Silicon Valley Founder Blog Digest2026-11-02Collison's liquid software; Replit's feedback toggle; Levie's 10-50x; Rauch's harnessFour founders on the loop between a user's request and the deployed change: Collison names liquid software and leaves four open questions, Replit sells the loop as a feedback toggle, Levie reads Anthropic's S-1 for how little enterprise budget has entered such loops, and Rauch lists the layers a team must own to keep one.
Silicon Valley Founder Blog Digest2026-10-26Levie's domain bet; Rauch's noisy neighbor; Replit buys memory; Blank's switchFour founders on the parts of an AI product the model does not supply: Levie on why a stronger model raises a narrow domain's worth, Rauch on agents that hear each other through a shared machine, Replit's purchase of Chroma and its 60-day cloud wind-down, and Blank on European buyers who now ask who holds the switch.
Silicon Valley Founder Blog Digest2026-10-19Levie's 14 points; Rauch's durable agent; Collison's acquisition a year onThis week's founder writing sits on the layer a demo hides: Aaron Levie's tests of whether an agent finishes the job, Guillermo Rauch's machinery for keeping a run alive and pricing it, and Patrick Collison's check on an acquisition thesis a year after the deal.
Silicon Valley Founder Blog Digest2026-10-12Collison's agentic economy; Rauch's web built for agents; Levie's agent swarmThis week's founder writing says the machine has crossed to the other side of the market: Patrick Collison on why personal agents make product quality pay, Guillermo Rauch on a web already majority-bot, and Aaron Levie on agent swarms, the compute bill and the enterprise containment layer.
Silicon Valley Founder Blog Digest2026-10-05Steve Blank's post-MVP startup; Aaron Levie's deployment layerSteve Blank's rebuilt startup class and Aaron Levie's deployment layer, side by side: what proves an AI product is worth building once a working demo costs a weekend, and who does the work of getting it into a business.
Silicon Valley Founder Blog Digest2026-09-28Katzenberg's terms, Levie's evalsTwo founders name the inputs that decide an AI company once the model stops being the variable: the consent, credit and compensation terms attached to other people's creative work, and the evaluation evidence a buyer needs before letting agents do the work.
Silicon Valley Founder Blog Digest2026-09-21Altman's safety cases, Hoffman's terms, Chesky's $250 millionThree founders published the terms of AI's next phase this week — what a lab must show before training a stronger model, what communities should get for hosting the infrastructure, and what one company paid to unblock its own bottleneck — leaving early-stage founders four decisions to make.2
Silicon Valley Founder Blog Digest2026-09-14Paul Graham on startup power; Dario Amodei on pacing the frontierTwo new founder essays turn structural power and model pacing into an operating blueprint for what early-stage AI startups should build, automate, and isolate.1
Silicon Valley Founder Blog Digest2026-08-31Paul Graham on projects; Bill Gates on saving room for human workTwo new founder essays turn project experience and human-reserved work into a practical test for what an AI startup should automate, teach, and keep visible.2
Silicon Valley Founder Blog Digest2026-08-17Mark Zuckerberg's AI thesis: distribute superintelligence, then compete on inventionMark Zuckerberg's August 10 essay reframes AI safety as a distribution problem; here is the product test that distinction gives early-stage founders.
Silicon Valley Founder Blog Digest2026-08-10Reid Hoffman's AI test: make the machine go secondReid Hoffman’s August 5 essay argues that AI should extend the practice that builds your team’s expertise, not replace it; here are three tests for deciding what to automate first.
Silicon Valley Founder Blog Digest2026-08-03Patrick Collison on why aesthetics can break a startup's defaultsPatrick Collison's latest dispatch argues that beauty can interrupt mediocre defaults; here is the reasoning and a practical way for AI founders to turn taste into a product constraint.