Folgen

  • GitHub’s Trust Problem Just Got Worse

    GitHub’s Trust Problem Just Got Worse
    Apr 30 2026
    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!
    Mehr anzeigen Weniger anzeigen
    20 Min.
  • OpenAI Just Bought TBPN For $200M But Nobody Knows This

    OpenAI Just Bought TBPN For $200M But Nobody Knows This
    Apr 27 2026
    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 media strategy. They unpack the TBPN playbook, why OpenAI reportedly bought the company, how clipping is becoming a true moat, and what marketers can learn from the way modern content is being engineered to spread. Key takeaways ◾ Clipping is becoming a real growth strategy, not just repurposing. ◾ The best content is often designed for distribution from the start. ◾ More views do not matter if they come from the wrong audience. ◾ Platform-native packaging can change how content performs. ◾ Better guests create stronger viral moments. ◾ Marketing teams need to think more like media companies. Chapters 00:00 Birthday, summit, and the TBPN conversation 02:27 The TBPN clipping playbook 05:58 Why content should be engineered for clips 09:36 Where TBPN’s views are really coming from 12:45 Why guests change everything 15:37 How to manufacture better clip moments 17:44 Why a16z is winning more attention 19:56 The real lesson for marketers 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!
    Mehr anzeigen Weniger anzeigen
    21 Min.
  • We Did 320 Predictions, And The Results Just Came Back..

    We Did 320 Predictions, And The Results Just Came Back..
    Apr 20 2026
    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 works. They also get into why marketers need to stop protecting their opinions, how APIs can surface content opportunities faster, why speed now matters more than polish, and what today’s “AI-forward” operators are still getting wrong. Key takeaways ◾ AI is great at spotting patterns across large content datasets. ◾ The best marketers use data to challenge their assumptions, not defend them. ◾ Speed matters more than polish when you can launch, learn, and optimize fast. ◾ “Quick and decent” beats waiting weeks for something perfect. ◾ A rough-looking website can still convert if the offer is strong enough. ◾ Many “AI-forward” marketers still have very little real execution. Chapters (00:00) AI scores 320 predictions (03:02) Why APIs are so useful for marketers (06:04) What aggressive marketers can teach you (10:48) Why an “AI slop” website still converted (14:35) The real problem with “AI-forward” marketers (17:09) Why better marketers are worth paying for
    Mehr anzeigen Weniger anzeigen
    22 Min.