Common investment 'rules of thumb,' like avoiding tools businesses, are often based on outdated pattern matching and can cause VCs to miss generational companies like Canva. Instead of relying on these heuristics, investors should use first-principles thinking to analyze why a product truly needs to exist, conducting their own research to find the underlying truth.

Relying on previously successful solutions without deeply analyzing the new problem's context is a cognitive trap. Ron Johnson's attempt to apply Apple's retail strategy to JCPenney failed because he overlooked fundamental differences in their customer bases, demonstrating the danger of surface-level analogical reasoning.

Regularly re-evaluate your investment theses. Stubbornly holding onto an initial belief despite new, contradictory information can lead to significant losses. This framework encourages adaptation by forcing you to re-earn your conviction at regular intervals, preventing belief calcification.

Every new investor brings a unique 'superpower' from their past experience. The key is to lean on that strength while consciously avoiding the assumption that it translates to all areas of investing. Success requires augmenting inevitable blind spots with partners or an external network.

Most good investors succeed by recognizing patterns (e.g., "SaaS for X"). However, the truly exceptional investors analyze businesses from first principles, understanding their deep, fundamental merits. This allows them to spot outlier opportunities that don't fit any existing mold, which is where the greatest returns are found.

While many investors try to model the market as a predictable, left-brain machine, it's actually a complex, emergent system. This suggests success comes from right-brain pattern recognition and humility—tending a "business garden"—rather than precise, reductionist forecasting.

Instead of viewing each challenge as unique, categorize it as a type of problem that has occurred many times before. By identifying which 'species' of problem you're facing, you can apply a pre-established principle for handling it. This mental model simplifies decision-making and leverages historical precedent for more effective solutions.

Leaders who were correct once in a specific area, like mobile UX in 2015, tend to believe their expertise is universally applicable. This cognitive trap leads them to make poor, unsubstantiated decisions in new domains like AI strategy.

An investor's lived experience can be a poor guide to long-term market realities. For example, someone who started their career after 2009 has only known a US stock market that consistently rewards dip-buying, a pattern not representative of broader history.