Life of leverage: what Eric Jorgenson gets right

We went through Eric Jorgenson's Life of Leverage course to pull out what actually applies to operators building inbound pipeline. The material extends Naval's four leverage types further than most summaries let on, and one framing in particular changes how you assess your own working hours.

The chainsaw problem

If you have 8 hours and an axe, you produce 8 hours of wood-chopping output. Give that person a chainsaw, and you get 80 hours of equivalent output. A tractor pushes that to 800. Five employees with tractors gets you to 4,000 hours of output while you sit elsewhere.

Most operators default to the familiar tool without checking whether a higher-leverage option exists.

What makes this framework useful is how it reframes the question you ask at the start of each day. The question stops being "what will I work on today?" and starts being "what tool am I using to do this work, and does the tool match the stakes of the task?"

The four types of leverage, extended

Naval's four types are the starting point. Jorgenson's course layers on how they compound and, more usefully, how to tell whether you're actually using any of them.

People. Ray Dalio reportedly runs a 50:1 labor ratio: for every hour he spends in a room with someone, they spend 50 hours executing. The question for operators isn't "do I have a team?" but "does my involvement in each project produce multiples of itself in output from others?"

Capital. Capital is leverage most founders think about in terms of funding. Jorgenson pushes it into everyday operations: return on owned assets, cost structure, income per hour not worked. Those last two metrics rarely appear on dashboards, but they track something real.

Code. The one type with zero marginal cost to replicate. Once built, software runs for free at any scale. Operators who aren't building or using software assets are competing at a structural disadvantage.

Media. The example that makes this concrete: a single tweet written over an afternoon in 2020 reached over a million impressions. On that same day, a college football stadium held 60,000 people. Nearly 20 stadiums worth of people had seen one piece of content produced once.

For operators building LinkedIn presence, media is the most accessible type and the one most people underuse. A well-placed comment in a high-traffic thread reaches the commenter's network, the post author's audience, and the thread itself for as long as it stays active. That's a single input with a long, non-linear tail.

How to tell if you're actually using leverage

Jorgenson offers seven diagnostic questions. We're pulling them here because they function as a quick audit for any operator:

• Can you quickly sort through options to find high-leverage solutions?
• Can you solve problems in permanent or semi-permanent ways, rather than fixing the same issue repeatedly?
• Can you instinctively ignore low-leverage opportunities without needing to reason through them?
• Are you confident that today's moves are part of a longer-term plan?
• Have you developed sensitivity to time-wasting, the kind that triggers a reflex rather than a judgment call?
• Can you deploy resources confidently?
• Have you redefined what success looks like for your specific situation?

These questions work because they locate leverage as a skill, not a circumstance. Most operators assume leverage is something you get when you're big enough to have a team or a large following. Jorgenson argues it's a capacity you build, and the questions tell you where your training gaps are.

The metrics that track leverage are similarly useful: percentage of your time spent on work only you can do, income per hour worked versus income per hour not worked, revenue per employee. If you have not checked those numbers recently, that's a signal in itself.

What this means for LinkedIn specifically

Most operators treat LinkedIn as linear: post, get views, repeat. The higher-leverage version is building a system where each input compounds: a comment that reaches the post author's 40,000 followers, not just your own 800 connections. A relationship built through consistent presence in the right threads produces referrals, inbound conversations, and introductions you didn't have to engineer separately.

The founders we work with who build inbound fastest are almost always the ones who have identified two or three high-traffic posts per week from the right creators and engage with genuine, specific responses. The engagement isn't the output; it's the tool. The output is visibility in front of the exact audience they're trying to reach.

For more on how this plays out in practice, the LinkedIn top creators patterns breakdown shows how sustained engagement compounds over a 13-week window, and the goal gradient hypothesis on LinkedIn piece explains why proximity to a visible outcome changes how audiences respond to you.

The metric most operators ignore

Jorgenson's metric list includes one that almost no operator tracks: income per hour not worked.

Income per hour not worked measures how much your systems are generating while you're doing something else. A course you built and sell asynchronously has a high value on this metric. A service business where you personally deliver every engagement has a value of zero.

For LinkedIn operators, this metric translates to a question about what your content and presence are doing while you sleep. If a post from three months ago is still pulling people into your profile, that's income-per-hour-not-worked in its LinkedIn form. If your only discovery mechanism is posting today and hoping today's algorithm serves it today, you're at zero.

The audits we run for founders regularly show that older posts, especially ones that sparked genuine comment threads, continue to generate profile visits long after the initial distribution window. Operators who know this build for it deliberately. Operators who don't are getting one-time returns on assets that could keep working.

The $300 question

A $300 input that restructures how you think about your working hours has an ROI that is genuinely hard to calculate.