K
- 🇳🇿NZ · Entrepreneurship#186500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
7.0K to 22K🎙 Daily cadence·1,000 episodes·Last published yesterday - Monthly Reach
Unique listeners across all episodes (30 days)
24K to 73K🇸🇬41%🇬🇷41%🇰🇪14%+1 more - Active Followers
Loyal subscribers who consistently listen
9.4K to 29K
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Platform Distribution
Reach across major podcast platforms, updated hourly
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 14 epsHost
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Recent episodes
The Next $1T Opportunity Isn’t SaaS
Jun 4, 2026
12m 14s
How to Use AI to Grow Revenue in 2026
May 28, 2026
14m 07s
You’re Still Using AI Like It’s 2023
May 25, 2026
10m 52s
The Single Brain Setup That Makes Teams 100x Faster
May 21, 2026
11m 22s
How /goal Will Grow Your Revenues So Fast It's Unfair
May 19, 2026
12m 04s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/4/26 | ![]() The Next $1T Opportunity Isn’t SaaS | Everyone is chasing AI software, but the biggest opportunity may actually be services. In this video, Eric explains why top investors are betting on services-as-software, how AI is reshaping agency and consulting business models, and why the future belongs to companies that sell outcomes instead of labor. He breaks down managed growth loops, AI-powered operating systems, and the new organizational structures that will separate winners from everyone else. If you're building an agency, consulting firm, service business, or AI startup, this video will change how you think about growth, valuation, and the next decade of opportunity. Chapters (00:00) Why Services Beat SaaS (01:13) The $1 Software vs $6 Services Opportunity (02:52) Why Managed Growth Loops Matter (04:49) Agents, Loops, and Human Judgment (06:43) How Single Brain Powers AI Service Businesses (07:22) The Services-as-Software Manifesto (08:41) The New AI-Native Org Chart (10:13) Building Outcome-Based Offers (11:13) Final Thoughts | 12m 14s | ||||||
| 5/28/26 | ![]() How to Use AI to Grow Revenue in 2026 | Most businesses are still using AI the wrong way. They are stuck using ChatGPT like a search engine while the companies moving fastest are building end to end workflows, autonomous agents, and closed loop systems that compound over time. In this video, I break down the four levels of AI adoption in business, why most teams fail with implementation, and how to actually build systems that increase revenue instead of creating more busy work. I also walk through real examples of how we use Hermes, OpenClaw, Slack, and specialized agents inside our company to handle strategy, analytics, ad creatives, workflows, and decision making. If you want to understand how AI will actually change the way businesses operate over the next 12 months, this is the framework you need to see. Chapters: (00:00) Why Most Businesses Use AI Wrong (00:22) The 4 Levels of AI Adoption (01:03) Open Loops vs End to End Workflows (02:31) The Power of Closed Loop Systems (03:52) Why AI Adoption Is Failing in Companies (05:30) Why Every Business Needs One Brain (06:50) The Future Org Chart of AI Teams (07:52) Real Examples of AI Agents at Work (09:14) Build in 22 Minutes, Not 22 Weeks (09:53) How I Use Hermes Inside Slack (11:43) Creating Compounding Growth Loops (12:48) Why Nobody Talks About This Yet | 14m 07s | ||||||
| 5/25/26 | ![]() You’re Still Using AI Like It’s 2023 | Most people are still using AI like it is 2023. They use ChatGPT like a search engine, ask random questions, and stop there. In this video, I break down the three levels of AI usage from open loops to end to end workflows to fully closed loop systems that recursively improve themselves over time. I walk through practical examples including travel planning workflows, AI sales systems, autonomous agents, Slack based collaboration, YouTube content packaging, investment research, and how I personally use Hermes and OpenClaw agents every day. I also show how AI agents can work together inside Slack, connect to tools like Google, Meta, SEO platforms, X, and internal systems, and become true thought partners instead of simple chatbots. If you want to actually understand how to use AI for leverage instead of just experimentation, this is the framework. Chapters: (00:00) Why most people use AI the wrong way (00:23) Open loops vs end to end workflows vs closed loops (01:18) Building repeatable AI workflows (02:44) How recursive self improving systems work (04:18) Why autonomous agents matter (05:02) How I use Hermes and OpenClaw daily (06:00) Using AI for YouTube content and research (06:45) AI investing research and thought partnership (08:25) Running multi threaded workflows inside Slack (09:11) Why closed loop systems are the future | 10m 52s | ||||||
| 5/21/26 | ![]() The Single Brain Setup That Makes Teams 100x Faster | Most companies are using AI completely wrong. They use ChatGPT in isolation, run random prompts, and wonder why nothing compounds. In this video, I break down the exact Single Brain system we use to connect agents like OpenClaw, Hermes, and NemoClaw into one unified intelligence layer that helps teams move dramatically faster. We cover how these AI fleets plug into Slack, HubSpot, Salesforce, Google Search Console, analytics tools, ad accounts, and internal data systems to create a compounding workflow engine that actually generates revenue. I also walk through real examples including AI generated ad creatives, automated reporting, scaling top performing campaigns into hundreds of variants, reducing operational costs by $500,000, and how one person with agents can outperform entire traditional teams. If you want to understand where AI agents are actually heading and how businesses are using them to create leverage right now, this is the framework. Chapters: (00:00) Why most AI adoption fails (02:06) Connecting all your business tools into one brain (03:22) The AI org chart of the future (05:20) Why most teams are still using AI wrong (06:31) Human timelines no longer work (07:10) Building ad creatives with AI agents (08:06) Scaling campaigns into 200 variants automatically (08:47) How $7,500 in tokens saved $500,000 (10:02) Why AI agents will replace traditional workflows | 11m 22s | ||||||
| 5/19/26 | ![]() How /goal Will Grow Your Revenues So Fast It's Unfair | Here’s why most AI agent systems break once they touch real business operations. The issue is not intelligence. The issue is control. Most companies are building disconnected prompts with no evaluation systems, no approval layers, and no recursive learning loops. That works for demos, but it falls apart when agents start touching production systems, ad spend, customer data, or outbound communication. The better approach is treating agents like an operational command system. Hermes becomes the control tower that launches goals, evaluates outputs, routes approvals, stores learnings, and continuously improves future execution while humans stay in the loop for anything high risk. In this video I break down how the AI optimization lab works, why recursive self improvement matters, how approval gates protect revenue and reputation, the difference between safe autonomy and dangerous autonomy, and how to structure agents that continuously move the business forward without creating operational risk. Chapters: (00:00) The real problem with AI agents (00:54) AI optimization lab explained (02:00) Hermes as the control tower (03:26) Safe autonomy for businesses (04:56) Why approval gates matter (06:01) Human approval for risky actions (07:42) Recursive self improvement loops (09:20) Scaling autonomous systems (10:31) Using Hermes to grow revenue faster | 12m 04s | ||||||
| 5/14/26 | ![]() The One File That Makes AI Actually Understand Your Brand (And Drive More Sales) | Here’s why Google’s new design.md standard could completely change how brands create content with AI agents. Right now most brands exist in formats AI can’t consistently understand. Your landing pages, ads, decks, and creative assets are scattered everywhere with no persistent design memory. Google’s new design.md format changes that by giving agents a structured way to understand your visual identity and generate assets that actually stay on-brand. In this video I break down how design.md works, why Google is trying to make it the default standard for AI-generated design, how we’re using it internally with agents, and why this becomes massively important for marketing teams trying to scale creative output without losing consistency. Chapters: (00:00) Why AI currently cannot “see” your brand (00:22) Google’s new design.md standard explained (01:06) Why Google wants to own the format (01:37) Real examples using ClickFlow and Single Grain (02:21) How agents generate branded assets automatically (02:43) Why open standards matter more than lock-in (03:23) The massive impact on marketing teams (04:04) Sales decks and personalized design workflows (05:01) The GitHub repo with reusable design systems (05:24) Using inspiration from top-performing websites (06:13) Why design.md could become the industry standard (06:29) How revenue agents change creative production | 7m 22s | ||||||
| 5/11/26 | ![]() Hermes Vs OpenClaw - Which One Makes More Money? | Here’s the real difference between OpenClaw and Hermes when it comes to actually making money with AI agents. OpenClaw has the bigger ecosystem, more integrations, more community support, and way more features. Hermes is newer, but it’s faster, more reliable, and learns alongside you over time through persistent memory and skill files. In practice, that means OpenClaw feels like the execution layer, while Hermes feels more like the brain. In this video I break down where each agent wins across reliability, security, features, and community, how we structure them inside our “single brain” system, why reliability matters more than features for business use cases, and the exact way we’re thinking about deploying agent fleets inside companies right now. Chapters: (00:00) OpenClaw vs Hermes overview (00:28) What OpenClaw already helped us achieve (01:05) Why Hermes feels more stable (01:23) The 4 categories that matter most (01:52) How our team uses agents inside Slack (02:25) Reliability problems with OpenClaw (03:14) Security tradeoffs and risks (04:23) Why OpenClaw still wins on community (05:05) Feature comparison between both agents (05:44) Why reliability matters most for business (06:07) Hermes as the “brain” and OpenClaw as execution (06:54) Final verdict on which agent wins today | 8m 11s | ||||||
| 5/8/26 | ![]() OpenClaw Just Replaced My ENTIRE Cold Email Operation✨ | cold emailautomation+3 | — | OpenClawInstantly+1 | — | cold emailautomation+3 | — | 11m 47s | |
| 5/7/26 | ![]() Is It Game Over For OpenClaw✨ | OpenClaw reliabilityautonomous agents+3 | — | OpenClawHermes+2 | — | OpenClawreliability+5 | — | 11m 00s | |
| 5/4/26 | ![]() This Happened 3 Times In 125 Years. AI Just Did It Again✨ | AI and employmenttechnology impact+4 | — | radiologyagriculture+2 | — | AImass unemployment+5 | — | 7m 12s | |
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| 4/30/26 | ![]() I Spent $7,500 on Claude Last Month (Here's The ROI)✨ | AI investmentROI+4 | — | Claude | — | AI tokensROI+3 | — | 8m 45s | |
| 4/27/26 | ![]() OpenClaw + Hermes is INSANE✨ | marketingworkflow automation+3 | — | OpenClawHermes | — | OpenClawHermes+6 | — | 8m 52s | |
| 4/24/26 | ![]() OpenClaw's New "Revenue Agents" Are INSANE✨ | AIsales+5 | — | ObsidianSingle Grain | — | revenue agentsworld brain+5 | — | 11m 02s | |
| 4/20/26 | ![]() I Just Built A Full Fleet of Revenue Agents Inside My Computer (Full Breakdown)✨ | AI agentsbusiness automation+4 | — | SinglebrainFlash+3 | — | AI agentsrevenue agents+5 | — | 10m 32s | |
| 4/17/26 | ![]() These AI Marketing Skills Repo Will Change Your Business (1.8K Stars)✨ | AI marketingautomation+4 | — | ClaudeGitHub+2 | — | AI marketingClaude skills+5 | — | 10m 42s | |
| 4/13/26 | ![]() If You Don’t Understand Agents, You Don’t Understand AI✨ | AIautonomous agents+4 | — | Single GrainBeehiiv+1 | — | AI agentsbusiness automation+3 | — | 7m 15s | |
| 4/9/26 | ![]() Getting Customers with AI Just Got Unfair✨ | AI in businessB2B marketing+3 | — | HubSpotRB2B+1 | — | AIB2B visitor ID+3 | — | 11m 40s | |
| 4/7/26 | ![]() I Took The Risk.. And It Paid Out (Literally)✨ | AI agentsbusiness automation+4 | — | NemoClawOpenClaw | — | AI agentsbusiness+5 | — | 11m 29s | |
| 4/2/26 | ![]() Your Competitors Are 100xing With This AI✨ | AIcompetitors+3 | — | Single GrainAd Agency+2 | — | AIbusiness growth+3 | — | 6m 43s | |
| 3/30/26 | ![]() OpenClaw vs Perplexity: Don’t Make the Wrong Bet✨ | LinkedIn adslanding pages+3 | — | OpenClawPerplexity+1 | — | OpenClawPerplexity+5 | Karrot | 8m 57s | |
| 3/26/26 | ![]() I Spent $1,200,000 on AI. These Are The Tools I'm Keeping✨ | AI toolsLinkedIn ads+3 | — | — | — | AI stackpersonalized ads+3 | karrot.ai | 8m 57s | |
| 3/9/26 | ![]() I Turned OpenClaw Into The Ultimate Employee | Most people use OpenClaw like a personal assistant. I use it like an employee. In this video I walk through the exact systems I built so OpenClaw can create content, monitor YouTube performance, find sales opportunities, and even interact with my team inside Slack. This setup has already generated meetings, viral content, and real opportunities for my business. I’ll break down the workflows behind it and how you can build something similar yourself. | 15m 19s | ||||||
| 3/2/26 | ![]() If I Wanted to Rank #1 on SEO in 2026, I'd Do This | 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe If I had to start SEO from scratch in 2026, this is exactly what I’d do. Traditional Google SEO isn’t dead but it’s no longer enough. You have to win across Google, YouTube, Reddit, LinkedIn, and AI search like ChatGPT and Perplexity at the same time. In this video, I break down the five shifts that matter now. Search everywhere optimization. Freshness and content velocity. AI workflows that 10x output with humans in the loop. And how to actually measure success when AI mentions matter as much as rankings. If you’re still playing the 2020 SEO playbook, you’re already behind. Chapters 00:00 The 5 things you must get right in 2026 01:31 Traditional SEO plus AI SEO 02:09 Search everywhere optimization 07:19 The content freshness system 09:25 AI workflows with humans in the loop 12:38 Playing the long game and new metrics How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com | 15m 31s | ||||||
| 2/26/26 | ![]() My OpenClaw Writes X Articles That Get 85,342 Views On Average (Mine Got 358 | 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe My OpenClaw setup writes X articles that average 85,000 views. Before this, my posts were getting a few hundred, maybe 6,000 views if I was lucky. Now four in a row have cleared 69k to 102k views and they’re driving real engagement, subscribers, and inbound. In this video, I show you the receipts. The posts I wrote myself. The ones OpenClaw wrote. What changed. How I structure the hooks. How I use diagrams. How I repurpose across LinkedIn and YouTube. And exactly how you can set this up yourself. This isn’t about vanity impressions. It’s about distribution that compounds and turns into revenue. Chapters 00:00 85k views per X article 00:42 The proof and before vs after results 01:30 Breaking down a viral OpenClaw post 04:22 When a post bombs and how to fix it 05:45 How I generate and repurpose articles 10:36 Compounding distribution into revenue How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com | 13m 23s | ||||||
| 2/23/26 | ![]() OpenClaw Infinite Money Glitch: 7 Use Cases Exposed | 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe OpenClaw might be the closest thing I’ve seen to an infinite money glitch for business. In this video, I break down the real revenue use cases inside my company. Reviving dead deals with deep CRM context. Booking meetings with companies like Google. Writing X articles that consistently pull 50k to 100k views. Generating YouTube ideas based on what’s actually working. Acting as a business strategist on hardware, compliance, and growth decisions. Running SEO audits that surface millions of wasted impressions. Even sourcing senior hires. This isn’t theory. These agents are plugged into my CRM, Gong calls, Slack, Telegram, and website right now. If you’re thinking about AI as a toy, you’re missing the point. Chapters 00:00 The OpenClaw infinite money glitch 00:36 Deal resurrector and pipeline revival 03:26 AI-written X articles driving distribution 05:33 YouTube strategy and revenue positioning 08:25 Business strategist and event planning 13:32 Agent round table and mission control 17:06 Recruiting and SEO automation How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com | 20m 31s | ||||||
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