Decision Making

Evaluate startup/product ideas across Potential, Probability, Passion, and Prowess

Imagine 10X scale to force first-principles thinking and break through incremental constraints

More AI autonomy means less human control—earn trust before increasing agency

Measure AI capability by how long you can let it work autonomously before intervention

Why AI-generated content fails—and what happens when AI trains on its own output

Stand in the future and look back—don't stand in the present and project forward

Study past decisions and their context to make better decisions going forward

Your brain sorts ideas into four buckets based on evidence and experience—understanding your thresholds unlocks better strategy work

A business creates leverage and freedom; a job trades time for money regardless of what you call it

Always distinguish between business problems and customer problems before solving

Pick the harder option because you learn more even if you fail

A structured method for gathering contextual advice from multiple trusted sources

HubSpot's friendlier version of Amazon's 'disagree and commit'

First determine how important a decision is, then allocate your time accordingly

Turn emotions into equations to make intangible feelings tangible and manageable

Assume all knowledge could be incorrect and rebuild understanding from first principles

When debating between perfection and speed, speed wins

Assess decisions by asking whether failure would generate unwanted press coverage

Find markets with opportunity but little competition, not where everyone is fishing

Invest in founders who authentically live the problem, not in markets or ideas

Down-select from opportunity areas by scoring on impact, certainty, clarity of levers, and differentiation

Don't trust news about topics you don't know any more than news about topics you do know

Evaluate decisions and experiments through cognitive, emotional, and somatic filters

Deciding when to leave a good position to pursue a potentially better but uncertain one

Define what algorithms optimize vs. what humans decide—then design the interface between them

Your worst behavior emerges when a core part of how you see yourself is in question

Warren Buffett's framework for distinguishing internal fulfillment from external validation

Focus on controllable inputs that drive customer value; outputs will follow

Intuition generates hypotheses to debate, test, and winnow—not final answers

Respond to challenging situations with curiosity rather than judgment for better decisions

Find what really matters amid competing signals, inputs, and good ideas

Pre-commit to specific signals and actions that trigger quitting before you're emotionally invested

Commit at 70% confidence because you learn more after deciding than before

Project yourself into the future to escape the emotional intensity of the present moment

'Not now' is just another way of saying 'I'm not going to do it'

Before jumping to systems, understand the problem and the people involved

Before optimizing or building, ask whether the underlying premise is even correct

Assess decisions by magnitude and reversibility—most feel high-stakes but aren't

Add constraints to vague goals to make them concrete and actionable

Success and failure are both the compound result of many small decisions, not one big moment

There's no such thing as a long feedback loop—find intermediate signals correlated with success

In early stages, qualitative signals matter more than optimizing metrics with small numbers

Don't solve every problem with your strongest skill

Start with your best hypothesis, then refine through feedback—don't wait for perfect information

Startup ideas that seem good, get validation, but trap founders because they never work

Competing with a 'better' product in an existing category almost never works

Don't decide until you have to—preserve optionality by resisting premature judgment

Make implicit intuitions explicit so you can examine, discuss, and improve them

Always explore three meaningfully different options before committing to one

When you run out of ideas for how to make it grow, it's time to pivot

Reframe your job around impact, not comfort or preference

Everything you want is on the other side of worse first

What you optimize for defines you—choose rich, complex objectives over easy-to-measure proxies