Instead of pursuing high-impact but low-margin commodities like biofuels, new biotech platforms should first target high-priced niche markets like cosmetics. This strategy generates revenue faster with "good enough" technology, funding the R&D required to eventually compete in cost-sensitive commodity markets.

EG427 began by focusing narrowly on neurogenic bladder in spinal cord injury patients. This specific application proved the technology's potential, attracted investors, and enabled the company to later expand its pinpoint DNA medicine into a broader platform for neurological diseases.

Unlike ventures in established biological pathways, startups tackling novel biology must first prove a specific drug product can work. The primary question isn't about the platform's potential applications but whether a single, tangible therapeutic is viable. Focusing on a broad platform too early is a mistake.

Startups like NextVisit AI, a note-taker for psychiatry, win by focusing on a narrow vertical and achieving near-perfect accuracy. Unlike general-purpose AI where errors are tolerated, high-stakes fields demand flawless execution. This laser focus on one small, profound idea allows them to build an indispensable product before expanding.

Large enterprises don't buy point solutions; they invest in a long-term platform vision. To succeed, build an extensible platform from day one, but lead with a specific, high-value use case as the entry point. This foundational architecture cannot be retrofitted later.

For a platform company with wide-ranging technology, the key early struggle is focusing. It is critical to prioritize a single program to generate near-term data and change the cost of capital before realizing the platform's full potential.

When building a marketplace to help developers, instead of targeting all tools at once, launch by focusing on a single, specific platform (e.g., "V0 bounties" or "Cursor help"). This hyper-niche approach allows you to build liquidity and validate the model before expanding to a wider market.

A horizontal platform that does everything can struggle with messaging. To solve this, "productize" the platform by identifying top use cases and creating dedicated bills of materials (decks, demos, content) to architect targeted demand generation campaigns for each.

Kernel's product strategy is to go deeper into company data challenges (e.g., complex APAC or government hierarchies) before going broader. This 'earn the right' approach builds customer trust by solving the core problem exceptionally well, creating pull for future product expansions rather than pushing a bloated, mediocre feature set.