Aurora Ai Frame

📱 ʏᴏᴜʀ sᴍᴀʀᴛᴘʜᴏɴᴇ ᴄʜᴀɴɢᴇs ᴇᴠᴇʀʏ ғᴇᴡ ʏᴇᴀʀs. 🌐 ᴛʜᴇ ᴛᴇᴄʜɴᴏʟᴏɢʏ ʙᴇʜɪɴᴅ sɪᴍ ᴄᴀʀᴅs ʜᴀs ʙᴇᴇɴ ϙᴜɪᴇᴛʟʏ ᴘᴏᴡᴇʀɪɴɢ ɢʟᴏʙᴀʟ ᴄᴏᴍᴍᴜɴɪᴄᴀᴛɪᴏɴ ғᴏʀ ᴅᴇᴄᴀᴅᴇs. 🚫 ɴᴏ ᴛʀᴇɴᴅ. 🚫 ɴᴏ sᴘᴏᴛʟɪɢʜᴛ. 👥 ʏᴇᴛ ʙɪʟʟɪᴏɴs ᴏғ ᴘᴇᴏᴘʟᴇ ᴅᴇᴘᴇɴᴅ ᴏɴ ɪᴛ ᴇᴠᴇʀʏ sɪɴɢʟᴇ ᴅᴀʏ. ⚡ ᴛʜᴇ ᴍᴏsᴛ ɪᴍᴘᴏʀᴛᴀɴᴛ ᴛᴇᴄʜ ɪs ᴏғᴛᴇɴ ᴛʜᴇ ʟᴇᴀsᴛ ᴠɪsɪʙʟᴇ. 📌 ʙᴏᴏᴋᴍᴀʀᴋ ᴛʜɪs. ❤️ ʟɪᴋᴇ • 🔁 ʀᴛ • 💬 ᴄᴏᴍᴍᴇɴᴛ "ᴀɪ" 👉 ғᴏʟʟᴏᴡ ᴍᴇ : @FrameAurora ғᴏʀ ᴍᴏʀᴇ ᴛᴇᴄʜ ɪɴsɪɢʜᴛs. 🚀

“Yᴏᴜʀ SIM ᴄᴀʀᴅ ᴋɴᴏᴡs ᴍᴏʀᴇ ᴀʙᴏᴜᴛ ʏᴏᴜ ᴛʜᴀɴ ʏᴏᴜʀ ᴘʜᴏɴᴇ ᴅᴏᴇs. Iᴛ’s ᴛʜᴇ ᴛɪɴʏ ᴄʜɪᴘ ᴛʜᴀᴛ ᴘʀᴏᴠᴇs ʏᴏᴜʀ ɪᴅᴇɴᴛɪᴛʏ ᴛᴏ ᴛʜᴇ ᴇɴᴛɪʀᴇ ɴᴇᴛᴡᴏʀᴋ. Sᴍᴀʟʟ ᴘɪᴇᴄᴇ ᴏғ ᴘʟᴀsᴛɪᴄ. Mᴀssɪᴠᴇ ᴛᴇᴄʜɴᴏʟᴏɢʏ. 99% ᴏғ ᴘᴇᴏᴘʟᴇ ʜᴀᴠᴇ ɴᴇᴠᴇʀ ᴛʜᴏᴜɢʜᴛ ᴀʙᴏᴜᴛ ᴛʜɪs.” ʙᴏᴏᴋᴍᴀʀᴋ ᴛʜɪs . ❤️ ʟɪᴋᴇ • 🔁 ʀᴛ • 💬 ᴄᴏᴍᴍᴇɴᴛ : ᴀɪ ⚜️ ғᴏʀ ᴍᴏʀᴇ 👉ғᴏʟʟᴏᴡ ᴍᴇ : @FrameAurora

@Msupriyak6M Great

Follow @Msupriyak6M

@ai_logician Claude

🚨 GIVEAWAY ALERT 🚨 Someone used Claude + Gumroad to generate $87,642+ in sales selling digital products online. No employees. No inventory. No coding required. I'm giving away a complete guide that shows how people are using AI to create and sell digital products online. 💰 Inside you'll learn: ✅ How to use Claude for product creation ✅ Gumroad selling strategies ✅ AI-powered marketing workflows ✅ Passive income systems ✅ Digital product ideas that sell 💵 Value: $99 🎁 FREE for the next 24 hours To get it: 1️⃣ Follow me 2️⃣ Like + Repost 3️⃣ Comment "CLAUDE" I'll DM you the guide 📩

@selinatasnim1 Agent

A 29-year-old former sales consultant from China walked away from his job and is now making in two weeks what his old boss earns in a year. Last month alone, he reportedly generated over $300,000 in profit. His secret? He replaced an entire quant team with Claude and a network of six AI agents. No massive team. No expensive infrastructure. Just AI-powered automation running around the clock. His system: → Each agent independently validates trading decisions → Monitors markets 24/7 → Runs continuous ETH price simulations → Stores and analyzes historical patterns and signals → Identifies market inefficiencies in real time → Executes trades when opportunities appear → Requires virtually no human intervention This isn't about predicting the future. It's about finding pricing discrepancies before the market corrects itself. The advantage comes from speed, coverage, and relentless data analysis. While most traders react, the system acts. I spent 90 minutes reverse-engineering the setup and condensed the core framework into a single Claude prompt. For the next 24 hours, I'm sharing it free. To get access: 1. Comment "AGENT" 2. Like and repost 3. Follow @selinatasnim1 so I can send it via DM Wallet tracked on Polymarket: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 Most people aren't paying attention yet. The edge exists today. In a few months, when similar systems become widespread, it may not. You only need Claude, a device, and about an hour to get started. Save this post. Test everything yourself. Start small. Scale based on results.

@AnnuKumari35786 Awesome

Claude is used by 11 million people every day. I've created a guide with the 100 real skills that separate the pros from the amateurs: → Writing, Automation, Business, Productivity, Programming, AI and Prompting, E-commerce, Finance, and Research FREE for 24 hours only! Follow me @AnnuKumari35786

@SharminNahar401 Amazing

Chinese engineers built a Claude bot that turned $1.18 into $3.3M. Not manual trading. Not signals. A fully automated system called PHANTOM Stats: $1.18 → $3,300,000 37,063 trades 71% win rate Biggest hit: $180 K How it works: Tracks thousands of markets across Polymarket + Kalshi Finds mispricing and enters instantly 3 engines: Pairs arbitrage YES 0.62 + NO 0.41 = edge Sentiment AI scans X + news before repricing Volatility timing enters before spikes, exits on movement Why sports markets work: Market moves slowly Spreads everywhere Constant inefficiencies That’s where millions came from. Why humans lose: You can’t watch 50 markets You hesitate You sleep The bot doesn’t. Runs 24/7 No emotions No delays By the time you click, the edge is gone. Manual trading is dying. Automation already won. Want the setup? Comment “GUIDE” Like + RT Follow @SharminNahar401

@Tech_Arish AI

Learn AI for free directly from top companies 𝟭 - 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰: anthropic.skilljar.com 𝟮 - 𝗚𝗼𝗼𝗴𝗹𝗲: grow.google/ai 𝟯 - 𝗠𝗲𝘁𝗮: ai.meta.com/resources/ 𝟰 - 𝗡𝗩𝗜𝗗𝗜𝗔: developer.nvidia.com/cuda 𝟱 - 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁: learn.microsoft.com/en-us/training/ 𝟲 - 𝗢𝗽𝗲𝗻𝗔𝗜: academy.openai.com 𝟳 - 𝗜𝗕𝗠: skillsbuild.org 𝟴 - 𝗔𝗪𝗦: skillbuilder.aws 𝟵 - 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝗔𝗜: deeplearning.ai 𝟭𝟬 - 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲: huggingface.co/learn ❤️ Like 🔁 Retweet 🔖 Bookmark Follow @Tech_Arish more AI Posts #AI #ArtificialIntelligence #AISkills #AIAgents #RAG #LLM #PromptEngineering

@ai_master007 Helpfull

Apple doesn't talk about these secret iPhone codes - save this now!

@SaurabhDub28465 Awesome

Stop wasting hours trying to learn AI. I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: t.co/kyDon6qLrb 2. LLMs from Scratch: t.co/2hyMhuKoiI 3. Agentic AI Overview (Stanford): t.co/FXu6cAqITC 4. Building and Evaluating Agents: t.co/ZigR1tdOFL 5. Building Effective Agents: t.co/uYwfwO55mO 6. Building Agents with MCP: t.co/4arFTW1b3i 7. Building an Agent from Scratch: t.co/eOmveyM9Hz 8. Philo Agents: t.co/zLu7x1tx9m 🗂️ Repos 1. GenAI Agents: t.co/eXCl2YaRPv 2. Microsoft's AI Agents for Beginners: t.co/3CSW4zPAwf 3. Prompt Engineering Guide: t.co/GVzvxPYDVO 4. Hands-On Large Language Models: t.co/0rgDvhx3pI 5. AI Agents for Beginners: t.co/3CSW4zPAwf 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: t.co/9z5KHF9DMe 8. Hands-On AI Engineering:t.co/dldAj5Xkr6 9. Awesome Generative AI Guide: t.co/U2WZhT4ERV 10. Designing Machine Learning Systems: t.co/sYAZX34YdQ 11. Machine Learning for Beginners from Microsoft: t.co/NjFxHbC9jZ 12. LLM Course: t.co/N34YTPu1OK 🗺️ Guides 1. Google's Agent Whitepaper: t.co/bW3Ov3vMW0 2. Google's Agent Companion: t.co/wredwWAbBA 3. Building Effective Agents by Anthropic: t.co/fxtE4alVrJ. 4. Claude Code Best Agentic Coding practices: t.co/lLSwJ9pG7C 5. OpenAI's Practical Guide to Building Agents: t.co/xgkEIogGfh 📚Books: 1. Understanding Deep Learning: t.co/CjcKpTemmV 2. Building an LLM from Scratch: t.co/DaWBxOx8o3 3. The LLM Engineering Handbook: t.co/ZA1n0N41Mf 4. AI Agents: The Definitive Guide - Nicole Koenigstein: t.co/boLkl1VlKb 5. Building Applications with AI Agents - Michael Albada: t.co/H1Xf5EkJLL 6. AI Agents with MCP - Kyle Stratis: t.co/JI3ELQZE6a 7. AI Engineering: t.co/Xk0JzMIf7o 📜 Papers 1. ReAct: t.co/QNqE4UU55w 2. Generative Agents: t.co/CwEpoJgY1U. 3. Toolformer: t.co/5m9xZd5teZ 4. Chain-of-Thought Prompting: t.co/KjVlgdWi77. 🧑🏫 Courses: 1. HuggingFace's Agent Course: t.co/7FSUYKxIdG 2. MCP with Anthropic: t.co/IkZGiWm2yS 3. Building Vector Databases with Pinecone: t.co/2YRoMfLdXd 4. Vector Databases from Embeddings to Apps: t.co/23A50ixbHJ 5. Agent Memory: t.co/uc3L9BrNF7 ❤️ Like 🔁 Repost 🔖 Bookmark Follow @SaurabhDub28465 for more of these AI & Tech productivity content.

@Tech_Tafsin Nice Share

Small diet changes can make a big difference for your kidney health! 🍎🍋 These 8 fruits are nature’s way of helping you stay stone-free and hydrated. Which one is your favorite? 🍉💧@TachTafsin