hard tech

The talk describes a shift in YC startups toward hard tech, with growth in robotics, industrial manufacturing, defense, semiconductors, photonics, and power. Speakers attribute this to stronger technical founders, advances in AI-assisted research and coding, and renewed investor interest; they also share examples from space, defense, and compute infrastructure. On the software side, they argue that agents doing entire workflows can deliver more value than point solutions or systems that only track work, while data and reinforcement learning environments are becoming businesses in their own right. They also discuss the rise of solo founders and experienced founders, and advise builders to start experimenting with current AI models and coding agents.

Jared Friedman explains why hard tech and biotech companies face both market and technical risk, and why ambitious ideas can make recruiting, press, and fundraising easier even when building the product is difficult. He shares ways to demonstrate progress before a costly product is ready, including prototypes, simulations, small-scale experiments, presales, letters of intent, and customer contracts. He recommends proving demand and reducing technical risk as early as possible. He also advises founders to break a large fundraising goal into smaller rounds tied to concrete milestones.

Eric Migicovsky uses Pebble’s history to explain how hardware startups can learn quickly before committing to expensive production. He recommends small early tests, close customer contact, frugality, and flexible teams, while treating crowdfunding as either an early validation tool or a later sales channel. For hard tech, he emphasizes shortening iteration cycles, demonstrating customer demand alongside technical progress, and choosing a business model that fits the product. He also discusses practical ways to reduce risk from custom hardware, inventory, hiring, and fundraising.