Alex Carter (@Acarter_coder) header
Alex Carter (@Acarter_coder) profile picture

Sharing AI tools, prompts & strategies to help you work smarter | Simplifying tech for growth 🚀

USA
Joined October 2024
I created this cinematic AI video using Ai. Want to create videos like this for your brand or content? Comment “Ai” and I’ll show you how. 🚀 #aivideo
🤖 Made with AI
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🚨 BREAKING: I asked Claude to upgrade my LinkedIn profile… It didn’t just “improve” it. It turned it into a recruiter magnet. 🎯 Here are the exact 10 prompts I’d use: 🧵👇
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5/ You decide who gets access. 🔐 Keep your pages private, add a password, or limit access to selected emails and company domains. Every version is saved, so you can review changes or restore an older version anytime. Preview → Approve → Publish → Restore.
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4/ See what teams are creating with Showly.ai: 📊 Reports that are easy to review 📋 Product specs with clear next steps 👀 Client-ready previews 🚀 Landing pages from idea to launch 👥 Research turned into clear, readable pages No more valuable work buried in chat. Just create, publish, and share. 🔗
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3/ No more chat transcripts or localhost screenshots. 🚫 Tell your agent what you need and let it build the page for you. Review the Preview, make any tweaks, then publish and share one clean link. Reports, product specs, client presentations, research, onboarding docs, or landing pages—it works the same way for all of them. 🔗
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2/ Don’t let useful AI work disappear into a chat. 👀 Connect Claude Code, Codex, Cursor, or OpenClaw and simply ask your agent to turn the result into a webpage. Preview it, request changes, then publish when ready. Your agent builds it. Showly takes care of the rest. Just share the link. 🔗
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1/ 🏆 Meet Showly.ai — made to work with the AI agents you already use. From research and reports to specs and landing pages, your agent can handle the work. Instead of leaving the result buried in a chat, Showly turns it into a polished webpage your team can easily review and share.
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Your AI agent can research, write reports, plan projects, and even build websites. But why leave all that work buried in a chat? 👀 Showly turns your agent’s output into a clean, polished webpage that’s easy to review, share, and send. Start free → Showly.ai 🚀
🤝 Paid partnership
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BREAKING: 🚨 Claude can fix your entire Instagram page like a $30K social media manager. Here are 8 prompts to grow your views, followers, and sales in 2026.
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7. Here are the features of the new update in brief
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6. The full-page images that cover the entire screen in Apple Music on iOS 26.4, with their spot-on color matching, are absolutely gorgeous..!
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5. The Saudi Riyal symbol has finally been added to the keyboard in the new iPhone update..!
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4. In iOS 26.4, Apple added a new option under: Accessibility → Display & Text Size Reduce Lighting Effects This option replaced the old one that was named Reduce Highlighting Effects. Apple described this option as follows: "Reduce highlighting and flashing when interacting with elements on the screen." In short, that means the control over visual effects has become calmer and easier on the eyes.
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3. What's New in iOS 26.4: You can now create Al-generated playlists in Apple Music..!
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2. Apple released the iOS 26.4 update with new emojis
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1. What's new in iOS 26.4: Improved keyboard accuracy when typing quickly..!
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I’m sharing the exact AI trading stack that reportedly turned a simple setup into an incredible trading machine. A Brazilian college dropout built a Polymarket trading bot from his parents’ garage using only open-source AI agents. 📈 Reported results: • $794,000 earned in 14 months • 40,000+ trades • Around $10/month operating cost • No manual coding Here’s what powers it: 🧠 Brain: Claude Opus Makes trading decisions, analyzes performance, and improves its own strategy over time. 🤖 Agent: Hermes An open-source AI agent framework that executes the workflow automatically. 💻 Server: A low-cost VPS Runs the bot 24/7 without needing your computer. 📲 Alerts: Telegram Every trade is sent directly to your phone. The interesting part isn’t the automation. It’s the nightly self-improvement. Every day the AI reviews every trade, identifies what worked, adjusts its probability thresholds, and launches the next session with a refined strategy. After hundreds of trades, it’s no longer the same bot you started with. 🎁 If this post gets enough interest, I’ll share: ✅ The complete AI stack ✅ The exact workflow ✅ Prompt templates ✅ Setup guide ✅ Everything you need to recreate it Like ❤️ + Repost 🔄 + Comment “GUIDE”. Follow for more .
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A wild Polymarket account has emerged A Chinese student in Japan, who's only been on Polymarket for 2 days Turned $0.90 into $408,292 Almost no one's talking about it, 0 viewers His profile is called Gravia He says this is his terminal I reverse-engineered it, then had Claude build a similar bot following the same strategy One prompt 20 minutes Done What it does isn't ordinary trading But a Polymarket BTC UP/DOWN 5MIN scalper: → Pulls real-time BTC data from Binance WebSocket + 5M K-lines → Cross-references TradingView signals + CryptoQuant exchange flows → Uses Mirofish force-graph engine to map out 100 nodes / 180 edges, detecting convergence in BEAR / BULL clusters → Captures moments when Polymarket CLOB lags spot price by >0.3% → Executes in <100ms before contract repricing → In the UP/DOWN 5MIN market, 1000+ orders per second → Grabs 0.3-0.8% per trade → Skips if no edge, liquidity too thin, signal conflicts, or hits daily cap Risk controls are spelled out clearly too: Per-trade risk 0.5% Daily cap 2% -0.4% hard stop Runs on local terminal No cloud reliance No GPU needed The edge in this kind of bot isn't really "predicting BTC" But exploiting the time gap between spot price, signal convergence, and CLOB repricing The question is: How big can this 5MIN high-frequency scalper scale up to in the end? And will Polymarket ban it? You only need Claude + Device + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'CLAUDE' 2. Like and Retweet this post 3. Follow me @Acarter_coder (so i can DM you)
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A 33-year-old nerd just turned $1,000 into $946,207 trading Bitcoin, using a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a trick every meteorologist uses and every trader forgets. The trick: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He aimed exactly that same trick at Bitcoin. A Claude agent reads every 5-minute BTC market and feeds it into MiroFish, a simulation that runs 31 model paths and only fires when 28 of them agree. Below 26 votes, it kills the trade. The agent system's coverage speed is way faster than any elite trading team's. They gather data 24/7 and run simulations with that data in the MiroFish engine, completely autonomously. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. That's the whole edge. Not a prediction. A quorum. Sizes with Kelly and hits a button. Most signals never pass the vote, so most days it stays still. He spent years learning that certainty is a scam and consensus is the edge. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Fluid' 2. Like and Retweet this post 3. Follow me @Acarter_coder
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