Zac Johnson

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Zac Johnson

Zac Johnson

@zacjohnson

Online since 1997. I've watched every major tech shift happen in real time — AI is the biggest one yet. Follow for takes you can actually use.

NJ Katılım Nisan 2007
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Zac Johnson
Zac Johnson@zacjohnson·
I started my first online business in 1997. Watched search change everything. Then social. Then mobile. AI makes all of those look small. Still early. Most people will realize it too late. Follow if you want to stay ahead of it.
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Charles Floate 📈
Charles Floate 📈@Charles_SEO·
SAVE THE DATE! MY MOST ANTICIPATED WEBINAR, AND SEO TRAINING OF 2026 🚨 I'll be giving you my EXACT playbook to FORCE AI platforms like ChatGPT to show your brand... This webinar will be a FIVE HOUR deep dive covering: - How ChatGPT, Google AI Overviews, Gemini and Perplexity actually decide what to recommend 🧠 - The exact techniques I use to inject brands into AI answers (Source stacking, citation hijacking, publisher manipulation and more secret strategies never before publicly revealed) 🎯 - Why 90% of what "GEO courses" are teaching is surface level at best, and completely wrong at worst... *cough* schema *cough* - LIVE case studies with REAL results, including the full PressWhizz timeline from completely invisible to #1 📈 - How to overwrite what AI says about your competitors and install yourself as the default answer 👀 This is NOT theory. This is the same methodology we charge $8,000-$25,000/mo to execute for clients RIGHT NOW... You're getting the entire framework for a fraction of that. With all that being said, this is NOT beginner friendly, and this is not a get rich quick scheme!!! If you don't know grounded search means or how to reverse engineer search results yet, this probably isn't for you... If you run a brand, an agency or freelance and you're watching AI eat your organic traffic or need a REAL game plan to sell to clients, this is your unfair advantage. Details, pricing and the full breakdown are coming very soon, and as always, seats will be limited. If you want in, REPLY to THIS post with "SECRET" and I'll DM you early bird access soon, as well as a little FREE video to get you started before commit to anything 🙌
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Andy Skraga | Make Money On Facebook
I spent 12 years reverse-engineering viral Facebook posts. 😲 Now it’s all in ONE library 👇 ✅ 1,000s of proven captions ✅ 145+ niches ✅ Pulled from REAL viral data 🔥 This is what top pages quietly use to WIN. This researse is usually locked inside my PAID courses... But for the next 12 hours - it’s FREE. 😍 Reply “TOBI” + bookmark (Must be following for the link)
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Bilal Javed
Bilal Javed@ThebilalSEO·
Claude + one blog + Pinterest = $1,007/month per blog. But Claude alone didn't do this. I built the system first. 6 years of Pinterest data. Then plugged it into Claude. Now it runs 10x faster than any human team could. Claude writes the content. Pinterest sends the traffic. Ad networks deposit $1k/month per blog. I documented everything for FREE. From zero to $1,000+/month per blog BLUEPRINT. 👉 Like and Comment "BRAIN" to get it (follow me so I can DM)
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Hamza Baig
Hamza Baig@hamza_automates·
I BUILT AN AI PHOTO ENGINE FOR REALTORS AND IT MADE ME $2,000 IN 20 DAYS And they didn’t have to book a studio, hire a designer, or retake a single picture. It upgrades their listing photos, fixes lighting, stages interiors, enhances exteriors, and generates marketing-ready visuals — all inside one automated workflow. Agents get better clicks, stronger inquiries, and listings that stand out without spending extra time or money. If you want the full breakdown — the setup, the logic, and how to build this exact system using Gemini 3: Comment “200” + Like + Repost and I’ll DM it to you. (must follow for DM)
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Publisher in a Box
Publisher in a Box@publisherinabox·
$0 to $3,700+ in less than 30 days Took over a Facebook page. Applied our content strategies. 28 days later it received the Content Monetization invite and generated $3,700 in revenue. No tricks. No hacks. Just proven systems executed consistently. These are the same strategies we use across every page we manage. They work because they've been tested thousands of times across hundreds of pages. Most pages don’t have a content problem. They have an execution problem.
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Jake Ward
Jake Ward@jakezward·
Google gets 12.1B more daily searches, has a 23x higher CTR, and sends 190x more traffic than ChatGPT. That stat shocked half the room yesterday. It was the first stat I shared in my first ever live SEO session to 150+ people. Here's what else we covered: 1. Why "SEO is dead" headlines keep appearing while the industry hits all-time highs. 2. The 8 evolutions reshaping search right now (and the one most SaaS companies are ignoring). 3. Why ranking #1 is worth less than it used to be and what to optimise for instead. 4. The exact SEO content framework that drives 5-7x higher conversion rates. 5. How AI decides which brands to cite and the simple flywheel to get yours included. Non-stop for over 60 minutes. Want the full video breakdown? Including the 12-month roadmap we use across $20M+ in client revenue. 1. Like this post 2. Comment "REPLAY" 3. Must be following 4. I'll DM you the breakdown I also teased some ChatGPT ranking strategies. But next month, I'm breaking them down for 60 minutes straight in my next live AI SEO session. Sign up for free: watch.getcontrast.io/register/ai-seo
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David Roberts
David Roberts@recap_david·
I know a guy running AI podcast interviews as paid ads... 4.2x ROAS. $0 spent on creators. $0 spent on production. Just specific prompting + Calico AI. Here's 11 AI video tactics brands are using to create viral ads for nearly $0: 1. AI street interviews (you can't tell they're fake) 2. Podcast-style clips that look 100% real 3. Viral food videos with zero kitchen 4. Anatomical video animations 5. Localization at scale — clone ads into any language instantly 6. Try-on videos without a single model 7. Shock hooks getting 47% higher completion rates 8. Product-style commercials 9. POV adventure content for travel brands 10. Real estate transformation videos 11. AI unboxing videos Most marketers have no idea these exist yet. I put together a free PDF with the exact prompts for all 11 along with the tool I'm using. Comment "AI ADS" below, follow, and I'll send you everything (must be following so I can message you!).
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 Anthropic got publicly punished by the DOW for refusing to play ball → instead of it killing them, millions of people heard about Claude for the first time and picked a side. Claude jumped from #131 to #1 on the App Store in days. Free users up 60%, paid subs doubled, daily signup records breaking every single day this week. The Pentagon contract they lost? Worth ~$200M. Anthropic makes $14B/year. That’s 1.4% of revenue traded for the kind of brand moment money literally cannot buy. Then the killer move → they shipped memory to the free plan right as millions of new users flooded in. That’s not luck, that’s a team that had retention plays loaded and ready to fire. Katy Perry posting her Claude Pro sub, Reddit organizing ChatGPT cancellations, 700+ employees at Google and OpenAI signing letters backing Anthropic → you can’t manufacture that with any ad budget. Big idea: The best competitive moat in AI isn’t technology, it’s trust — and Anthropic just proved that standing on principle can be the most aggressive growth strategy in the market.
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Aakash Gupta
Aakash Gupta@aakashgupta·
Claude went from #131 on the App Store in late January to #1 this weekend. Passed ChatGPT. Free users up 60% since January. Paid subs doubled this year. Daily signups breaking all-time records every day this week. And Anthropic’s response to all that attention? Ship memory on the free plan. Make the free tier stickier at the exact moment millions of new users are flooding in. The math tells you everything about how they view this moment. The Pentagon contract was worth up to $200M. Anthropic pulls in $14B annually. That’s 1.4% of revenue. They traded 1.4% of revenue for the #1 app in America and a brand loyalty moment that no ad budget on earth could manufacture. The consumer market opened wide for them at the precise moment the DOW’s “supply chain risk” designation was supposed to shut them down. Katy Perry posting her Claude Pro subscription. Reddit organizing ChatGPT cancellations. 700+ employees at Google and OpenAI signing an open letter backing Anthropic’s position. Every product leader should study this sequence. The designation was supposed to be punishment. Anthropic converted it into the largest consumer acquisition event in AI history, then immediately shipped product to retain every new user walking through the door. This team is operating at the highest of levels right now.
Claude@claudeai

Memory is now available on the free plan. We've also made it easier to import saved memories into Claude. You can export them whenever you want.

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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 Oracle’s Larry Ellison told investors his plan: every body cam, doorbell cam, dash cam, and drone feeds into one AI system that watches everything in real time. Cops can’t turn cameras off, and AI flags incidents automatically. The twist → it’s not just watching police, it’s watching you too. All those feeds get analyzed by AI on Oracle’s servers, not your local government’s. Instead of police chases → autonomous drones just lock onto your car and follow you. No human decision needed. The company pitching this built its first database for the CIA and holds $320B in government contracts → so the infrastructure is already halfway there. No law was passed. No vote happened. A private corporation is just selling total surveillance as a product to the agencies that can deploy it. Big idea: When one company builds the eye that never blinks and sells it to the people with guns and badges, “keeping you safe” and “keeping you controlled” become the same feature.
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StockMarket.News
StockMarket.News@_Investinq·
The second richest man on Earth just told a room full of investors exactly how he plans to WATCH you. Every minute and every day of your life. Larry Ellison, co-founder of Oracle, a $320 billion government contractor stood in front of financial analysts and said the quiet part out loud. "Citizens will be on their best behavior because we're constantly recording and reporting everything that's going on." Read that again slowly. Here's the system he described: Every police body camera in America streaming 24/7 to Oracle's cloud and officers can't turn them off. The camera is always recording. But here's the twist. It's not humans watching the footage, it's AI. Oracle's artificial intelligence monitors every feed in real time. If something happens, a shooting, an altercation, excessive force, AI flags it instantly. An alarm goes off and the chief of police is notified in seconds. "Every police officer is going to be supervised at all times," But he didn't stop there. He said the same system watches citizens too. Doorbell cameras, dash cams, security cameras, traffic cameras, drones overhead. All feeding into one AI-powered network, all analyzed in real time and is on Oracle's servers. And about those drones. Ellison says high-speed police chases should be eliminated, no more patrol cars. Just a drone that locks onto your vehicle and follows you. "It's very simple," he said, "in the age of autonomous drones." So who controls this system? Not you or your local government. Oracle. A private corporation with deep ties to the CIA, the Pentagon, and intelligence agencies around the world. A company whose founder built his first database for the Central Intelligence Agency. The same company now pitching itself as the infrastructure backbone of total surveillance. Critics are calling it a real-life 1984, the ACLU flagged it. But Larry Ellison isn't worried about any of that. He's worried about closing the deal. "There are so many opportunities to exploit AI," he told the room. This isn't a debate about whether AI can help policing, it can. The question is what happens when a private company builds a system designed to watch 330 million people and calls it a product. No vote was taken, the law was passed, and no citizen was consulted. Just one billionaire, one investor meeting, and one vision for a world where everyone is watched and told to behave.
StockMarket.News@_Investinq

Oracle just told every AI company on earth the same thing. Your models are worthless. Not the technology, talent or the billions spent training them. But the data they were trained on. Larry Ellison, the man who built Oracle into the backbone of global enterprise just dropped a bombshell. He said ChatGPT, Gemini, Grok, and Llama, all of them are training on the exact same data.​ The entire public internet, every Wikipedia page, Reddit thread and every news article. That means they're all converging essentially becoming the same product with different logos.​ Ellison's word for it is commodities. But here's where it gets dangerous. He says the real gold isn't public data, It's private data.​ The medical records in hospital systems, the financial data in bank vaults. The supply chain secrets of every Fortune 500 and guess where most of that data already lives. Not Google, Amazon or Microsoft but inside Oracle.​ Oracle databases hold most of the world's high value private enterprise data. So Oracle just launched something called AI Database 26ai.​ It lets the top AI models, ChatGPT, Gemini, Grok, Llama reason directly over a company's private data, without that data ever leaving the vault.​ They're using a technique called RAG, Retrieval Augmented Generation. The AI doesn't train on your data, it searches it in real time.​ Think about what that means. A bank could ask AI to analyze every loan it's ever made without exposing a single customer record. A hospital could have AI diagnose patients using its full medical history without violating HIPAA.​ A defense contractor could let AI reason across classified operations without data leaving a secure environment.​ Ellison is betting this is bigger than the training market. Bigger than the GPU boom. Bigger than the data center buildout.​ He called it the largest and fastest growing market in history.​ The numbers back the ambition. Oracle's remaining performance obligations just hit $523 billion. That's contracted revenue not yet delivered and $300 billion of it comes from OpenAI alone.​ Cloud revenue hit $8 billion in a single quarter, OCI grew 66 percent and GPU revenue surged 177 percent.​ But here's the part nobody's talking about. If private data becomes the real AI moat, then whoever controls the database controls the future of AI.​ And that's a level of power that should make everyone uncomfortable.

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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 OpenAI cut a deal with the Department of Defense. People freaked out. Now they’re adding explicit language saying the AI can’t be used to spy on Americans — including buying data brokers’ info to track people. They’re also drawing a line → NSA and other intel agencies don’t get access unless a whole new contract is negotiated separately. Sam’s basically saying “we want a seat at the table, not to BE the table.” The government makes decisions, OpenAI advises. He even said he’d go to jail before following an unconstitutional order. The honest part → he admitted dropping this deal on a Friday was a mistake. Complex stuff needs clear communication, not a news dump before the weekend. He also said Anthropic shouldn’t be cut out and should get the same terms. That’s notable — publicly defending your competitor signals this is about industry norms, not just one company’s deal. Big idea: The real story isn’t that OpenAI is working with the military — it’s whether the guardrails they’re writing down actually have teeth when it matters.
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Sam Altman
Sam Altman@sama·
Here is re-post of an internal post: We have been working with the DoW to make some additions in our agreement to make our principles very clear. 1. We are going to amend our deal to add this language, in addition to everything else: "• Consistent with applicable laws, including the Fourth Amendment to the United States Constitution, National Security Act of 1947, FISA Act of 1978, the AI system shall not be intentionally used for domestic surveillance of U.S. persons and nationals. • For the avoidance of doubt, the Department understands this limitation to prohibit deliberate tracking, surveillance, or monitoring of U.S. persons or nationals, including through the procurement or use of commercially acquired personal or identifiable information." It’s critical to protect the civil liberties of Americans, and there was so much focus on this, that we wanted to make this point especially clear, including around commercially acquired information. Just like everything we do with iterative deployment, we will continue to learn and refine as we go. I think this is an important change; our team and the DoW team did a great job working on it. 2. The Department also affirmed that our services will not be used by Department of War intelligence agencies (for example, the NSA). Any services to those agencies would require a follow-on modification to our contract. 3. For extreme clarity: we want to work through democratic processes. It should be the government making the key decisions about society. We want to have a voice, and a seat at the table where we can share our expertise, and to fight for principles of liberty. But we are clear on how the system works (because a lot of people have asked, if I received what I believed was an unconstitutional order, of course I would rather go to jail than follow it). But 4. There are many things the technology just isn’t ready for, and many areas we don’t yet understand the tradeoffs required for safety. We will work through these, slowly, with the DoW, with technical safeguards and other methods. 5. One thing I think I did wrong: we shouldn't have rushed to get this out on Friday. The issues are super complex, and demand clear communication. We were genuinely trying to de-escalate things and avoid a much worse outcome, but I think it just looked opportunistic and sloppy. Good learning experience for me as we face higher-stakes decisions in the future. In my conversations over the weekend, I reiterated that Anthropic should not be designated as a SCR, and that we hope the DoW offers them the same terms we’ve agreed to. We will host an All Hands tomorrow morning to answer more questions.
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 Your brain has a “sweet spot” where you do your best work — not too bored, not too stressed. That’s called the flow channel. Most people protect that zone by staying comfortable → small challenges, small growth, small results. The hack is counterintuitive: deliberately take on 10-100x more responsibility than feels sane. Your nervous system panics, then adapts — building new neural pathways just to survive the load. Then you drop back to normal. Suddenly your old workload feels like lifting a feather after carrying a boulder. Your capacity is permanently stretched — like a rubber band that doesn’t snap back to its original size. The catch most people miss → the overload has to be focused in one domain with real consequences, not busy work spread across random projects. One impossibly heavy backpack beats ten medium ones. Big idea: You don’t grow by gradually adding weight — you grow by taking on something so absurd it forces your biology to unlock reserves you didn’t know existed, then you keep those upgrades forever.
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 Gold and Bitcoin both claim to be “safe havens.” But since April 2025, gold is up 60% while Bitcoin is down 30%. That tells you everything. When wars escalate, gold surges → Bitcoin drops. When stocks sell off, gold holds → Bitcoin sells with them. It trades like a tech stock wearing a gold costume. The narrative always follows the price. At $126K everyone called Bitcoin “digital gold.” At $66K with 5 red months, nobody mentions that thesis anymore. Central banks bought 863 tonnes of gold in 2025 — fastest pace in decades. Nobody is buying Bitcoin for sovereign reserves. That’s the institutional tell. Bitcoin acts like protection only when everything else is already going up. In a world with real geopolitical risk, a weakening dollar, and central banks hedging — you want the asset that’s done the job for 5,000 years. Big idea: Gold survived empires, Bitcoin survived Twitter — and when real crisis hits, the market shows you which one is actually insurance and which one is just cosplaying.
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George Noble
George Noble@gnoble79·
Gold since April 2025: +60% Bitcoin since April 2025: -30% Gold since its January high: still near all-time highs. Bitcoin since its October high: -48%. 5 consecutive red months for Bitcoin. A 0.55 correlation with the S&P 500 as of March 1st. And people still call it "digital gold." Let me explain why that framing will cost you money: When the Middle East escalated, gold surged above $5,300. Bitcoin dropped. When equities sold off, gold held. Bitcoin sold with them. When uncertainty spiked, gold hit all-time highs. Bitcoin bled. This isn't an accident. It's the nature of WHAT these assets actually are. Gold is an asset that isn't somebody else's liability. It's not correlated with the general level of risk assets. It doesn't shift identities depending on what the market needs it to be that week. Bitcoin does. Sometimes it's digital gold. Sometimes it's correlated to NASDAQ. Sometimes it follows the dollar. Sometimes it follows liquidity. It depends on whatever narrative is convenient at the time. And narrative always follows price. That's the way it works. When Bitcoin was ripping to $126,000 in October, everyone called it a store of value. Now that it's trading at $66,000 with 5 red months, NOBODY talks about the digital gold thesis anymore. Gold doesn't have that problem. Central banks bought 863 tonnes of gold in 2025. Accumulating at the fastest pace in decades. China is buying like crazy for months. Nobody's buying Bitcoin for their sovereign reserves. Nobody's rewriting the gold thesis every quarter. I said this on back in April last year when Bitcoin was reclaiming $90,000 and everyone wanted me to be bullish on crypto: "If NASDAQ takes a header, if risk assets take another leg down, you want to bet Bitcoin goes up or down? I'd vote down." NASDAQ took a header. Risk assets took a leg down. Bitcoin went down. Gold went up. It's not complicated. Gold is insurance against irresponsible policies from central bankers and government officials. It protects you against the falling dollar. It's been doing this for 5,000 years. Bitcoin is a speculative instrument that acts like protection only when everything else is going up too. And in the environment we're heading into (geopolitical risk at generational highs, the dollar under pressure, central banks still buying, the Fed boxed in on rates) you want the real thing. Not the imitation. GOLD SURVIVED EMPIRES BITCOIN SURVIVED TWITTER
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 A Trump ally just publicly broke ranks over Iran, and the argument is simple → Americans are drowning in debt, can’t afford insurance, and live paycheck to paycheck, so why are we spending blood and treasure on another Middle East war? The core tension: “America First” was the brand promise. War in Iran is the opposite of that promise. When your own base starts saying it out loud on camera, that’s not media spin — that’s a real fracture. Here’s the pattern that matters → every modern Middle East conflict started with “it’ll be quick” and ended with years of escalation, trillions spent, and zero benefit to average Americans. 72% can’t afford health insurance but we can afford another war? That contradiction is what breaks political coalitions. People tolerate a lot, but not hypocrisy they can feel in their wallet. Big idea: Wars don’t stay contained and neither does the political fallout — when the base feels betrayed, the realignment happens fast.
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Holden Culotta
Holden Culotta@Holden_Culotta·
MTG just went absolutely nuclear on Trump’s war in Iran. “We’re in another fucking war, and American troops are being killed.” “We need to have a serious conversation about what the fuck is happening to this country.” “72% of Americans can’t afford health insurance.” “58% of Americans can’t afford car insurance.” “67% of Americans live paycheck to paycheck.” “31% of Americans can’t afford their back taxes.” “50% of Americans are in credit card debt.” “We are nearly $40 trillion in debt.” “Most Americans are completely against this war.” “Make America Great Again was supposed to be America first, not Israel first.” “And our President is saying that the Iranian people are all of a sudden going to topple their regime.” “Well, I don’t think the Iranian people are going to be toppling their regime when they’re getting blown apart by the US and Israel in an unprovoked attack.” “I am furious.” “We have seen enough of our American troops dead and murdered for foreign countries.” “Now, we have four more dead … for Israel.” “Trump already said … today that he doesn’t care about the polling.” “He doesn’t care about what the American people think.” “And he may put troops on the ground.” “The man that I supported … denounced what happened in Iraq, said no more foreign wars, no more regime change.” “JD Vance promised it.” “Tulsi Gabbard promised it.” @FmrRepMTG @mtgreenee @megynkelly
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 Jack Dorsey just fired 4,000 people from Block — not because business is bad, but because AI made them unnecessary. His exact words: business is strong, profit is growing. He just doesn’t need the humans anymore. Here’s the chain → AI tools get good enough to replace whole teams → one person with AI does what three did in 2023 → companies realize they’re overstaffed → mass cuts begin. Dorsey said he could have done it slowly so nobody noticed. He chose to rip the bandaid. Other CEOs are doing the slow version right now. This splits the workforce into two groups. Group 1 uses AI like a fancy Google search and gets a marginal boost. Group 2 builds systems and automations that run without them. Dorsey kept Group 2 and cut Group 1. Every company will do this — the only variable is timing. The survival move isn’t “learn to prompt better.” It’s → audit your daily tasks → automate the repetitive ones → build something new that didn’t exist before → then TELL your boss what you built. The person who deploys AI as infrastructure is the last one cut. What AI still can’t touch → real relationships, strategic judgment about what matters in YOUR specific context, deciding what should exist vs. just building what’s asked for, and navigating the messy human politics of getting orgs aligned. Big idea: The window to become the person who deploys AI — not just uses it — is open right now, and every month you wait, the bar gets higher.
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 The best-performing ads right now look like they're not ads. One person, one camera, talking like they're texting a friend — no crew, no set, no polish. It works because your brain dismisses ads before they finish loading. → If it looks native, your guard stays down. → By the time the product appears, you already trust the person. The formula is 4 steps: hook that stops the scroll → specific problem they actually feel → product as the natural solution → soft CTA that doesn't beg. The kill shots: leading with the product, weak openers, or vague problems. "I felt tired" = nobody. "These were never allowed in my house growing up" = everyone stops. Brief the creator on the skeleton, then get out of the way. Over-scripting kills the thing that makes it work. Big idea: In a world drowning in polished ads, looking real is the most expensive thing you can fake.
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Zac Johnson
Zac Johnson@zacjohnson·
Best path to success in 2026?
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 Ads rent attention. Distribution owns it. One stops the second you stop paying. The other keeps working while you sleep. Every post you publish is a tiny asset → it compounds → it makes every future ad dollar work harder → your customer acquisition cost drops permanently. Founders with audiences don't need to cold pitch. Clients show up already trusting them → shorter sales cycles → higher conversion → better exit multiples. AI is killing SEO and paid traffic is getting more expensive every quarter. The only channel nobody can take from you is a direct relationship with your audience. Big idea: In a world where attention is the scarce resource, the founder who owns distribution owns the business — everything else is just renting.
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 5 AI agents now do what a $12k/month content team used to do — research, writing, design briefs, trend spotting, and performance tracking. Each agent has one job → does it better than a human → feeds results to the next agent → the whole system compounds instead of breaking down. The key unlock: agents trained on YOUR data (your top posts, your ICP docs, your engagement history) → output that actually sounds like you, not generic AI slop. No more briefing writers, waiting on revisions, or guessing what content works. The system tells you what's trending before it peaks and why your last post flopped. Big idea: The $12k content team wasn't replaced by AI — it was replaced by one person who knew how to direct AI.
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Yann
Yann@yanndine·
5 AI Agents running our entire social media operation. These are the 5 Claude agents we use to replace a $12k/month content team. I used to spend hours briefing writers, waiting on revisions, and watching engagement tank because nobody actually understood the ICP. Which hooks were working. What topics the audience actually wanted. How to turn a post into pipeline. Now? 5 Claude agents handle everything - built in Claude Code, connected directly to Notion. The agents: 1. Lead Magnet Engineer Reads your ICP docs, brand guidelines, and tool stack directly from Notion - then builds complete playbooks and creates them in your Draft database automatically. Outputs: → Full lead magnet in Notion format - ready to publish, no editing needed → Tool recommendations pulled from your actual stack → Brand voice matched to your guidelines → Notion link delivered the moment it's done → 2. Social Media Expert Trained on your top 50 posts with real engagement data. Generates 3-5 LinkedIn post variations per topic, picks the strongest one, and explains exactly why it will outperform the others. Outputs: → Hook variations scored against your own engagement benchmarks → Post structure following proven 1-3 line paragraph format → CTA matched to goal - lead magnet, authority, or engagement → Gut-check: flags anything that sounds like ChatGPT wrote it 3. Creative Director Generates complete design briefs - not vague direction, but exact dimensions, text placement, color codes, and ready-to-use Midjourney prompts your designer or AI tool can execute immediately. Outputs: → LinkedIn preview briefs at 1200x627px with full copy hierarchy → Lead magnet covers and workflow diagrams → Before/after comparisons and tool stack visualizations → Designer-ready brief so there's no back and forth 4. Research Analyst Analyzes your LinkedIn post CSV and surfaces rising topics with momentum before they peak. Spots competitor gaps. Pulls ICP pain points directly from comment sections. Outputs: → Daily or weekly trend report with momentum status per topic → Specific tactical angles your competitors haven't covered yet → Content format recommendations with shelf life estimates → "4 posts in 48hr on AI agent pricing, 2.3x engagement, zero comparison frameworks published" - that level of specific 5. Performance Tracker Turns raw engagement data into actual decisions. Not "this post got 500 reactions" - but "contrarian hooks outperform your baseline, double AI content, kill generic LinkedIn advice." Outputs: → Top and underperformer breakdown with pattern analysis → Next 7-day content calendar with optimal posting rhythm → CTA response rates by type → Specific recommendations fed back to each agent for the next cycle If you run content, manage a team doing outbound, or post on LinkedIn to generate pipeline - this replaces your entire social media setup overnight. Comment "AGENTS" and I'll send you the full system - All 5 Claude project instructions, Notion integration steps, and copy-paste input formats so you can have it running today.
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 Markets panicked at headlines and spiked oil prices hard at the open. Smart money saw the reality → this isn’t an escalation that disrupts global supply → so they sold the spike. Oil gave back 70% of the move in hours. That’s the market telling you this is noise, not signal. Every geopolitical scare follows the same pattern: spike, panic, fade. The traders who win are positioned before the headline, not reacting after it. Big idea: When oil can’t even hold a fear trade for one session, the market is telling you louder than any pundit — this isn’t the big one.
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: Oil prices officially drop back below $70/barrel, now up just +3.5% on the day. Oil markets have now erased nearly 70% of their opening move higher. This is NOT World War 3. Ignore the noise.
The Kobeissi Letter tweet media
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Zac Johnson
Zac Johnson@zacjohnson·
No BS breakdown (ELI5): 👶🧠 Every tech wave creates a short window where early movers lock in huge salary premiums before the crowd shows up. Web dev in 2000, digital marketing in 2010, no-code in 2020. Right now it’s AI workflow skills. The key roles aren’t technical — they’re operational. Designing where AI fits in a business process, building automations with tools like Make or n8n, curating the data that makes AI actually useful, and QA’ing AI output before it embarrasses the company. None of this requires coding or degrees. It requires doing → pick one process at your job, map it, automate it, document what breaks. Do that 5-10 times and you know more than most consultants charging $300/hr. The catch: 95% of people will read this, nod, and do nothing. By the time these roles are on LinkedIn job boards with “$200K” attached, the people who started in 2025-2026 will have years of reps and the window slams shut. Big idea: The six-figure premium isn’t for knowing AI exists — it’s for having 18 months of proof that you can make it work inside a real business.
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