The 'classic' VC model hunts for unproven talent in niche areas. The now-dominant 'super compounder' model argues the biggest market inefficiency is underestimating the best companies. This justifies investing in obvious winners at any price, believing that outlier returns will cover the high entry cost.

Traditional valuation models assume growth decays over time. However, when a company at scale, like Databricks, begins to reaccelerate, it defies these models. This rare phenomenon signals an expanding market or competitive advantage, justifying massive valuation premiums that seem disconnected from public comps.

Compounding has positive asymmetry. A stock can only lose 100%, but it can gain multiples of that. This means a portfolio with one stock compounding at +26% and another at -26% doesn't break even over time; the winner's gains eventually dwarf the loser's total loss, leading to strong positive returns.

Some companies execute a 3-5 year plan and then revert to average returns. Others 'win by winning'—their success creates new opportunities and network effects, turning them into decade-long compounders that investors often sell too early.

Palantir commands a massive valuation premium because it is both well-run and unique, with no clear alternatives. This lack of competition dramatically reduces churn risk and increases the durability of future cash flows, justifying a higher multiple than other software companies that operate in more crowded markets.

The asymmetrical nature of stock returns, driven by power laws, means a handful of massive winners can more than compensate for numerous losers, even if half your investments fail. This is due to convex compounding, where upside is unlimited but downside is capped at 100%.

Companies like Tesla and Oracle achieve massive valuations not through profits, but by capturing the dominant market story, such as becoming an "AI company." Investors should analyze a company's ability to create and own the next compelling narrative.

Applying industry-average growth rates to an emerging category leader is a critical mistake. A business like Shopify, with a powerful flywheel and network effects, is a power law winner that defies regression to the mean of its stagnant competitors. Its performance is simply not comparable.

Financial models struggle to project sustained high growth rates (>30% YoY). Analysts naturally revert to the mean, causing them to undervalue companies that defy this and maintain high growth for years, creating an opportunity for investors who spot this persistence.