Contrary to fears of a "circular economy," YC founder Paul Graham advises that selling to other startups is optimal. They are smarter, less bureaucratic, and more representative of future trends. A product that succeeds with this discerning group is well-positioned for broader market success.
The founder of robotics OS Lightberry argues that the industry's "ChatGPT moment" won't be when a robot can fold laundry. Instead, it will be when robots are commonly seen interacting with people in public roles—as shop assistants, event staff, or security—achieving social acceptance first.
Paul Graham characterizes marketing strategies designed to intentionally anger people for attention as a tactic of "scammers." He argues that such approaches reveal a lack of long-term focus and earnest engineering, predicting that companies relying on these gimmicks will never become truly massive.
The founder of Absurd, an AI video ad agency, explains their model of charging upwards of $30k per video. By handling the entire creative and distribution process as a service, they capture more value and avoid the commoditization and lower price points inherent in building a self-serve SaaS video editor.
Matt Grimm of Anduril highlights that many secondary share offerings are structured as "forward contracts," which he calls notoriously hard to settle and explicitly disallowed by his company's bylaws. This means investors in such SPVs face extreme counterparty risk and may never actually take possession of the shares.
The struggle to automate the clipping of viral podcast moments highlights a key AI deficiency. Models fail to identify emotionally resonant or humorous language (like the word "slop" used by Andrej Karpathy), a subtle skill that humans instinctively possess. This "taste" gap prevents true automation of content salience.
YC Partner Harsh Taggar suggests a durable competitive moat for startups exists in niche, B2B verticals like auditing or insurance. The top engineering talent at large labs like OpenAI or Anthropic are unlikely to be passionate about building these specific applications, leaving the market open for focused startups.
The argument is that "economic diffusion lag" is an excuse for AI's current limitations. If AI models were truly as capable as human employees, they would integrate into companies instantly—far faster than human hiring. The slow rollout proves they still lack core, necessary skills for broad economic value.
Paul Graham argues that a large team is a greater liability than low cash when a startup needs to pivot. Having many employees forces the founders to find a new idea that fits the existing team's capabilities, drastically limiting their options compared to a small founding team that can pursue anything.
AWS CEO Matt Garman's emphasis on "customer choice," combined with Jeff Bezos's philosophy of being customer-obsessed rather than competitor-obsessed, suggests AWS might offer Google's TPUs in their data centers if customers demand them, despite the direct competition.
YC Partner Harsh Taggar notes a strategic shift where new AI companies are not just selling software to incumbents (e.g., an AI tool for insurance). Instead, they are building "AI-native full stack" businesses that operate as the incumbent themselves (e.g., an AI-powered insurance brokerage).