Ideas worth stealing
from books & podcasts

Sometimes, the most valuable insights cannot be modelled in advance. DoorDash discovered suburbs beat cities for delivery density only by trying both. Go out, experiment and earn the insights.

The data you can see, you act on. The data you cannot see is what kills the business. Know what information you have and actively design ways to collect what you do not.

Anecdotes clash with averages because they sit at the edges. But the edges are where the next product ideas live. DoorDash moved from food delivery into helping restaurants acquire customers and manage stock by listening to the outliers, not the median.

Easy capital turns entrepreneurship into a career option. When money tightens and starting a company stops looking like a safe bet, the opportunistic founders leave. The ones who remain were going to build something regardless.

A company founded at the bottom matures just as conditions improve. The macro becomes an ally, and the hardest early problems, finding customers and finding people, get easier as sentiment recovers.

Private cap tables are built to go up. In a downturn, anti-dilution provisions activate, dirty term sheets preserve headline valuations while shifting actual risk onto founders and employees. The structure breaks at the worst moment.

The process hasn't been updated in 40 years not because it works, but because the parties who benefit most from it are the ones running it. Spotify's Barry McCarthy saw it. Almost no one else pushed back.

Founders do this once if they're lucky, so defer to the people who've done it a hundred times. That deference is not a bug in the system, it is what the system runs on.

Banks celebrate oversubscription as demand management skill. It is a euphemism for ignoring 90% of real demand to keep the price artificially low and guarantee a day one pop.

Plot value to the customer against market penetration. The steepness of that line tells you more than any claim about having a network effect. Most founders treat it as binary, you either have one or you don't. This is the wrong way to look at it as not all network effects are created equally. The more useful question is how steep the curve is, and where it starts to flatten.

Glassdoor's founders interviewed people outside Cisco with a notepad. Yelp's CEO went to nightclubs in t-shirts. The unscalable activity is not a phase to be embarrassed about, sometimes it's the only way to build a seed state strong enough to make the network tip.

Strong unit economics in one city beat mediocre metrics across ten. The venture dollars exist to fund expansion once the flywheel is spinning, not to create the impression that it is.

The real advantage is agglomeration: every supplier within 200 miles, same day meetings, a thousand skilled workers available tomorrow. That kind of supply chain density cannot be replicated elsewhere by policy alone.

China identified that it would never catch up on combustion engines and made a strategic decision to skip the generation. It recognised that they were structurally behind, so decided to redirect efforts to the next platform.

Provincial heads are appointed and evaluated on employment and GDP growth. They back local champions in strategic industries with subsidies. The result is fierce domestic competition, significant overcapacity, and companies that are rarely profitable, a dynamic the Chinese call involution. China is now running an active anti-involution campaign: setting production caps, introducing pricing floors, and encouraging mergers to consolidate weaker players. The goal is globally competitive players.

Whether you name it or not, there is always one most important thing. Choosing not to admit it doesn't make it untrue. Pretending otherwise just means ignoring reality, and asking everyone around you to do the same.

The litmus test for whether you're truly keeping the main thing the main thing is ongoing discomfort. If narrowing down has stopped feeling uncomfortable, you've probably drifted. The pain is the signal, not a one-time cost.

When the main thing isn't singular, teams default to motion. They value doing things over making progress on the one thing that actually matters.

Public markets haven't got more competitive across the board. They've got more competitive in the short term and less competitive over longer horizons. As quants and multi-managers hoover up every short-term signal, fundamental long-horizon analysis has become less crowded. There's lots of people playing different games in the public markets, creating opportunity.

Private markets have fewer eyes on any given situation, but the limiting factor isn't intelligence as most people are doing similar analysis. The best companies choose their investors.

Transformative technologies don't automatically produce good businesses. Air travel changed the world and airlines destroyed capital. The question for LLMs isn't whether the technology matters, it's whether the economics work at the model layer.