Viridis Technologies

@X_FINALBOSS X

I'm EXPOSING how Shelby Sapp is making $4.9M/month selling sales mentorship online (thread) Preview stats: - $5,000,000 cash collected in January 2026 alone - #1 female sales trainer online - #1 largest sales academy for women - 40+ YouTube videos posted - 50,000+ Discord members - 3 pinned reels on feed, 3 pinned reels on reels tab = 6 total conversion assets on page arrival - 3 story highlight sections, 100% student wins - Live webinar running multiple times per week - 60 min content + 30 min Q&A close every single webinar - 24hr, 12hr, 1hr, 30min, 5min pre-call reminders via email AND WhatsApp - $4,000+ per student, hundreds of students per month - Setter + dialer hitting every qualified lead within hours of applying Here's her exact funnel broken down: 1) TRAFFIC She runs 4 content channels simultaneously: Instagram main — bio does 90% of the trust-building before a single reel is watched. Claims #1 female sales trainer and #1 largest sales academy for women in 2 lines. Instant authority. Live master class CTA pinned at the top drives cold traffic into the funnel the second they land. Zero confusion about who she is and who she serves. Top of funnel reels — Milan, Lake Como, wedding venue tours, Epstein files commentary. Nothing to do with sales. Pure views. Pulls in people who would scroll past a sales reel entirely. These videos pull 100K-240K+ views because they speak to everyone, not just her ICP. Middle of funnel reels — introduces high-ticket sales as the mechanism without ever naming the offer. "Your dad bought a house on a 50K salary, you won't." Every lifestyle and mindset topic transitions back to high-ticket sales as the only logical solution. Plants the seed across thousands of viewers per video. Bottom of funnel reels — frame control, objection handling, 10 sales lessons, 6 objection handling techniques in 60 seconds. These pull 57,000 views per video on average. Way less than the 240,000 views on the lifestyle content. But the 57K are 100% her ICP. These videos are the ones printing $5M months. TikTok — straight reposts of Instagram content. Zero extra effort. Every video gets a second life and a second audience with 0 additional production time. 2) LEAD GENERATION One funnel. Running on repeat multiple times per week. Free Live Master Class — "Learn how to get into high-ticket sales" → name, email, phone number → live countdown timer to next session → thank you page with personal video → added to email list immediately → nurture sequence fires automatically The landing page has 5 conversion mechanisms built in: countdown timer creates urgency to the next live session, explicit ICP filter removes unqualified leads before they waste closer time, personal story section makes the $5M result feel achievable from zero, social proof stacked throughout the page, dual CTA at top and bottom so no one has to scroll to convert. The Discord twist — 50,000 person server where you spend 15-20 seconds loading and feeling invested before they ask for your name, email, and phone number. You cannot access the server without giving all 3. 50,000 people gave full contact info just to join a free community. 3) NURTURE Pre-webinar email sequence fires within seconds of opt-in: 3 confirmation emails sent immediately upon signup. Same excited tone across all 3. Each one previews a different piece of what they'll learn on the webinar. Builds FOMO from the first minute after opting in. Daily reminder emails sent from signup through webinar day. Every email includes a different student case study or testimonial. By the time the webinar starts the average lead has received 5-7 emails and consumed multiple hours of her content without watching a single paid piece. The thank you page video alone handles 4 jobs: acknowledges the opt-in action to reinforce momentum, restates the core promise to prevent drop-off, previews the exact 4-step sequence they'll learn, and drives the micro-commitment to actually show up live. Phone list called within 2 hours of opting in. Studies show contact rate drops 80%+ after the first hour. Her team is on the phone before the lead has forgotten they signed up. 4) THE WEBINAR The entire sales machine runs through a single 90-minute event repeated multiple times per week. 60 minutes — reveals a 4-step sequence for getting into high-ticket sales. Pure content. No pitch. By minute 60, the audience has self-identified as the ICP, consumed a full mechanism walkthrough, and attributed the result to Shelby specifically. 30 minutes — Q&A, stacking, and closing. By this point she isn't pitching. She's just confirming what people already decided during the content half. The close rate on a properly warmed webinar audience runs 3-5x higher than a cold sales call. End of webinar → Typeform application. 8-10 questions extracting: commitment level, specific desires, current roadblocks, income, budget, decision-making authority, and contact information for the setter team. Every question is engineered to increase psychological investment before a closer ever dials. 5) PRE-CALL SEQUENCE Once qualified and booked, 5 touchpoints fire before the closer speaks a single word: 24 hours before — unreleased student case study + calendar reminder 12 hours before — mechanism breakdown video + reminder 1 hour before — reminder 30 minutes before — reminder 5 minutes before — call link Running simultaneously across email AND WhatsApp. By the time they pick up the phone they've watched 3-4 additional pieces of content, seen 2-3 more student wins, and mentally rehearsed joining the program. The closer just has to not mess it up. 6) THE SALES CALL Every application tracked in the sales CRM. Setter qualifies, closer closes, everything recorded, every metric logged: - Show rate - Close rate - Cash collected per call - Objection breakdown - Lead source - Follow up status No-shows get double-dialed immediately after the missed call, then contacted every 2-3 days via text and email until they reschedule or explicitly opt out. Non-closes get a 7-day nurture window with daily emails and SMS touchpoints before a follow-up call is attempted. Nothing leaks out of the pipeline. Every lead is worked until it converts or dies. If you qualify → She Sells Academy at $4,000+ If you no-show → double dial plus relentless follow up If you don't qualify → filtered at the Typeform before a closer wastes a single minute 7) THE RESULT $5,000,000 cash collected in January 2026 from a single coaching offer. No agency. No SaaS. No complicated tech stack. Views → webinar opt-ins → applications → calls → closes. Repeated multiple times per week, every single week, on near-complete autopilot. The secret isn't the webinar. It isn't the pre-call sequence. It isn't even the setters and dialers. It's the niche so specific that every single piece of content speaks directly to 1 person : the woman who wants the Porsche Pilates lifestyle and already suspects that high-ticket sales is how she gets there. Shelby just confirmed it 240,000 views at a time. I've been studying funnels like this for years. I now do $400K+ per month selling digital products/services on X. I copied her and now I have the EXACT same model but different niche and different platform. If you want my full 2 hour breakdown of exactly how you can build it too, Comment "X" below and I'll send it to you completely free. *retweet and follow required to receive

@SSarker34315 @expertwith_AI Kids

Kids animation is the most underrated money niche on YouTube 💸 No face. No voice needed. No trends. Just stories + consistency. One channel: 721K subs 24 videos This is not luck. It’s niche selection. Want the blueprint? Comment “KIDS” 👇 Follow me🙏

@codewithimanshu Claude

I made $27,000 in 15 days by setting up Claude Code & OpenClaw Trade Setup for non-technical users. You can also do this, in simple steps. I’ve prepared the exact step-by-step guide. Normally priced at $799, but it's free for 24 hours. To get it: 1. Comment "Trade", I will send you in DM. 2. Like and Retweet this post. You only need, Claude + 1 laptop + 2 hour/day to make $2,000/day. You Must Follow me @codewithimanshu, so i can DM you.

@X_FINALBOSS How

I went to a private millionaires–only mastermind with 12 young entrepreneurs selling digital products and info, each person making 7 to 9 figures per year (in LA, Beverly Hills) I've never felt so behind and broke even tho im making millions already people were making millions with ebooks and courses on a variety of topics/niches: Ecom, Tik Tok shop, websites, etc I've gathered some secret business methods including : 1) how they're getting millions of views per week 2) converting those views into $3K+ sales daily 3) how to automate the entire thing and build systems 4) breakdown example of posts and products sold 5) show you how many sales, sales calls, entire funnel 6) case studies : how complete beginners scaled to $100K+ per month within 8 months with the right methods 7) and how you can get started :) comment "HOW" if you want this must be following + retweet to receive

@jordan_ross_8F Marketing

Anthropic ran their entire marketing operation with one person. $380 billion company. Paid search. Paid social. SEO. Email. App stores. One non-technical hire doing all of it — for 10 months. I pulled it apart. Compared it to every system we've built across the clients we've worked with. Then asked myself one question: If I had to reverse engineer this from scratch — what would it actually look like? Turns out the architecture isn't that complicated. I mapped the whole thing into a 47-page PDF you can upload directly to any LLM. It coaches you through building your own version step by step. Comment "marketing" and I'll send it over.

@codewithimanshu MONEY LFG!!!

Made $313 → $2,382,780 in 4 Days Using a Claude AI Bot on Polymarket. 26,738 trades. 98% win rate. Full blockchain proof. Every single trade verifiable on-chain. I've made the exact step-by-step guide to build this Claude Polymarket bot from scratch. You've been trading for 3 years. Still red. He gave Claude $313. Woke up rich. Free for 24 hours. To get this Setup guide: 1. Comment "Money" 2. Like and Retweet 3. Follow me @codewithimanshu (so i can DM you) Full 2-hour video tutorial attached. Every single click and command explained. Beginner to running bot. Now let me break down exactly how this works. Save this post. This is the most important trading breakdown you'll ever read. ↓ Let's start with the number that should make you sick. $313. That's what this wallet started with. Not $50,000. Not $10,000. Not even $1,000. $313. Less than your monthly Netflix + Uber Eats + Spotify combined. 4 months later: $2,382,780.80. That's a 7,942x return. While you spent those same 4 months staring at charts, drawing trendlines, panic selling, revenge trading, and ending the month exactly where you started. Minus the $200 you lost on that "sure thing." Same 4 months. Same market. Same opportunities. He had a bot. You had feelings. Guess who won. Save this post right now. What I'm about to explain is the exact mechanism behind every dollar of that $2.38M. Follow @codewithimanshu so you don't miss the rest. ↓ How Polymarket actually works and why bots print money on it. Polymarket is a prediction market. Will BTC be higher in 15 minutes? Yes or No. Will the Fed raise rates? Yes or No. You buy shares between $0 and $1. If you're right, your share settles at $1. If you're wrong, it settles at $0. Simple. Now here's where it gets interesting. Polymarket updates its prices SLOWER than the real market moves. When BTC drops 0.6% on Binance, Polymarket still shows old odds for about 2.7 seconds. 2.7 seconds. In those 2.7 seconds, the bot already knows the outcome. It's not predicting. It's not guessing. It's reading information that already exists and trading before Polymarket catches up. That's not trading. That's collecting free money with a 2.7 second head start. And you're over there using a 15-indicator TradingView setup trying to "predict" where BTC goes next. The bot doesn't predict anything. It just reads faster than you. That's the entire edge. Save this post because if you understand this one concept you understand how millionaires are being made on Polymarket right now. Follow @codewithimanshu for more breakdowns like this. ↓ Let me walk you through one single trade. A new 15-minute BTC contract opens on Polymarket. Odds are 50/50. Fair price. 10 minutes in, BTC drops 0.6% on Binance. Hard, fast move. The real probability of BTC being lower at expiry is now about 78%. Polymarket still shows 54/46. The bot sees this instantly. Binance WebSocket feed. Under 50ms latency. The edge is 24 percentage points. On a binary contract, that's basically free money. Bot calculates position size using Kelly Criterion. Executes via Polymarket's API. Done. Within 2-3 seconds, other participants update the odds. 54/46 moves toward 78/22. Bot either exits for immediate profit or holds to resolution. Either way, the trade was entered with near-certainty of a positive outcome. Now repeat this 200-500 times per day. $313 → $2,382,780 in 4 months. Not magic. Not prediction. Not luck. Industrial-scale exploitation of a market inefficiency that still exists today. And you're still placing one manual trade per day and calling yourself a "trader." This is the mechanism behind every single dollar. Bookmark this post so you can study it again. Follow @codewithimanshu because I'm breaking down each strategy separately. ↓ There are 4 strategies. Not all Claude bots do the same thing. Strategy 1: Latency Arbitrage. Win rate: 85-98%. What 0x8dxd used. Monitor Binance price feeds. When Polymarket odds lag behind reality by 3-5%, buy the correct side before the market corrects. No forecasting. No model. No sentiment analysis. Pure speed. You're not guessing. You're reading an outcome that has already happened. Strategy 2: Oracle Arbitrage. Win rate: 78-85%. Chainlink oracle price feeds occasionally diverge from Polymarket's implied prices. When they do, the settlement direction is known. Fewer opportunities. Higher certainty when they appear. Strategy 3: News-Driven Trading. Win rate: 60-75%. Claude ingests real-time news. Government filings. Central bank statements. On-chain data. Assesses probability impact before retail traders even finish reading the headline. Lower win rate because interpretation introduces uncertainty. But works on ANY market category, not just crypto. Strategy 4: Market Making. Return: 2-5% per month. Place buy and sell orders on both sides. Capture the spread. No prediction required. Most consistent. Hardest to blow up. Compounds aggressively over time. You didn't even know there were 4 strategies. You thought "trading bot" meant one thing. That's how far behind you are. 4 strategies. 4 different risk profiles. 4 ways to make money while you sleep. Save this post. Follow @codewithimanshu for the deep dive into each one. ↓ The timeline that should haunt you. December 2025: Bot launches with $313. Nobody notices. January 6, 2026: Wallet hits ~$438,000. 140x in 30 days. 6,615 predictions. 98% win rate. Finbold reports it. Crypto Twitter explodes. March 10, 2026: Head-to-head test. Claude bot: $1,000 → $14,216 in 48 hours. +1,322%. OpenClaw bot: fully liquidated. Same market. Same timeframe. Claude won because of better risk management. OpenClaw died because it overleveraged. March 16, 2026: Someone trains a swarm model on 3 years of NBA data. Result: +$1.49M on Polymarket. April 2026: 0x8dxd final verified balance: $2,382,780.80. 26,738 trades. 4 months. This all happened while you were "waiting for the right time to start." The right time was December 2025. The second best time is right now. But you'll probably wait until it's too late. That's what you always do. Every date on this timeline is a day you could have started but didn't. Save this post. Follow @codewithimanshu so you at least start today. ↓ Why Claude and not ChatGPT? This isn't opinion. It's data. March 2026 head-to-head: Claude bot: +1,322%. OpenClaw (GPT-based): liquidated. Same prompt. Same market. Same conditions. Researchers found Claude's code included: > More defensive edge cases > More conservative default parameters > Better error handling > More legible code for debugging > Proper Kelly Criterion position sizing > Hard drawdown kill switches ChatGPT's code overleveraged into a losing sequence and couldn't recover. Claude's code sized positions conservatively, stopped trading when drawdown thresholds hit, and survived to compound another day. The difference between +1,322% and liquidation wasn't the strategy. It was the risk management. And Claude writes better risk management than ChatGPT. That's not a debate. That's a $15,216 difference in 48 hours. But sure, keep using ChatGPT because "everyone uses it." Everyone's broke too. Coincidence? Stop using the popular tool. Start using the profitable one. Save this post. Follow @codewithimanshu for more Claude vs ChatGPT comparisons with real data. ↓ Why humans lose to bots. Every single time. Same strategy. Same market. Same period. Bots: ~$206,000 profit. Humans: ~$100,000 profit. 2x gap. Same strategy. Here's why: 1. Late entries. By the time you identify the lag, verify your reasoning, and click buy, the 2.7 second window is gone. The bot executes in under 100ms. You execute in 30 seconds. The opportunity doesn't exist for 30 seconds. 2. Emotional sizing. You oversize when "confident." Undersize when scared. Exact opposite of Kelly math. The bot sizes based on edge. Every time. No feelings. 3. Fatigue. You make worse decisions at hour 6 than at hour 1. The bot makes the same decision at hour 72 that it made at hour 1. 4. Drawdown psychology. After 3 losses you either panic quit or double down trying to recover. Both destroy capital. The bot has a kill switch. It stops. It doesn't feel anything. You're not competing with other humans anymore. You're competing with machines that don't sleep, don't feel, don't flinch. And you're losing. The data doesn't lie. Humans lose to bots 2x on the same strategy. Save this post. Follow @codewithimanshu for the complete bot setup that removes you from the equation. ↓ What can go wrong. Because I'm not going to lie to you. Most people who build this bot will NOT 7,942x their money. Some will lose their initial capital. Here's what can kill you: Edge compression. The arbitrage window was 12 seconds in 2024. It's 2.7 seconds now. It's shrinking. At some point it hits zero for retail operators. This is a time-limited opportunity. Not a permanent income stream. Rule changes. Polymarket can change contract mechanics, settlement rules, or API terms overnight. What worked yesterday can lose money tomorrow. Risk management bugs. A 98% win rate strategy with broken position sizing will blow up your account on the one losing trade. The March 2026 experiment proved this. Claude survived. OpenClaw got liquidated. Same strategy. Different risk management. That's why the 2-hour video tutorial walks through every single risk parameter. Because the strategy doesn't kill you. Bad risk management kills you. This is the section most "gurus" delete. I'm keeping it because I'd rather you make money safely than blow up and blame me. Save this post. Follow @codewithimanshu for honest breakdowns, not hype. ↓ The step-by-step to build your own. Step 1: Set up a Polymarket wallet. Fund with USDC via Polygon network. Start with $100-$300 for testing. Step 2: Generate API credentials. CLOB API key from docs.polymarket .com. Store private key in environment variable. Never hardcode it. Never share it. Step 3: Prompt Claude to build the bot. Use Claude Code for best results. It reads your filesystem, executes code, and iterates on errors autonomously. Step 4: Paper trade for at least one week. Minimum 200 completed trades. Win rate must be above 70% before going live. This step is NOT optional. Step 5: Configure risk management. Max single position: 8% of portfolio. Daily loss limit: -20% with auto halt. Kill switch at -40% drawdown. Telegram alerts on every threshold. Step 6: Go live small. $1-5 per trade. Watch every trade for first week. Compare to paper results. Scale only on evidence. Skip steps 4 and 5 and you will lose your money. That's not a warning. That's a guarantee. This is your complete build guide. Save this post. Follow @codewithimanshu because I'll be posting the exact Claude prompts for each strategy. ↓ The edge exists right now. Not next month. Not "when you're ready." Right now. The arbitrage window is 2.7 seconds. It was 12 seconds in 2024. It's shrinking every week. Every day you wait, more bots enter the space. The window gets smaller. Your potential returns get smaller. The bots already running have a compounding advantage. They're making money today that they'll use to make more money tomorrow. You're reading about it and telling yourself "I'll look into this next weekend." That's what you said last weekend. And the weekend before that. The best time to start was 6 months ago. The second best time is today. But you already know you're going to bookmark this and never open it again. Prove me wrong. ↓ Full 2-hour video tutorial attached. Every single click. Every command. Every parameter. From zero to running bot. Beginner friendly. Nothing skipped. A similar bot has already earned $2,382,780. Full blockchain proof in the article below. The video is free. The tools are free. The edge still exists. The only thing that costs money is another month of doing nothing while bots eat every opportunity you're too slow to catch. Follow @codewithimanshu for the complete series covering every automated income stream using Claude. Prediction markets are just the beginning. Save this post. Bookmark it. Screenshot it. Whatever you need to do so you actually watch the video and build the bot instead of just reading about people who did. You Must Follow me @codewithimanshu, so i can send you DM.

@AlfieJCarter AGENT Looks fantastic!

I built 4 GTM agents in Claude Code that replaced hours of manual work per client. Here's the complete playbook for each one: 1️⃣ ICP Research Agent → Receives a company or contact list → Researches firmographic fit and tech stack signals → Scores each account against ICP criteria → Returns a ranked summary with match rating and reasoning → Runs in its own context window - zero bleed into main session 2️⃣ Sequence Builder Agent → Takes a signal type and ICP tier as input → Selects the right channel (LinkedIn, email, or WhatsApp) → Writes a complete multitouch sequence with subject lines → Includes reply handling scripts for each response type → Outputs ready-to-deploy copy without a single manual touchpoint 3️⃣ Campaign Diagnostician Agent → Ingests campaign metrics or sequence performance data → Identifies the most likely failure point in the funnel → Ranks 3 tests by expected revenue impact → Returns exact copy or targeting changes for each test → Tells you what to fix before you burn more of your addressable market 4️⃣ GTM Analyst Agent (my favourite) → Takes any campaign export or data file → Identifies performance trends and flags anomalies → Surfaces a prioritised action list ranked by revenue impact → Stores findings in a persistent project file for future runs → Gets smarter every time it runs - memory: project These agents mean I wake up to: - Prospects already scored and tiered before the day starts - Sequences drafted and ready for review - Campaign diagnosis completed overnight - Data analysis done without opening a single spreadsheet All running inside Claude Code, deployed via Trigger(.)dev, tracked without a human in the loop. The agentic AI market is moving from $7 billion to $93 billion. The agencies that figure this out in the next 6 months will have a cost and speed advantage that's very hard to close. I packaged the entire build into a free playbook - the WAT framework (Workflows, Agent, Tools), sub-agent configs, CLAUDE.md templates, deployment steps, and context management rules. Want the full Claude Code GTM Engineer's Playbook? Reply AGENT below and I'll send it over.

@mikefutia DASH

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

@PetClaw_ai PETCLAW

This used to take a team Now it takes one sentence Build your own workflow. 👇 Comment “petclaw” Join Discord for early access discord.gg/NUTPxSkJSe #PetClaw #AIagent #Claude

Petclaw just replaced my $8k/month influencer marketer for $30 😱 the final spreadsheet was better than the ones i make myself. I only said one thing: go find creators → it opened TikTok → sent emails → organized everything into a sheet didn’t touch the mouse once.

@AlfieJCarter CODE

I put my entire local Claude Code setup into ONE Notion doc 4 steps. No fluff. - How to install Ollama and get it running in under 5 minutes - Which model to pull based on your machine specs (30b, 7b, or 2b) - How to redirect Claude Code away from Anthropic's servers to your local instance - How to start Claude Code fully local with zero API costs and zero data sent externally This is the setup I would have KILLED for before burning API budget on automations that never needed to leave my machine. Like + comment "CODE" and I'll send it over (must be connected for priority access)

@Dylan_txa REDDIT

In less than a year, we managed to get more than 13M organic views on Reddit. It brought over 100,000 people to our website without spending a cent. We put together a Reddit Strategy Playbook that gets me 1M+ organic impressions/month… and makes my posts show up consistently inside AI outputs (ChatGPT, Gemini, etc.). Here’s what’s inside the playbook: 😈 How We grow my SAAS gojiberryAI with Reddit 🔥 The 3+1 post formats that always go viral 🚫 How to get traffic from 100 subs → without getting banned 🔎 Our Reddit SEO method to rank in AI-generated answers ⚡ The automation flows we use to convert views into demos 🏴‍☠️ A little bonus just for you Want the full 1M Views/Month Reddit Strategy (100% Organic)? Here’s how to get it: ✅ Repost this post ✅ Comment “REDDIT” I’ll send it straight to you.

@NickDiFabio1 EBOOK

Self-publishing Ebooks will be the biggest side hustle in 2026: • Can be made with AI in 1 day • Only requires 3-5 hours a week • Can rinse & repeat as many times as you want So I created a Full Guide showing the system I used to make $1M+ with them... I could charge $1000+ for this, but today I'm giving it away for FREE: Like + Comment "Ebook" & I'll DM it to you (Must Follow Me to Get DM)

@WorkflowWhisper USECASE

i spent 3 weeks deploying claude computer use across 8 client accounts here is what actually shipped in march 2026: computer use. claude controls your screen. clicks, scrolls, types. no api needed. claude code mobile. start on laptop, check from your phone. auto mode. stops asking for permission on routine operations. scheduled tasks. workflows run at 3am while you sleep. the result across my practice: a java desktop app from 2009 with zero api. automated in 18 minutes. 15 daily approval prompts. gone. reporting that took 3 hours per client. now 15 minutes. (done with synta(.)io via mcp on claude) 5 to 8 extra billable hours per week. $3,000 to $4,800/month additional revenue. i put together the exact playbook. 8 workflows with prompts, mcp configs, and computer use scripts. comment USECASE and i will send it to you.

@AlfieJCarter GTM

Claude Code is the most powerful GTM execution tool right now. But 90% of GTM teams are still skipping strategy and going straight to prompting. That's why I made The B2B GTM Playbook: 5 Modules from GTM Strategy to Claude Code Agent Teams: → The 6-step GTM strategy framework built from zero to $450M ARR that most founders never build before hiring an agency → How Vercel replaced 10 SDRs with 1 agent at $1K per year with conversion rate held flat → The full Claude Code agent team setup that lets teammates queue tasks and agents execute by priority without you at the keyboard Comment "GTM" and I'll DM it free.

@JamesEbringer AIUGC

$43,800 from a brand new page - in 14 days No face - No voice - No experience AI UGC videos + a $7 template pack + backend MRR Post 2x/day - One blew up - The algorithm did the rest 220 sales/day × $7 = $1,540/day Comment “AIUGC” and I’ll send you the software they use to create the videos