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Dylan Field described 'vibemath-ing' — using AI to explore mathematical problems — as a way to test verifiable AI capabilities in contrast to the subjective nature of design evaluation.
Where this was said
At 6:22 · chapter starts 6:08
Asked whether he has 'AI psychosis,' Field laughs and says it's better to front-run it than let it sneak up on you. His current obsession is what he calls 'vibemath-ing' — using AI to explore mathematical problems, not to prove theorems, but to study how AI attacks verifiable problems. [1] — Dylan Field "Dylan Field is using AI to tackle math problems — what he calls 'vibemath-ing' — because math is one of the few domains where AI correctnes…" 06:22 He contrasts this with design evaluation, where two people can look at the same thing and reach opposite conclusions; in math, the answer is right or it isn't. This love of exploration has a longer backstory: Field says he was into crypto collectibles (now NFTs) early on, and before that, WebGL, the browser graphics technology that eventually became the technical foundation for Figma. The pattern, he argues, is consistent — go deep on something before you know where it leads, and it pays off in ways you can't anticipate.
Dylan Field is using AI to tackle math problems — what he calls 'vibemath-ing' — because math is one of the few domains where AI correctness is black and white. It's the polar opposite of design evaluation, and he thinks exploring the edges of what models can do pays off in unexpected ways.
Dylan Field said his early exploration of WebGL was a key technology that eventually led to the founding of Figma.
Kevin Roose's theory: CEOs are obsessed with vibe coding because it reminds them of when their jobs were fun. Dylan Field's take: people love making things, and AI is democratizing that for everyone — not just executives building weekend projects.
Dylan Field pushes back on the 'design is dead' narrative. When AI generates the average, having genuine creative voice and pushing beyond the first output is exactly how you stand out. The App Store has more apps than ever — but the same number are actually being used.
Sam's initial MVP was coded in approximately one week using ChatGPT voice mode and copy-pasting code, with no prior technical experience.
Sam argues Discord is 10x better than email for building relationships with younger users who rarely check their inbox.
Sam's monthly operating costs include Cursor ($200), AI image generation ($100), AI video generation ($200), hosting ($100), email marketing ($80), and AI compute ($300–$500).
Sam recommends copying days of Discord chat history into ChatGPT and prompting it to list recurring pain points as a fast, free market research technique.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
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