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Legends say dragons disappeared into the shadows of time. 🐉✨ Two fearless explorers venture into the unknown, searching for a forgotten secret that could change everything they believe. What awaits them is more than a legend… it’s a world beyond imagination. 🔥 BEYOND THE MYTH — where ancient legends come alive. My entry for PixMore Challenge Vol. 3 – Tales of the Dragons. @PixVerse @PixVerseCreator #PixMoreChallenge #PixVerse #TalesOfTheDragons #AIvideo

A 19-year-old Japanese student built a trading bot in just 48 hours. His setup? Claude Code, a Binance API, and an iPad as a second monitor. Starting capital: $68. First-night profit: $6,732. Reported total profit: $750,000. No expensive trading setup. No massive team. Just code, market data, and a system built to spot opportunities faster than humans can. Here's the interesting part. The bot scans 50+ markets simultaneously and pulls live BTC data from Binance every second. While most traders are busy watching charts and guessing where prices will move next, this system looks for something different: price discrepancies between markets. When an arbitrage opportunity appears, the bot can act before the window closes. Here's how he built it: → Claude Code handles the trading logic → Binance API delivers real-time BTC price data → Multi-market monitoring helps identify price discrepancies → Automated execution targets arbitrage opportunities → The system is designed to run 24/7 without constant manual monitoring That's the basic idea. Not staring at charts all day. Not chasing every market move. Just a system searching for pricing gaps that may disappear within seconds. He reportedly went from $68 in starting capital to $750K in total profits. Of course, those numbers haven't been independently verified, and automated trading still comes with serious risks. But the concept is worth understanding. I'm sharing the Claude Code setup for free for the next 24 hours. Want to build something similar? Here's how to get it 👇 1️⃣ Comment "SetUp" 2️⃣ Like and RT this post 3️⃣ Follow Me👤 @triptitips so I can send you the setup via DM✉️.

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🚨 10 “Illegal” Websites That Will Make Your Life Easier Shhh... don't tell anyone. 👀 🔖 Bookmark this for later. 🔵 1. Photopea — photopea.com Edit photos, design graphics, and open PSD files in your browser. 🔵 2. Remove.bg — remove.bg Remove image backgrounds automatically in seconds. 🔵 3. Temp Mail — temp-mail.org Create temporary email addresses to reduce unwanted emails in your primary inbox. 🔵 4. Internet Archive — archive.org Explore archived websites, digitized books, videos, and historical resources. 🔵 5. TinyWow — tinywow.com Convert files, compress PDFs, and simplify everyday digital tasks. 🔵 6. Excalidraw — excalidraw.com Turn ideas into diagrams, flowcharts, and visual explanations. 🔵 7. Gamma — gamma.app Create presentations, documents, and webpages with AI assistance. 🔵 8. Perplexity — perplexity.ai Research topics with AI-powered answers and linked sources. 🔵 9. Napkin AI — napkin.ai Transform written ideas into diagrams and visual content. 🔵 10. WolframAlpha — wolframalpha.com Solve complex equations and explore mathematics, science, and data. Most people search for solutions the hard way. Smart users know where to look. 👀 🔖 Save this list. One of these could improve your workflow. Follow @triptitips for more AI tools, hidden gems, and practical workflows.

𝗠𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝘁𝗵𝗶𝗻𝗸 𝗔𝗜 = 𝗖𝗵𝗮𝘁𝗚𝗣𝗧. Not even close. ChatGPT is what you see. The real AI revolution is the massive ecosystem being built underneath it. This AI Stack Map captures 100+ tools powering modern AI applications. 𝗧𝗵𝗲 𝗺𝗼𝗱𝗲𝗿𝗻 𝗔𝗜 𝘀𝘁𝗮𝗰𝗸 𝗹𝗼𝗼𝗸𝘀 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗹𝗶𝗸𝗲 𝘁𝗵𝗶𝘀: LLMs → OpenAI, Claude, Gemini, Llama, Mistral Agentic AI → LangGraph, CrewAI, AutoGen, CAMEL, Agno RAG → LangChain, LlamaIndex, Haystack, GraphRAG Embeddings → OpenAI, Voyage, Cohere, BGE MCP → Connecting models with tools, data and systems AI Security → Guardrails, Presidio, Lakera, Prompt Security Observability & Evals → LangSmith, Langfuse, Phoenix, Ragas Memory → Redis, Mem0, Zep, Neo4j, Chroma Agent Frameworks → OpenAI SDK, Semantic Kernel, Google ADK, Bedrock Automation → n8n, Zapier, Make, Airflow, Prefect Vector Databases → Pinecone, Weaviate, Qdrant, Milvus, pgvector But here’s the part that matters more than the logos. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝗻𝗼𝘁 𝗮 𝘀𝗵𝗼𝗽𝗽𝗶𝗻𝗴 𝗹𝗶𝘀𝘁. It’s a dependency graph. Your RAG is only as good as your retrieval + embeddings. Your agent is only as reliable as its tools + evaluations + guardrails. Your memory is useless if you can’t observe when context becomes stale or wrong. Your MCP layer becomes dangerous if permissions and governance are an afterthought. And a “best-in-class” stack can still become a terrible production system. Why? Because AI systems rarely fail only inside one component. 𝗧𝗵𝗲𝘆 𝗳𝗮𝗶𝗹 𝗮𝘁 𝘁𝗵𝗲 𝗵𝗮𝗻𝗱𝗼𝗳𝗳𝘀. Model → Retrieval Retrieval → Context Context → Agent Agent → Tool Tool → Memory Memory → Evaluation That’s where latency compounds, context gets lost, permissions leak, hallucinations propagate and reliability starts falling apart. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗺𝗼𝗮𝘁 𝗶𝘀𝗻’𝘁 𝗵𝗮𝘃𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀. It’s designing how they work together. A stack map tells you 𝗪𝗛𝗔𝗧 exists. Production engineering decides 𝗛𝗢𝗪 it all survives contact with reality. Which tool in your AI stack has become indispensable? Save this map for your next AI build. Repost it for someone designing an AI architecture. #AI #ArtificialIntelligence #GenAI

The best UI component libraries worth bookmarking🔖 tailgrids.com — Ready-to-use Tailwind components for faster UI development. bencho.dev — Interactive React animations for polished, modern interfaces. uiarc.dev — AI-ready UI components built for modern products. opensourceui.in — Free, polished React and Next.js components ready to copy and customize. transitions.dev — Smooth transitions for fluid, modern interfaces. boardui.com — Clean, beautiful components for next-gen products. heroui.com — Beautiful, accessible React components built with Tailwind CSS. reverseui.com — Premium animated components for standout web apps. What other UI libraries deserve a spot on this list? 👇