Paul

@JJEnglert GTM Guide

I built the ultimate GTM Engineer AI Toolkit that handles prospect research, outreach writing, meeting prep, and more in minutes. This is a beginner-friendly walkthrough that shows you exactly how to set it up, use it at work, and personalize it to your business. It can: - Research real prospects and companies - Score accounts against your ICP - Write personalized cold outreach sequences - Generate meeting prep briefs before calls - Help you build a repeatable prospecting pipeline - All using a free toolkit + Claude Code / Codex. This is for SDRs, founders, marketers, and GTM operators who want to use AI to do more at work without buying another expensive tool. I break down the full workflow step by step in the video. 👇 Comment "GTM GUIDE" and I’ll send you the full toolkit. (make sure you're following me so I can DM you)

The future of marketing is buying creators/media properties

@vitaliidodonov Alpha

I’m launching Stanley (AI Head of Content) on June 1, 2026. Over the next 6-12 months, I'll grow it from $0 → $10M ARR. In public. (While running my $30M ARR business full time) I will also be using only AI employees to do it, so you can copy the playbook. I'll update this thread as I go. Bookmark it and follow along to hold me accountable 🤝 Comment "alpha" to get early access. My social media stats as of today:

@andysparks Love the human and machine interface approach.

First pack is hiring. Seven cards, free right now. managementcraft.co

Excited about a new thing: I built a management library you can talk to. 5+ years of coaching founders, noticed they all run into the same stuff. I kept using the same frameworks. So I turned them into cards you can read in five minutes or paste into an LLM that helps you actually implement them.

@toddsaunders Fantastic idea.

A Fortune 500 exec who runs one of the biggest blue collar companies in the country DM'd me yesterday. Gave me an idea that I'm starting to get really excited about. Build a version of YC for blue collar builders who use Claude Code. Essentially an accelerator for blue collar founders building for trades, construction, fleet, field services, etc. Whatever their domain expertise is. They offered to help fund the first batch, and we started to put together a list of incredible mentors. It's crazy how fast the power dynamic in software has shifted. But this could be very big.

With autonomous agent teams in full swing, I'm curious to see what DAO's 2.0 will look like.

"We're trying to hire as many new grads as we can. We're finding that a lot of young people are agentmaxxing." - Replit founder @amasad Amjad says that despite the “doom and gloom” around entry-level jobs, this is actually a “golden era” for young people who know how to use AI tools: "The roles are collapsing. We have designers shipping code, engineers shipping design, and salespeople shipping code." "The particular skill is not the bottleneck anymore. It is how ambitious you are, how generative you are, how creative you are, and how good you are at utilizing these tools." "So I think it's really a golden era for a lot of young people coming up right now in the job market. In our time, you would go and interview and become a Java J2EE software engineer doing global migrations. That was your title, right? It's no longer the case. We just want people to come and do things, and I think that's incredibly exciting."

@TheMattBerman @openclaw @boringmarketer @virlomain Views

this @openclaw agent replaced my $8K/month content strategist for $30 😱 i'll show you EXACTLY how to build it live with @boringmarketer vibe marketers. here's the system: step 1: scan 1000s+ creators for outlier signals → @virlomain watches your niche 24/7 → it finds outlier videos that beat the creator's OWN average by 10x-50x. → last week it flagged a 51x outlier. 4,800 avg views. one video: 249,000. step 2: pull the raw evidence → @adrian_horning_ 's ScrapeCreators fetches the full package → thumbnail, caption, stats, creator context → this gives the AI everything it needs to analyze. step 3: break down WHY it worked (7 dimensions) → Content DNA runs each video through Gemini 3 Flash via @OpenRouterAI → topic, angle, hook structure (visual + text + spoken), story beats, visual format, key visuals, audio → the output is a "brick." the portable structure that made people stop scrolling. step 4: rank the reusable bricks → @openclaw compares all 10 breakdowns → scores each brick by portability and frequency → bricks showing up across 3+ creators = highest confidence bets step 5: generate 10 concepts in your voice + 3 psychology frameworks → learns your voice so output sounds like you → then runs every concept through Puppet Strings (desire), Scroll Traps (attention), and Care to Click (action) → you hit emotion and desire. not just features. every hook is copy-paste ready. step 6: delivers 10 concepts every monday at 8am → cron runs the whole pipeline overnight → pick 3. film. post. done. input: your niche output: 10 proven content concepts every monday a GOOD content strategist costs $8-10K/month. this runs for ~$30/month in API costs. on march 12, me and @boringmarketer vibe marketing community are building this system live: - brand voice file - content radar scanning your niche - content DNA breaking it down - weekly cron, scheduled and firing you leave with a running system (not a repo to figure out later) comment VIEWS + like + follow (must follow so i can DM you the link to join)

There’s a huge opportunity to build Trade School 2.0. Here’s my thinking: Both education and employment are in the middle of a tectonic shift. AI and other new technologies are reshaping those landscapes rapidly. The traditional college system is fracturing. How do you convince someone to spend $200k+ on a degree when entry-level knowledge economy jobs feel increasingly uncertain? Meanwhile, the unsexy is becoming sexy. Plumbers. Electricians. HVAC technicians. Home services. Energy. Manufacturing. People who work with their hands and need to understand people. Trade School 2.0 embraces technology as leverage in both training and business building in service-oriented sectors. It could also serve the massive reskilling wave that's coming. Training people for "trades" we can't even envision today What am I missing? Who’s building this?

Vibe Coding Is the New Product Management “There’s been a shift—a marked pronouncement in the last year and especially in the last few months—most pronounced by Claude Code, which is a specific model that has a coding engine in it, which is so good that I think now you have vibe coders, which are people who didn’t really code much or hadn’t coded in a long time, who are using essentially English as a programming language—as an input into this code bot—which can do end-to-end coding. Instead of just helping you debug things in the middle, you can describe an application that you want. You can have it lay out a plan, you can have it interview you for the plan. You can give it feedback along the way, and then it’ll chunk it up and will build all the scaffolding. It’ll download all the libraries and all the connectors and all the hooks, and it’ll start building your app and building test harnesses and testing it. And you can keep giving it feedback and debugging it by voice, saying, “This doesn’t work. That works. Change this. Change that,” and have it build you an entire working application without your having written a single line of code. For a large group of people who either don’t code anymore or never did, this is mind-blowing. This is taking them from idea space, and opinion space, and from taste directly into product. So that’s what I mean—product management has taken over coding. Vibe coding is the new product management. Instead of trying to manage a product or a bunch of engineers by telling them what to do, you’re now telling a computer what to do. And the computer is tireless. The computer is egoless, and it’ll just keep working. It’ll take feedback without getting offended. You can spin up multiple instances. It’ll work 24/7 and you can have it produce working output. What does that mean? Just like now anybody can make a video or anyone can make a podcast, anyone can now make an application. So we should expect to see a tsunami of applications. Not that we don’t have one already in the App Store, but it doesn’t even begin to compare to what we’re going to see. However, when you start drowning in these applications, does that necessarily mean that these are all going to get used or they’re competitive? No. I think it’s going to break into two kinds of things. First, the best application for a given use case still tends to win the entire category. When you have such a multiplicity of content, whether in videos or audio or music or applications, there’s no demand for average. Nobody wants the average thing. People want the best thing that does the job. So first of all, you just have more shots on goal. So there will be more of the best. There will be a lot more niches getting filled. You might have wanted an application for a very specific thing, like tracking lunar phases in a certain context, or a certain kind of personality test, or a very specific kind of video game that made you nostalgic for something. Before, the market just wasn’t large enough to justify the cost of an engineer coding away for a year or two. But now the best vibe coding app might be enough to scratch that itch or fill that slot. So a lot more niches will get filled, and as that happens, the tide will rise. The best applications—those engineers themselves are going to be much more leveraged. They’ll be able to add more features, fix more bugs, smooth out more of the edges. So the best applications will continue to get better. A lot more niches will get filled. And even individual niches—such as you want an app that’s just for your own very specific health tracking needs, or for your own very specific architectural layout or design—that app that could have never existed will now exist.”

Prediction: In the AI age, taste will become even more important. When anyone can make anything, the big differentiator is what you choose to make. paulgraham.com/taste.html

Which credit card will offer “AI subscription” perks first? Like $300 annual credit for select AI services.

This is a great articulation of the agentic services opportunity right now. Most areas of professional services will have AI agent opportunities that are similar in scope to when we had a SaaS buildout for every major area of work, or consumer marketplaces get built out for every category economic activity. These are categories of work that historically have been lighter on workflow automation as most of the work deals with unstructured data, like contracts, financial records, filings, and more. These are perfect areas for agents because they can process unstructured data at scale. And each space needs domain expertise on the workflows, specialized implementation, deep context engineering, and more. As a result of agents, some enterprises will choose to bring these capabilities in-house, new AI native services firms will emerge, and existing professional services firms will be some of the biggest customers of these tools as they will allow them to take on more business or offer more services to customers. Huge opportunity.

Marc Andreessen: "The job is not actually the atomic unit of what happens in the workplace. The atomic unit of what happens in the workplace is the task." "A job is a bundle of tasks." “Everybody wants to talk about job loss, but really what you want to look at is task loss.” "As the tasks change enough, then that’s when the jobs change." "Ten years from now, is your job title coder, or coder-designer-product manager, or is it just, ‘I build products,’ or is it just, ‘I tell the AI how to build products.’ Whatever that job is called, it’s going to be incredibly important, because the people doing that job are going to be orchestrating the AI." @pmarca on Lenny's Podcast with @lennysan

@businessbarista Claude

I want to start a community dedicated to Claude Code. It’s become the gateway drug to coding and experiencing the power of AI for tons of people. This will be a space for people to share killer use cases, agentic workflows, proven prompts, and connect with other CC obsessives. Comment “Claude” if you want to join.

@gregisenberg @martymadrid and agree.com team thinks so too.

This might be obvious but in a vibe coding world, where the amount of websites/apps is going to 100x, the value of a high quality dot com or dot ai goes way up

@coldemailchris Email

This A-Z cold email system cheatsheet covers everything you need to know to send 10,000+ cold emails/day with 98% deliverability in 2025. It covers in-depth walkthroughs on everything from: > AI prompts for deep market research, TAM mapping, and ICP validation > Best-in-market cold email infrastructure and deliverability protocols > 3-step account sourcing to contact enrichment list building process > 3 useful data scraping & enrichment workflows to build out in Clay > Top 46 GTM tools to leverage in your cold email technology stack > 10 validated cold email script frameworks + 10 core messaging principles > Campaign testing frameworks for hitting KPIs as efficiently as possible > Optimal campaign metrics to monitor and how to action on each one Want this A-Z cold email system cheatsheet for yourself? 👉 Like + Comment "Email" and I'll DM you the downloadable PDF. [ Must be following to receive ]

Fast forward 2.5 years via @grok

The world watches in awe as the crypto-nesting-doll revolution takes hold. Citizens trade fractional "MatryoshCoins" for daily essentials, with one "FullDoll" equating to the value of a vintage samovar. #midjourney5 #chatgpt4