For projects requiring hundreds of millions, fundraising should be split into phases. The initial "pre-industrialization" phase, focused on proving technology, is suited for venture capital. Later phases for manufacturing and scaling should target project finance structures with debt/equity combinations and strategic partners.

Contrary to popular belief, successful entrepreneurs are not reckless risk-takers. They are experts at systematically eliminating risk. They validate demand before building, structure deals to minimize capital outlay (e.g., leasing planes), and enter markets with weak competition. Their goal is to win with the least possible exposure.

Instead of defaulting to skepticism and looking for reasons why something won't work, the most productive starting point is to imagine how big and impactful a new idea could become. After exploring the optimistic case, you can then systematically address and mitigate the risks.

Luckey reveals that Anduril prioritized institutional engagement over engineering in its early days, initially hiring more lawyers and lobbyists. The biggest challenge wasn't building the technology, but convincing the Department of Defense and political stakeholders to believe in a new procurement model, proving that shaping the system is a prerequisite for success.

Founders can use AI pitch deck analyzers as a "sparring partner" to receive objective feedback and iteratively improve their narrative. This allows them to identify weaknesses and strengthen their pitch without burning valuable relationships with real VCs on a premature version.

Unlike SaaS startups focused on finding product-market fit (market risk), deep tech ventures tackle immense technical challenges. If they succeed, they enter massive, pre-existing trillion-dollar markets like energy or shipping where demand is virtually guaranteed, eliminating market risk entirely.

To de-risk their unconventional idea, Liquid Death created a fake ad and a Facebook page to test market reception. They secured millions of views and 80,000 followers, proving demand and generating traction that was crucial for raising capital, turning a concept into an investable business.

Moving from a science-focused research phase to building physical technology demonstrators is critical. The sooner a deep tech company does this, the faster it uncovers new real-world challenges, creates tangible proof for investors and customers, and fosters a culture of building, not just researching.

Crisp.ai's founder advocates for selling a product before it's built. His team secured over $100,000 from 30 customers using only a Figma sketch. This approach provides the strongest form of market validation, proving customer demand and significantly strengthening a startup's position when fundraising with VCs.