Greg Isenberg

Greg Isenberg

US
@gregisenberg
Science & Technology
761
Video Count
28.8M
Video View
587.0K
Subscriber
#15,664
United States Rank
#70,813
Global Rank
Greg Isenberg YouTube channel subscribers:587,000- Seelive statisticsand growth insights below.

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
82%
102 videos
ShortsShorts
18%
23 videos

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

Content Categories

Primary CategoryScience & Technology
59%
Science & Technology
74(59%)
People & Blogs
51(41%)

🎯 Primary focus: Science & Technology with 74 videos (59% of categorized content).

Latest Video

Long video
Making $$$ with Loop Engineering
39:44
New

Making $$$ with Loop Engineering

15.6K
Views
536
Likes
1 day ago
Published

I sit down with Elie Steinbock to unpack loop engineering and how to run a business on loops. We start with the roots of the idea in the lean startup and Toyota's manufacturing, then move into practical, copy-ready workflows for SEO, Facebook ads, and product feedback. Elie walks through a live Google Search Console example on Draft Fantasy and shows how to set up an SEO loop that runs once a month for years. The core promise for listeners: hand repeatable business work to an AI agent that measures an objective metric and improves over time. By the end, you know how loops work and how to launch your first one today. Timestamps 00:00 – Intro and episode promise 02:54 – What is Loop Engineering 06:51 – Loops with AI agents: build and verify 11:17 – Example of Loop: SEO as an objective-metric loop 15:29 – Setting up the SEO loop and tools 25:27 – Cost and token economics 29:05 – The Paid ads loop 33:10 – The product feedback loop 36:25 – A minimal viable loop for every channel 39:21 – Closing Thoughts Key Points * Loop engineering means giving an agent a task, an objective metric, and a stop condition so it improves on a schedule. * The lean startup and Toyota's build-measure-learn cycle map directly onto AI agents. * An SEO loop connects to Google Search Console and Data for SEO, then pushes rankings up month over month. * These loops run cheaply — often a few dollars per monthly run — which beats the cost of an agency. * The same pattern extends to Facebook ads, and a product feedback loop stands as the ultimate version. * Start small with a minimal viable loop tied to a clear metric like impressions or ten likes. Numbered Section Summaries * The Promise of Running a Business on Loops I open by asking Elie what listeners will walk away with, and he frames the whole episode: use loops to automate SEO, ads, and more. We agree the aim is clear, copyable workflows people can launch today. * Where Loop Engineering Comes From Elie traces the recent buzz to Boris from Claude Code and Peter Steinberger, plus a joking tweet from his friend Dimitro about software that builds itself. He grounds it in the lean startup's build-measure-learn cycle, which itself grew from Toyota's lean manufacturing. * Loops With AI Agents: Build and Verify Elie explains the agent version: a build step paired with a verify step and a clear stop condition. He uses Inbox Zero's evals as an example, where the agent keeps adjusting the prompt or model until accuracy passes 90%. * The SEO Loop We dig into SEO as the flagship example, where Google ranking serves as a clean, objective metric. Elie describes a loop that runs once a month, learns from the last run via a markdown memory file, and steadily climbs the rankings. * Setting It Up on Real Data Elie shows his Draft Fantasy Search Console, connects the agent to Google Search Console and Data for SEO, and runs the loop live in Codex. He shares the Atom Eve prompt as a deeper template people can copy. * Cost and Token Economics I raise Ross Mike's skepticism about loop buzz and token spend, and Elie makes the case that an SEO loop stays cheap — often under five dollars per monthly run. He adds that Max-plan users have plenty of headroom, while tight budgets suit cheaper open models like GLM 5.2. * Ads, Product Feedback, and the Ultimate Loop We move to a Facebook ads loop that tests copy and creative variants, favoring a mix of human hooks and AI optimization. Then Elie describes the product feedback loop — reading customer feedback, analytics, and logs to prioritize and ship — as the closest thing to a business that builds itself. * Starting Small We close on the minimal viable loop: begin with one channel and a modest, verifiable metric like impressions or ten likes, then let it compound. Elie and I agree that every part of a business could sit on a loop, and starting one today makes for a low-risk experiment. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/ 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/ FIND ELIE ON SOCIAL Youtube: https://www.youtube.com/elie2222 X/Twitter: https://x.com/elie2222

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Compara este canal con los principales creadores de Ciencia y Tecnología en Estados Unidos.

Ranking: Estados UnidosCategoría: Ciencia y TecnologíaEnfoque de Categoría: 59%
Abrir Ranking

Greg Isenberg Channel Snapshot

Score: 5.8/10

A high-level snapshot of content cadence, library size, and consistency derived from this channel's recent uploads.

Overall Score
5.8
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

6.6/10

Library of 50 videos with ~49.4K avg views per upload. Combined size + reach signal suggests steady building.

Audience Engagement

6.4/10

Avg engagement rate of 3.85% (likes + comments / views) across 49 videos. Healthy — at or above the ~3% baseline.

Niche Specialization

4.5/10

48% of recent videos cluster in Technology. Generalist mix — niche consolidation often unlocks growth at this stage.

Suggested Actions

Recommendations grouped by typical impact for channels at this stage

  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: 07:28 AM