I've been using HTML for planning, speccing, exploration, code review, reports and a lot more. x.com/trq212/status/20528098…

Today, I'm incredibly excited to announce @withdefault's Series A led by @8vc and our new product. We spent the last three years building the tools and orchestration layer companies like @owner and @AirbyteHQ have used to build infrastructure across their go-to-market functions. Today, we're launching the first real-time data layer for go-to-market, a powerful new revenue agent, and a suite of tools for revenue teams and their agents. It's Day 1.

how is claude down i was absolutely ripping

54% of Anthropic's new enterprise logos in 2026 came through self-serve. Self-serve enterprise. Real ACV. Real terms of service. No AE in the loop. Anthropic's Head of Industries Eleanor Dorfman walked through at SaaStr AI 2026 last week how they rebuilt the entire sales org in 30 days after Claude Opus 4.6 broke their demand curve in December. 👉The constraint: couldn't 3x or 4x the sales team fast enough without lowering the recruiting bar. The thesis: don't buy a new stack. Thread Claude through the one you already have. What they kept: 1⃣ Clay for enrichment 2⃣LeanData for routing 3⃣ @salesforce as system of record 4⃣@Gong_io for call coaching 5⃣Ironclad for contracts 6⃣@slackhq for everything else What they added: Claude as the connective tissue between all six. The four moves: 1/ Killed the PLG vs SLG orthodoxy. Launched enterprise self-serve in January. Intercom Fin guides the buyer through the journey. Now 54% of new enterprise logos. 2/ Threaded Claude through the existing stack. Every AE starts the day with a "morning brief" Skill that pulls context from Gmail, Gong, Slack, Salesforce, @intercom, Greenhouse. 3/ Made Slack the front door for every support function. Slack ticket in, Jira ticket out. Claude triages and resolves inline if it matches precedent. Escalates with full context if not. 4/ Codified what the best reps do as Skills. Every new rep gets a sales plug-in with 5 Skills: morning brief, call prep, customer follow-up, competitive intel, create-an-asset. Anthropic didn't replace anything. They invested in the stack they already had and let Claude be the seam between everything. Most companies will spend 2026 evaluating AI-native sales platforms. But Anthropic did it with its current stack Claude. Almost none of it required new software.

just launched: @mobbin mcp 💛 your AI agents can now search 600,000 real app screens. paywalls, onboarding, checkout, permissions — from apps that already shipped. ai tools can write code. they just don't know what good looks like. now they do. 👉 mobbin.com/mcp

Never heard of this guy but he made me rich #underdog #polymarketpartner

no one would design a company today the way companies were designed two years ago. the line between engineers and everyone else was an artifact of who could write code. that line is gone. 70% of our merged PRs are written by our in-house agent, and over 10% of the PRs weren't written by eng team. the org chart is the next thing to redesign.

The hardest AI agents are AI for SMBs. No FDEs, customers have no budgets. @owner has cracked the code with $1B in sales for thousands and thousands of restaurants One of the fastest growing I've ever invested in, and even more importantly ... accelerating AI Agents for SMB is the next wave #proudinvestor

No matter what kind of company you are...start making your internal company data legible to AI. Today. As a founder, you are essentially building two versions of your company: the one humans work in and the digital twin that AI agents navigate to do the heavy lifting for you.

I agree with my friend Brian most of the time. This is one of those times. Start making your internal company data legible. Not just for AI, but in general.

I've noticed "most" companies founded in 2022 are quite different in how they organize/build than the ones founded in 2024. If you were founded pre-2024, Ramp built a really thoughtful playbook on how to get your whole org ai pilled.

Incentives explain outcomes

Every wildly successful founder I know has the same traits: - Mad work ethic - Zero shame - Comfort being hated - A little bit of the tism - Some variation of ADHD HR would reject all of them. That's exactly why they win.

Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude. Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.

Thank god for blue collars

absolute dawg. congrats @ankurnagpal

If you want to build wealth, chase jobs that pay you based on output, not input High paying jobs require you to work when needed. Being an entrepreneur means you work when needed Concept of a 9-5 does not exist for these people. The puck stops with you, regardless of whether you are sick or on vacation What matters is execution and results, not the time you spend. Output is what gets you paid the big dollars, not the input

Every entrepreneur that knows how to use AI is trying to find ways to build AI native companies that completely displace incumbents. For the incumbents, it’s the “Innovator’s AI Dilemma” If those startups get traction, and they can’t buy them, the CEOs will face multiple huge Dilemmas: 1. Do they tear down their companies and reinvent them as native AI ? 2. How do they explain it to public shareholders ? You will know AI is having a huge impact on public companies when there are two types of lawsuits: - Shareholders that sue the company for tearing down the company and crushing the stock price - Shareholders that sue the company for NOT tearing down the company and crushing the stock price I think most CEOs don’t come close to understanding AI in enough detail to even begin to consider these decisions. Hint: Asking your AI models the best paths from where you are now, to being an AI native version that can achieve the same economics has to be one of your initial steps. If asking your models questions doesn’t make sense to you, you are in deep shit