We made a decision early: We didn't want to spend millions on ads. We wanted operators, creators, and founders to spread Pocodot naturally. Because AI-native products don't spread like old SaaS. They spread through: workflows screenshots group chats creator systems operator recommendations That's why we launched the Pocodot Creator Program. Not an affiliate program. A network of people building the future of operational leverage. The creators winning right now aren't just creators anymore. They're running media companies from their phones. Cole was built for them. pocodot.ai/creators

Your team has a Slack channel. a WhatsApp group. a LINE thread. a Telegram channel. All active. All separate. All requiring you to hold the context between them. Cole holds it for you. One AI. Every group your team already uses. Try him for yourself - pocodot.ai/teams Let me know what you think!

Every e-commerce brand has money sitting in unpaid invoices. Most brand owners are too busy building to chase it. Cole tracks overdue invoices, sends reminders on WhatsApp, and makes the call when messages don't get replies. The invoice gets paid. You never had to be on the phone. pocodot.ai

The hardest part of building @PocodotAI right now isn't the product. It's figuring out the North Star activation metric. With Facebook, it was 7 friends within 10 days. That number was the signal. If a user hit that, they stayed. If they didn't, they churned. One metric told them everything. We're in that search right now. We know people are using Cole. We know they love it. But we're still mapping the exact sequence of actions that predicts a user who stays versus one who drifts. With AI there are so many things you can build, so many directions you can move, that the discipline of sticking to first principles is harder than it sounds. The temptation is to build more. What we actually need is to understand the funnel we already have. It's the unsexy work. But it's the work that matters most right now.

Everyone can clone your code. Not everyone can move markets. Not everyone can turn attention into momentum. In today’s landscape, utility is table stakes. Distribution is the differentiator. That’s exactly why we’re building @OneAnalog as more than a toolkit - it’s an agentic laboratory for next-gen utility and engagement. We’re not just shipping tools; we’re shaping experiences that attract attention, reward participation, and stay sticky.

Markets are loud until they aren’t. When prices stop moving, explanations stop working. What remains is whatever you built while no one was watching. At @OneAnalog , that silence was useful. Crypto and web3 have spent years bouncing between meta after meta, narrative after narrative. Somewhere along the way, the industry forgot the most basic rule of technology: build something people want. So I stepped away from the noise. Not to disengage, but to lead a reset. To be heads-down on what actually matters: building an AI-powered utility engine that produces real, repeatable value. @Firestarter_AI was the first signal. Not a feature. Not a patch. An all-in-one agentic commerce platform, designed to bring commerce into the 21st century—and into the era of AI. Firestarter V1 proved demand. Firestarter V2 made the direction clear. Commerce doesn’t need more dashboards. It needs agents. Agents that understand intent. Agents that search, decide, coordinate, and act. Jarvis for buyers. Scout for service providers. Voice and text - because real commerce is conversational, not menu-driven. Underneath this, something quieter was happening. Once agents become the interface, infrastructure becomes the differentiator. That’s why everything we build runs on Analog’s foundational rails - messaging protocols, coordination layers, and agent infrastructure that quietly powers every product. Most people won’t see it. They’ll just notice that things work differently.

Service discovery still works the same way it did years ago. We just scroll faster now. Most business data today is built to be looked at, not understood: HTML pages, star ratings, free-text reviews, phone numbers you’re supposed to call and hope someone answers. That’s fine for browsing. It breaks for delegation. The world is shifting quietly from “let me search” to “handle this for me.” That only works if service providers are legible to agents. Right now, a Google Business profile can’t reliably answer basic questions: Do you do this service? How late are you open? How much does it cost? Can I book, or do I need to call? Because the data isn’t shaped for reasoning. What agents need looks less like a webpage and more like an interface:

I showed Jarvis (@Firestarter_AI ) to my friend's mother yesterday. She'd flown in from Colombia to visit her son in Korea.

A few weeks ago I talked about AI agents transacting via crypto rails (x402). That idea is now turning into product. Firestarter v2 ( @Firestarter_fun ) = agentic commerce. @OneAnalog is evolving into an agentic lab building execution-first automation, with crypto rails a large part of the infrastructure. When agents can act and pay natively, market structures change. Buyers and sellers both participate. Sneak peek is live (https//nukem.xyz) - token dynamics ($ANLOG) coming soon.

If you’re trying to reach me, I’m in the bunker with the team building the future of commerce - with a touch of x402 payment magic. Launch coming soon. Hope you enjoy what we’re about to release. Incubated by @OneAnalog , with a sprinkle of $ANLOG.

I’ll say it till the cows come home: @Firestarter_fun utility-driven tokens (powered by @OneAnalog ) chart differently. The patterns simply don’t behave the same as non-utility ones. IYKYK $ANLOG frens. While the outside markets look unfriendly, folks seek safe harbor in ours.