Alex Rampell

Alex Rampell × Jean-Denis Greze

Town abandoned a tax business nearing $1 million in first-year revenue as annual demand and weak word of mouth favored incumbents.Its consumer-first assistant applies cheap tokens to concrete jobs, including supplier monitoring that may save restaurants hundreds or thousands.The test is whether reusable workflows deliver recurring value before model labs replicate them.

Terry Angelos × Alex Rampell

Payment credentials turned agents from “spectators to actors,” igniting wallet competition among Stripe Link, Shop Pay, and PayPal.Open-standard agentic tokens rose from zero to a few million weekly in three months; VGS, the largest provider, vaults about a third of e-commerce by GMV.They preserve chargeback rules and follow-on purchases, but liability for agent errors remains unresolved.

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.

Erik Torenberg × Alex Rampell × Max Levchin

Visa and Mastercard still impose a roughly 2.5-second transaction window, a roughly 60-year-old standard that limits room for antifraud and payment innovation even as agents could reopen the interface.Affirm shows where the economics are strongest: Beautylish installments lifted conversion 30%, merchants fund negative CAC, and products up to 3½ years require machine-learning underwriting, while whether consumers will delegate purchase choices remains unresolved.

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.