The best business opportunities often appear foolish to the majority at first. If an idea sounds good to everyone, it's likely a competitive space. Starting a print magazine in 2024 sounds dumb, but the underlying desire for high-quality, scarce content makes it a powerful, contrarian bet.

During a fundamental technology shift like the current AI wave, traditional market size analysis is pointless because new markets and behaviors are being created. Investors should de-emphasize TAM and instead bet on founders who have a clear, convicted vision for how the world will change.

In an era of infinite replicability, startups have two viable paths. They can either operate in stealth with a non-obvious, defensible insight ('a secret incantation'), or tackle an obvious problem and win by completely owning the public narrative. The middle ground is no longer viable.

In a crowded market, the most critical question for a founder is not "what's the idea?" but "why am I so lucky to have this insight?" You must identify your unique advantage—your "alpha"—that allows you to see something others don't. Without this, you're just another smart person trying things.

The most significant companies are often founded long before their sector becomes a "hot" investment theme. For example, OpenAI was founded in 2015, years before AI became a dominant VC trend. Early-stage investors should actively resist popular memes and cycles, as they are typically trailing indicators of innovation.

To identify non-consensus ideas, analyze the founder's motivation. A founder with a deep, personal reason for starting their company is more likely on a unique path. Conversely, founders who "whiteboarded" their way to an idea are often chasing mimetic, competitive trends.

Analysis shows that the themes venture capitalists and media hype in any given year are significantly delayed. Breakout companies like OpenAI were founded years before their sector became a dominant trend, suggesting that investing in the current "hot" theme is a strategy for being late.

PointOne's founders filtered ideas by asking "Why now?" The advent of large language models provided a clear technological shift that made automated timekeeping possible, explaining why it hadn't been solved before. This dramatically increases the odds of a startup succeeding.

Pursuing a genuinely non-obvious idea feels risky, not just uncertain. This feeling of danger—the fear of wasting years on a potential failure—is often a signal that you're working on something truly contrarian and valuable, as it deters others.