Viridis Technologies

@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

@fin465 GUIDE

Now that we’re done at YCombinator, we’re revealing how we went from 0 → $10k MRR in our first 30 days, using only ONE channel (step by step). We spent less than $100 and didn’t have any paid ads, SEO, waitlist, or content marketing. Instead, we sent 50-75 highly targeted cold emails a day. Cold email is the most underrated channel because it's hard to get right, but if you figure it out you can sell ANY B2B product. Here's what we did from start to finish: STEP 1: Build an ultra‑specific customer profile at both company and person level. If you do this right, you can mess everything else up and still succeed. The goal here is to create such a perfect customer, that if they heard about your solution they would have no choice but to say "tell me more". Step 2: Build your list After you create this customer profile, find the companies that meet this criteria. Find 30–50 target companies on LinkedIn, then grab decision‑maker emails via Apollo/Wiza. STEP 3: Writing a killer email I used to run an outbound email agency and we'd send 50k+ emails/month to book b2b sales calls via cold email. Here are the basic principles of cold email writing that I always use: -Keep it 5-8 sentences. 70%+ of emails are read on mobile, so make sure they get most of it from that screen view. - Never write more than 2 sentences without breaking up the lines. People skim, and that’s the best way to keep their attention - DO NOT talk about your product’s features. - Instead, talk about the person, their company, and their pain points. STEP 4: The call I took 493 sales calls in Origami’s first 3 months. Here's what I learned: The 2 biggest goals for this call are - Figuring out the customer’s problems - Getting the customer excited about your solution Unless you already have PMF, it doesn't matter if you have a full built product. You still need to spend 90%+ of your time figuring out what the customer actually needs. In the early stages, you can even offer a full refund if they aren’t satisfied to give them maximum confidence and get your first few deals over the line. STEP 5: Closing/After Congrats! You cracked cold email. This was the exact approach we used at Origami to get our first $10k MRR, and the highest converting outbound approach I’ve seen when I ran my agency. I posted the stats in my prior tweets, but in our first 40 days we sent 3119 emails (~77 per day) and got a 5.3% response rate, resulting in demos with 64 founders at companies within our ICP. This resulted in ~$22k new MRR by the time our sales for all of these calls had closed. The best part is that once you nail this process, you can automate it. We've got our Origami AI Agents (@origamichat) finding new customers 24/7, which frees us up to explore new channels and focus on scaling. CONCLUSION This is a very short version of my guide. The full guide I posted on X last year (@fin465) hit 800k impressions and 10k+ bookmarks. If you want me to DM it you, comment GUIDE.

@MillieMarconnni Nice find

OMG... Researchers from Stony Brook, CMU, Yale, UBC, and Fudan just open-sourced a multi-agent LLM system built specifically for high-frequency trading analysis. It's called QuantAgent and it runs four specialized AI agents simultaneously each analyzing a different dimension of the market then synthesizes everything into a single actionable trade decision with entry points, exit points, and stop-loss thresholds. Link in the comments + details about this 👇

@paolo_scales 48

just put together the 48 laws of linkedin lead gen… a GTM BIBLE with EVERY principle that added $950k+ to our clients’ MRR for 24h, i’m sending it to EVERYONE who likes + comments “48” (must be following + RT for priority access)

@dan__rosenthal ABM

I’ve NEVER seen a B2B company fail to scale with ABM when they build signal infrastructure that automatically scores, routes, and alerts. That said… I just built this ABM playbook for you to steal. 8 steps from ICP model to realtime CRM updates with intent signals and dedicated Slack channels for warm leads. I recorded a full video breaking down the entire workflow. It covers: • The 8-step framework from ICP to activation • How we track 1st, 2nd, and 3rd party signals • The awareness scoring model (5 stages) • CRM automation structure • How Slack channels keep reps focused on warm leads And a WHOLE lot more. Comment "ABM" and I'll DM you the guid3. PS - This is the same playbook we deploy for clients with $60K+ ACV deals.

@X_FINALBOSS X

you are COOKED if you can't make $20K+ per month online in 2025 1. you can use AI to generate 300 posts in 15 minutes 2. you can get millions of views without spending a penny on ads 3. you can put words in a document and sell it 1000x for $50+ each 4. you can hire workers for $2.50/hr 100 years ago you needed your life savings just to START a business today you can start for free on your iPhone in seconds My 1.3 to 2.4 GPA teenager students that began working with me 10 months ago are making $30K–$80K+/month now I got a student Zain was earning minimum wage at a café in may 2025... now he's making $78K/month and bought an AMG Mercedes to help you guys , I've decided to LEAK the full recording of my $15M+ LIVE 4 X Account Case Study printing $100K+ per month EACH for FREE for the next 24 hours 30 minutes. revealing 4 X accounts making $1M+ per year (full case studies). usually $3K+ to access. what's inside: → how I made $100K from ONE post in 10 minutes for my friend Michael → the exact funnel generating $151K in 7 days on autopilot → how Parker did $570K in 3 months with one X account → why accounts with 6.5M followers make LESS than mine with 13K views → the DM automation sending 1000+ messages daily for free (send link to purchase ebook) → the copywriting crash course formula turning comments into $10K–$100K sales → how to hit $100K/month posting tweets that take minutes to write DELETING IN 24 HOURS comment "X" and I'll DM it to you **must be following + retweet to receive**