Learning Velocity

What has helped me learn faster and remember more. Still evolving.

Intro

There’s a version of learning that feels productive but goes nowhere. You read, you nod, you feel informed - and then nothing changes. I’ve done a lot of that. At some point I started asking a different question before engaging with anything: will this help me take the next step? Not eventually. Now. This piece is about what happened when I started organizing everything around that question.

Will it unlock the next piece of my roadmap - giving me the direction and clarity to take the next measurable step towards my goal?

Intake

What follows is an actual system - something I run deliberately, track, and keep returning to. This is what’s been working.

All intake flows through three pillars:

  1. Trusted voices - I look for people whose ideas have been applied, tested, and shaped into actionable, repeatable processes or decision-making frameworks. Repeated success in a specific domain is a proxy for quality and a way to filter out hindsight bias. Rehearsed narrative arcs built around something that worked once or in a narrow context are often audience engagement-optimized content.

  2. Basics - Mapping out fundamentals reduces time spent re-learning, clarifies trade-offs, and improves pattern recognition. I’ve never met anyone who regretted spending too much time mastering relevant fundamentals. Basics often have the biggest clarity gain, and once you lock them in, they keep paying off for a long time. Counterintuitive, especially when you feel the urge to dive into news and specifics. Boring, extremely effective, always a good investment.

  3. News & random signals - Social media, newsletters, blogs, podcasts, conversations. Useful for signals and timing cues. Can spark breakthroughs, provide exciting inertia and unexpected insights through chaotic exploration — new connections, analogies, perspectives. Never let it dominate your intake.

Process

I choose what to study based on three filters:

  1. Relevancy - Is this connected to something I’m actively working on or aiming for? > Prioritize current direction over multi-dimensional curiosity.

  2. Clarity Gain - Does this help me take the next step, solve a stuck problem, or understand what I’m still missing? > The sharper the need, the more focused the input. I try to prioritize what keeps me moving past obstacles and expands my next-step visibility. That means controlling the time I spend browsing. It’s useful and exciting, but at some point it becomes the opposite of going deep. What works for me is keeping it balanced: a mix of the so-called “deliberate practice” and deliberate browsing.

  3. Actionability - Can (and should) I apply this now? > Some information feels useful but subtly derails you. Distraction dressed as insight, inspiration that avoids friction, or clever takes that create the illusion of clarity.

If it doesn’t lead to action or make action easier, it’s entertainment, organized distraction, or simply avoidance.

Match

By this point, the information is already filtered - relevant, helpful, and actionable. It enables decision-making, unlocks the next step and provides clarity. The next piece of the map is revealed.

Whether it’s Paul Graham, Zuck, or Marc Andreessen, the message is consistent: learning velocity beats experience. High-agency builders and operators win by absorbing, adapting, and applying new information faster.

This reminded me of the “luck surface area” concept: what you do, multiplied by how well you communicate it (see the post by Jason Roberts).

This is not a perfect analogy, but I think there is similar logic at work in learning.

Learning is not just about how much information you absorb. Its value depends on whether it matches what you actually need and whether it turns into implementation. In that sense, effective learning has its own kind of surface area: the overlap between what you take in, what you apply, and what your current goals actually require.

A rough way to think about it is:

Effective Learning=What You Learn x What You ImplementXWhat You Need\begin{gathered} \text{Effective Learning} = \\[0.45em] \frac{\text{What You Learn} \ x \ \text{What You Implement}}{\vphantom{X}\text{What You Need}} \end{gathered}

Progress isn’t just a product of high-quality information, speed, or even willpower. It comes from matching - when what you learn directly maps to what you can act on, within the scope of what you need.

The point is to maintain the match.

A note on this framing

Obviously, the functional approach to learning described above is somewhat limiting. It frames “effective learning” in a productivity-oriented way around work, progress, building, and career development. But life is bigger than that, and learning can also just be fun. In that case, “effective” means something else entirely. If it’s done for pure enjoyment, the equation probably looks very different - or maybe it should not be part of the conversation at all. Sometimes the point is to maintain the match just have fun, or share interesting ideas with others!