Founder Weekly - Issue 754
Founder Weekly (Issue 754 October 28 2026)
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Welcome to issue 754 of Founder Weekly. Let's get straight to the links this week.
AI research, explained in one morning email
Most of what shapes AI next year is sitting in a research paper today. Keeping up with them is a full-time job, and the abstracts don't help.
TLDR AI is the newsletter that does the translating. Each morning you get the handful of papers worth knowing about, curated by Anthropic and ex-Google engineers, with a plain-English summary of what they found and why it matters.
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General
Venkatesh Rao compares today's anxiety about AI to the scarcity-driven thinking that preceded modern capitalism, suggesting that abundant intelligence could unlock entirely new forms of economic demand. Just as agricultural productivity freed people to pursue new industries, AI could enable people to undertake projects and pursue ambitions that were previously beyond their reach.
We built Oncourse AI to 80k+ signups as a small, bootstrapped team, and I built Caddie in a week on the side. Neither would have been possible working the way most teams still work. These principles are how we did it.
This conversation explores how vertical SaaS companies can maintain defensibility against AI by leveraging proprietary data, marketplace dynamics, and operational depth rather than relying on software complexity alone. The discussion emphasizes the need for founders to move beyond simple system-of-record models toward embedded services and specialized workflows to secure long-term value.
This video outlines the PULL framework, a practical method for achieving product-market fit by identifying specific, unavoidable customer problems that trigger genuine buying intent. It guides founders through a step-by-step process of validated discovery, cold outreach, and structured sales to build a repeatable "case study factory" instead of pushing unwanted products.
Buffett says knowledge builds like compound interest. Get the key ideas from The Intelligent Investor, Business Adventures, and more in 15 minutes with Shortform. Start learning!
Marketing, Sales and PR
Farza Majeed advocates for a demo-driven launch strategy, where founders consistently share raw, authentic product progress across algorithmic platforms like Twitter and Instagram rather than relying on high-production, expensive videos. By embracing a cringe-first mentality and treating every feature update as a mini-story, creators can build genuine community engagement and refine their messaging through constant, low-stakes repetition.
Shane Hegde of Air shares how they transformed their creative ops SaaS into an AI-native business by embedding AI features and shifting focus to usage metrics (ACUs) instead of traditional ARR. This drove explosive growth, with ACUs increasing 15x in five months, the overall growth rate doubling, and net new ARR tripling, challenging the “SaaSpocalypse” narrative.
Inside how founder Melissa Kwan repositioned her entire company with Claude.
Explore four ways PR for GEO can influence AI citations, brand mentions, search visibility, and recommendations and why the connection isn't always clear.
Money and Finance
There are no automatic magic metrics that guarantee a funding round. Investors fund their belief in a company's potential to become massive, with metrics serving to make that vision credible. Founders must understand their numbers in depth, demonstrate consistent trends rather than isolated snapshots, and recognize that strong metrics depend on growth rates, competing investment opportunities, and alignment with the company's specific thesis. A poor grasp of the numbers can be enough to disqualify a founder.
Rick Zullo examines how average seed valuations have climbed from $12 million to over $40 million in six years, while startup graduation rates and valuation step-ups have weakened. He makes the case that venture firms must move beyond conventional strategies and develop differentiated investment approaches to deliver exceptional returns.
Peter Walker examines the economics of AI inference using OpenRouter data, showing how weekly token consumption surged from 0.5 trillion to 164 trillion while average prices fell from $0.77 to $0.14 per million tokens. With agents driving most token usage and open-weight models gaining share, effective AI costs increasingly depend on model selection, prompt caching, provider reliability, and intelligent routing.
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