GitHub’s Trust Problem Just Got Worse

GitHub’s Trust Problem Just Got Worse

Eric and Neil break down the fake GitHub star economy, why startup credibility signals are easier to manipulate than most people realize, and what that means for trust online. They also get into employee-generated content, the marketing channels they would bet on if they were starting over today, and why they are still doubling down on SEO even as the game shifts away from clicks and toward revenue, visibility, and AI-driven search. Key takeaways ◾ GitHub stars and other online trust signals can be manipulated, which makes surface-level credibility much less reliable. ◾ Employee-generated content is becoming a bigger growth lever for companies that want more distribution. ◾ If they were starting over, Eric and Neil would still bet on channels like podcast clips, email, AEO, X, SMS, and LinkedIn. ◾ SEO is not dead, but the old way of measuring it is. ◾ The real focus now is revenue, conversions, and visibility across search engines and AI surfaces, not just clicks. Chapters 00:00 The fake GitHub star economy 03:10 Why fake traction can fool people 08:26 The rise of employee-generated content 12:30 The 7 marketing channels they’d bet on today 18:18 SEO is dead again… so why are they doubling down? 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who actually test what they teach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of NP Digital and one of the most recognized marketers in the world. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ClickFlow: https://www.clickflow.com/ ✅ Subscribe for Daily Marketing Insights!

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MrBeast's New Flywheel Is INSANE

MrBeast's New Flywheel Is INSANE

Eric and Neil break down the new media flywheel, why clips, live shows, and community now work together, and why entrepreneurs need to think more like media companies. Key takeaways ◾ The stronges...

30 Apr 20min

This New Marketing Strategy Is INSANE

This New Marketing Strategy Is INSANE

Eric and Neil break down why clips are becoming more valuable than the actual show, and why the real shift in media has less to do with long-form content and more to do with packaging, distribution, a...

28 Apr 20min

OpenAI Just Bought TBPN For $200M But Nobody Knows This

OpenAI Just Bought TBPN For $200M But Nobody Knows This

Eric and Neil break down why marketing feels different now, and why the real shift may have less to do with long-form content and more to do with clips, packaging, distribution, and platform-native me...

27 Apr 22min

This Pool Builder Uses AI To Actually Close Deals (Whilst Sleeping)

This Pool Builder Uses AI To Actually Close Deals (Whilst Sleeping)

Eric and Neil break down a genius AI prospecting system a pool builder is using to target high-value homes, render custom backyard pools, and mail personalized postcards on autopilot. They also unpack...

23 Apr 15min

Anthropic's New MOAT Is Insane

Anthropic's New MOAT Is Insane

Eric and Neil break down why Anthropic’s next big moat may have nothing to do with raw model intelligence and everything to do with permission, governance, and trust inside enterprise systems. They al...

22 Apr 23min

Uber Just Exposed AI’s Biggest Cost Problem

Uber Just Exposed AI’s Biggest Cost Problem

Eric and Neil break down why Uber’s AI spend is skyrocketing, what it means when tools like Claude Code become too useful to cut back, and why token costs may become the next big enterprise bottleneck...

21 Apr 25min

We Did 320 Predictions, And The Results Just Came Back..

We Did 320 Predictions, And The Results Just Came Back..

Eric and Neil break down how they used AI and the YouTube API to analyze 320 episodes worth of predictions, score who was more accurate over time, and uncover the deeper pattern behind why the podcast...

20 Apr 23min

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