Alex Rampell

Alex Rampell × Joe Schmidt × Keith Peiris

Keith Peiris stopped Tome at 2 million monthly users because models lacked context about the presenter, audience, and their relationship, then built Lightfield as a “business world model” around a relationship log.Both pricing extremes failed, leading to platform fees plus seats for core CRM and consumption elsewhere.Speed remains the risk: ElevenLabs moved to Salesforce after dashboards took four months.

Alex Rampell × Olivia Moore × Steijn Pelle × Frédéric Renken

Lassie monetizes an understaffed labor budget: U.S. dental practices spend roughly $200,000 annually on administration, while its agent already sells for five figures.Its reported 98% automation and read-write workflow integrations could expand from dentistry, but distribution, onboarding, proprietary knowledge, and paper payments remain key execution risks.

Alex Rampell × Ben Horowitz

AI is eroding software’s migration, data, and interface moats while compressing product runway from years to “five weeks.”As code becomes replicable and agents flexible, defensibility shifts toward genuinely distinct value, while electricity, memory, manufacturing, and grid equipment become binding constraints.Venture capital could consolidate into bank-like institutions or expand dramatically if AI creates abundant new businesses, leaving its long-term structure unresolved.

Alex Rampell × Erik Torenberg × Mike Cannon-Brookes

AI is repricing SaaS before proving universal impairment, with Zendesk-like seat models exposed to agent substitution while Workday’s employee-based pricing and Adobe’s middle position may be underappreciated.Atlassian’s three great quarters, accumulated process knowledge, Teamwork Graph and extensibility strategy could make core systems stickier, but value depends on fair pricing and product design that earns trust as agents enter workflows.

Alex Rampell × Jen Kha × David Haber × Anish Acharya

AI is becoming a full software cycle atop smartphones and cloud infrastructure, with roughly 15% of adults globally using ChatGPT weekly.Greenfield systems and labor automation offer the cleanest openings, while Salient’s 50% collection lift favors revenue creation over savings-only pitches.Durability depends on owning workflows and private outcome data as models commoditize and incumbents monetize installed distribution.

Harry Stebbings × Alex Rampell

a16z’s $15B raise embodies Alex Rampell’s “death of the middle”: venture may favor large generalists or small specialists, as 3x on $1B beats 5x on $50M.His founder test is whether people can materialize labor, capital, and customers, while greenfield systems of record and AI software replacing labor seek stickiness through proprietary data.Competition can compress from years to weeks, only 5% of the unicorn class may go public, and massive secondaries can introduce moral hazard.

David Haber × Alex Rampell × Erik Torenberg

AI expands software’s addressable market from IT budgets into labor spend, but durable advantage still depends on workflow ownership, context, systems of record, and customer dependence.Per-seat SaaS faces outcome-pricing pressure, while narrow labor-replacing features can scale through usage, data, and distribution before consolidation leaves undifferentiated competitors behind.

Russ Fradin × Alex Rampell

Enterprise AI’s binding constraint is shifting from capability to measurement as roughly $700 billion in spending meets executives’ fear that they cannot prove what works.More than 80% of Laridan customers discover unlicensed shadow AI, while passive usage, work output, and survey evidence may help CFOs distinguish adoption from value before the 18-month leadership window closes.

Reid Hoffman × Erik Torenberg × Alex Rampell

Reid Hoffman sees the strongest AI opportunities beyond Silicon Valley’s obvious line of sight, especially drug discovery that validates a small fraction of useful predictions and software that augments doctors, lawyers, and sole proprietors.Biology, regulation, robotics economics, compute costs, and network effects limit the pace of disruption, while AI’s likely role as a powerful companion rather than a reciprocal friend leaves adoption, labor, and children’s epistemology unresolved.

Alex Rampell × Justine Moore

Google is losing informational queries while retaining monetizable shopping intent, but agents could eventually reroute the commercial tax by owning purchase initiation, price comparisons, attribution and checkout.The strongest opening is known-SKU commerce such as detergent, laptops and bikes, while trusted curation, decrapified data, agent-readable storefronts and payment infrastructure remain necessary because affiliate incentives and degraded web content undermine objective recommendations.