The Complete Feed

Mike Vincenzino shares the story behind building Kindora, a family operating system inspired by caring for his mother with dementia. This piece reframes caregiving as a systems problem—and argues that while we’ve built powerful tools for companies, families are still left managing chaos with fragmented, inadequate tech.

The old martech stack is not just messy. It is starting to get in the way. In this GTM Slop piece, Brett House breaks down Scott Brinker’s new report on the AI-era martech stack and explains why the shift from rigid stacks to composable systems matters for speed, integration, data, and growth. The real advantage will not come from buying more tools. It will come from building a growth system that moves faster, decides better, and executes with less friction.

UX isn’t being redesigned—it’s being replaced. As AI shifts systems from navigation to action, interfaces fade and design moves upstream. This piece explores the collapse of traditional UX, the rise of agentic systems, and why the future of design is about orchestrating outcomes—not building screens.

What if your next biggest competitor is not another vendor, but Claude Code deciding your category does not need to be bought at all? This piece looks at how coding agents are starting to shape technical vendor selection, why that changes GTM, and what B2B software and AI companies need to do now to avoid getting bypassed before a salesperson ever gets involved.

The agency model is splitting. Some holdcos are evolving into integrated operating companies built on data, platforms, and AI. Others remain loosely connected portfolios of services. As media becomes automated and margins compress, the winners will be those who own the infrastructure behind marketing — not just the execution in front of it.

Most B2B software and AI product launches fail due to weak go-to-market execution—not product quality. Companies struggle to translate value into a clear story, target audience, and proof, creating “GTM slop.” Success requires strong narrative, alignment across teams, focused ICP, and real market readiness—not just campaigns, content, or hype.

Customer Data Platforms are entering a new phase — not convergence, but fragmentation. This article explores four emerging futures for the CDP: the Agentic Control Plane, the Intelligent Marketing Platform, the Unified Experience Stack, and the AI-Ready Data Layer. Each reflects a different vision for how AI, data, and marketing operations will evolve—and what role the CDP may play in the years ahead.

For fifteen years, advertising has revolved around real-time auctions. But as agentic AI and protocols like AdCP emerge, machines can now reason, remember, and negotiate—not just bid. This shift could move value upstream into continuously negotiated, agent-to-agent deals, relegating open exchanges to clearing remnant supply. The result: a market defined less by speed and auctions, and more by automated, machine-executed negotiation.

The Shift: The most valuable skill in 2026 isn’t writing code — it’s describing what you want clearly enough that AI can build it for you. The Proof: MIT named “generative coding” one of its 10 Breakthrough Technologies of 2026. AI now writes 30% of Microsoft’s code and over 25% of Google’s. The Catch: The “just vibe it” takes are dangerously incomplete. The real skill behind AI-assisted building is something nobody’s talking about — and it’s something you can learn.

After a blockbuster Q4 2025, AppLovin has cemented itself as AdTech’s most valuable — and polarizing — company. Explosive ad growth and margin expansion suggest its AI engine is working. But success brings scrutiny. With Meta looming over in-game and performance budgets, the real question is whether an independent optimization layer can keep scaling inside a world dominated by walled gardens.

Part 2 of this series. If you haven’t watched Part 1, start there for the core framework on aligning GTM and CX as one operating system. In this episode, we look at real-world examples of companies that either connect—or fracture—GTM and customer experience. We reference operator-driven clarity at DoubleVerify, premium ecosystem consistency at Apple, channel fragmentation in Auto, mature orchestration at Flywheel, and competitive GTM tempo from OpenAI. We also touch on Servic

GTM is not messaging. It’s the operating system that turns value into adoption. GTM is the promise  you make to the market. Customer experience is the proof  the customer lives with. When GTM and CX are disconnected, you get three predictable failures: Story drift: sales sells one thing, onboarding delivers another, CS explains the gap Adoption drag: the product may be good, but the experience doesn’t get users to value fast enough Trust decay: customers don’t renew based on

Today, we officially launch Signal & Noise. Co-founded with Rio Longacre, this is not another marketing content brand. It’s a no-BS media company built by operators—for operators. In an industry drowning in hype, frameworks, and performative AI narratives, we’re focused on what actually matters. Signal & Noise brings together candid podcast conversations, an editorial desk, an executive contributor network, and live events designed to surface real insight from founders,

The Cost of Keeping Quiet exposes how silence enables billions in media waste and fraud. Drawing on firsthand experience, Sarah Caputo and David Nyurenberg reveal how incentives, platform dependency, and industry opacity discourage scrutiny. Their message is clear: until buyers and tech leaders challenge the system, hidden costs will persist—and consumers will keep paying the price.

Publisher monetization is at a breaking point. Open-web economics are collapsing under platform control, identity loss, and commoditized inventory. Yet publishers still own powerful assets—trusted brands, engaged audiences, and rich first-party data. The path forward isn’t another tactic, but a systemic redesign of strategy, data, inventory, measurement, technology, and operating model to reclaim control and build durable revenue.

Ad fraud isn’t a bug in the system. It is the system. Digital advertising was built on the promise of precision at scale. What we got instead is an economy where speed, automation, and opaque incentives have created the perfect habitat for industrialized ad fraud, one of the most profitable forms of organized crime on the planet. It thrives because we let it.