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Greg Isenberg

Greg Isenberg

US
@gregisenberg
761
Video Count
28.8M
Video View
587.0K
Subscriber
#15,662
United States Rank
#70,807
Global Rank
761
Video Count
28.8M
Video View
587.0K
Subscriber
#15,662
United States Rank
#70,807
Global Rank
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Greg Isenberg YouTube channel subscribers:587,000- Seelive statisticsand growth insights below.
OverviewVideosOutliersStatisticsSimilar ChannelsTimelineRetention AnalyticsAbout

Greg Isenberg YouTube Statistics & Analytics

Subscribers
587.0K
Total Views
28.8M
Videos
761
Activity
Unknown

Greg Isenberg Content Analysis

Content Type Distribution

Long videosLong
83%
74 videos
ShortsShorts
17%
15 videos

📽️ This channel specializes in long-form videos. Deep dives and comprehensive content perform well here.

Content Categories

Primary CategoryScience & Technology
51%
Science & Technology
45(51%)
People & Blogs
44(49%)

🎯 Primary focus: Science & Technology with 45 videos (51% of categorized content).

Greg Isenberg AI Channel Analysis

Gemini ProScore: 7.2/10

AI-powered insights analyzing content strategy, audience engagement, and growth potential.

Overall Score
7.2
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

7.5/10

Good content foundation. Increasing upload frequency could boost growth.

Audience Engagement

7.2/10

Moderate engagement levels. Focus on community interaction could improve metrics.

Content Strategy

7/10

Developing content strategy. Consider focusing on specific niches for better targeting.

AI Recommendations

Auto-prioritized by predicted impact

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Latest Video

Long video
23 AI Trends keeping me up at night
31:37

23 AI Trends keeping me up at night

17.7K
Views
722
Likes
1 week ago
Published

I go solo on this episode to walk through the full list of AI trends and opportunities keeping me up at night — literally. From the one-hour company stack to ambient businesses, vertical AI, the agent economy, and the real security threats I see coming, I cover what I believe is the most asymmetric window in startup history. I share the frameworks I use to think about what to build, what to avoid, and why acting now matters more than waiting for things to settle down. Timestamps 00:00 – Intro 01:09 – 1) The One-Hour Company Stack 02:09 – 2) Old vs. new startup timeline 03:58 – 3) Ambient businesses and autonomous companies 05:18 – 4) The agent economy timeline 07:17 – 5) Agent hiring Agents 08:01 – 6) The Vertical Agent Map 09:39 – 7) Vertical AI vs. Vertical SaaS 10:53 – 8) Boring goldmine verticals 11:40 – 9) SaaS Pricing Evolution 13:26 – 10) Seat-Based vs Outcome-Based 14:51 – 11) The SaaS graveyard 16:04 – 12) The scarcity flip 17:03 – 13) The Premium Stack 18:21 – 14) The experience economy boom 18:59 – 15) Founder-agent fit 20:32 – 16) Ghost team org chart 21:56 – 17) The micro monopoly math 24:00 – 18) Agent attack surface 25:19 – 19) Agent Injection vs Phishing 26:34 – 20) Agent permission stack 27:37 – 21) The closing window 28:46 – 22) why this window is asymmetric 29:34 – 23) Building in public 30:50 – Final Thoughts Key Points * I can build, launch, and get a first customer in under an hour using today's agent engineering tools and a pre-existing audience. * Vertical AI taps directly into labor P&L — it replaces headcount, not just software licenses — making the TAM 10x larger than vertical SaaS. * Ambient businesses running on near-zero daily human input are early but real; the arrow of progress points here. * The value shift I see coming: execution gets commoditized, judgment and physical presence become premium. * The 100 true fans model now applies in the AI age; with agents cutting costs, 100 paying customers at $500–$1,000 a month builds a real business. Numbered Section Summaries 1. The One-Hour Company Stack I walk through how grabbing a validated idea from a tool like IdeaBrowser, vibe coding an MVP, adding Stripe, and reaching first customers now fits inside a single morning. The old 12-month runway to first revenue is gone. The constraint today is distribution, not development — which is why I keep emphasizing building an audience before you need it. 2. Ambient and Autonomous Businesses I introduce the concept of ambient businesses — operations that run with zero or very low daily human input, where agents monitor markets, identify opportunities, handle customer service, and execute. I believe these businesses will reach seven and eight figures. Most autonomous builder software today produces AI slop, but the direction is clear and the opportunity is real. 3. The Agent Economy Timeline I map three distinct eras: the App Store era (2009–2015), the API economy (2015–2024), and the agent economy I see running from 2025 to 2030. In this era, agents discover and hire other agents on the fly. I flag a startup idea I can't stop thinking about: a Glassdoor for AI agents, a reputation layer for an agent marketplace. Gartner puts 20% of commerce as machine-to-machine by 2030. 4. Founder-Agent Fit and the Ghost Team Founder-market fit is being replaced by founder-agent fit — the ability to orchestrate a fleet of agents toward a goal, the way a film director gets performances out of actors. I describe the ghost team org chart: a two-person company with a full suite of named AI agents running sales, content, and support. As a person building a holding company, I think this model makes owning multiple AI-native businesses in adjacent niches very achievable. 5. Micro Monopoly Math and the 100 True Fans Update Kevin Kelly's thousand true fans model shrinks to 100 in the AI age because agents cut operating costs so dramatically. I run the math: a 5,000-person niche audience, a custom app built in 48 hours, 100 customers at $50/month equals roughly $60,000 in profit for one person. Stack several of these and you have a holding company. The bottleneck is distribution, which is why building media and understanding paid acquisition matters. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/ If you want more workflows and tactics to build a business with AI, check out this free workshop: https://www.ideabrowser.com/workshop/ LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

startup ideas sip entrepreneur podcast

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#3
Claude Code + Obsidian in under 1 minute

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I fixed OpenClaw so it actually works (full setup)

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Greg Isenberg AI Channel Analysis

Gemini ProScore: 7.2/10

AI-powered insights analyzing content strategy, audience engagement, and growth potential.

Overall Score
7.2
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

7.5/10

Good content foundation. Increasing upload frequency could boost growth.

Audience Engagement

7.2/10

Moderate engagement levels. Focus on community interaction could improve metrics.

Content Strategy

7/10

Developing content strategy. Consider focusing on specific niches for better targeting.

AI Recommendations

Auto-prioritized by predicted impact

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Frequently Asked Questions About Greg Isenberg

Data Source & Accuracy

Source: YouTube Data API v3
Accuracy: Real-time statistics from official YouTube API
Data is updated hourly and sourced directly from official APIs to ensure accuracy and reliability.

Data from YouTube Data API v3 • Updated hourly • Last updated: 03:10 PM