Hong Kong'daki 6. ay forex rezervleri

Recently #BSC 真就只能玩双圣的角度，强如 #FF, still not as good as a casual sentence from Shuang Sheng #SOL long-term chain sweeping by P can make some money from new listings, but for older players with slower hands, $SantaHat like this is more suitable So, #SantaHat is one of those, using popular thinking it’s a “certainty” opportunity, but that’s definitely hindsight; from a genuine crypto trading perspective, this kind of token is called a high reward-to-risk and cost-performance ratio token, there’s no such thing as “certainty” in hindsight; there’s only one way to put it: risks are present, but if you hit right, returns can be very high, that’s it, meow~~~ Why is SantaHat’s cost-performance ratio pretty good? Because it carries huge risk while: 1. RFC’s dev. 2. RFC (now SantaHat)’s official Twitter has been interacting with Elon Musk, even changing to a Christmas hat avatar, and Musk also changed to a Christmas hat avatar. 3. There are 15 days until Christmas, and with the current market cap, if the whales don’t pump, they can’t cash out and make profit. RFC once reached over 100 million, and that wave made enough money, so the whales aren’t short of money. 4. Whales are not charities; pumping is for making money. If they can’t push it up, they won’t force it. So waiting for 3-5 million might be risky because the market won’t buy in. If you chase at that time, you could lose money; but now with a few hundred K, the whales are likely to attempt a pump, and then see if the key levels can gain market approval.

🔥 Vibe Coding is on fire! In 2025, can you make an app without writing code? As long as you have the aesthetic (Vibe) and logic, AI can be your entire development team. Recently, I looked at everyone's Vibe Coding tools, and they are basically the 5 most popular Vibe Coding artifacts: Cursor, Antigravity, AI Studio, Claude, and Codex. 👇 Many students sent private messages asking me which tool is suitable for me, and today I will briefly share which one is suitable for beginners? Who is the king of efficiency? Who is the "hard drive killer"? 1️⃣ Cursor: The Strongest AI Editor on the Surface (Currently) 🌟 Positioning: Your "all-round partner". It is a magic modification of VS Code, which means that all plugins are all-in-one, with zero threshold for getting started. ✅ Advantages: Composer mode: Change 10 files in one sentence, like commanding thousands of troops. Full library index: It really "reads" your entire project, not just guessing. Model Supermarket: Want to use Claude 3.5 or GPT-4o? Cut at any time. ⚠️ Note: Premium features are paid. If you don't understand Git, you may not be able to go back to it. It is suitable for friends who want to do long-term projects seriously. 2️⃣ Google Antigravity: Weightlessness Development (Agent First) 🌟 Positioning: It's your "outsourced team," not an assistant. You place an order, and it sends an agent to write code, run the terminal, and open the browser for verification. ✅ Advantages: Gemini 3 Pro blessing: The context is super long, and the memory is amazing. 🚨 High-energy warning (must-see): It's too "autonomous"! There is a bad guy abroad who asked it to clear the cache, and the agent emptied its D disk... 😱 👉 Suitable for: Geeks who are bold and understand sandbox isolation. Xiaobai should use Manager mode with caution! 3️⃣ Google AI Studio: Magic in your browser 🌟 Positioning: Write code as long as you have a browser. No need to install an environment at all, open the web page, type "I want a Pomodoro clock", and the app will be generated immediately on the right. ✅ Advantages: 0 Environment cost: No need to worry about the Node.js version, no need to configure the environment. One-click deployment: After writing, throw it directly to Cloud Run, generate a link and send it to your friends for a cup. ⚠️ Disadvantages: Suitable for demos and widgets, you still have to go back to the local area for big projects. 👉 Suitable for: Absolute novices who just want to quickly verify ideas. 4️⃣ Claude: The soul behind it Claude is naturally suitable for reading long code, long documents, and RFC-level things, and Claude Code can automatically pull context and do cross-file analysis. Although Claude Code can run commands, it is more "interpretation + patch generation" as a whole, unlike Codex's cloud sandbox one-stop dragon; For beginners, you need to know a little bit about the local environment. 5⃣ Codex (OpenAI)： Engineering Tough Guy: Strict logic, extremely strong Python/algorithm capabilities. Purpose: When writing complex backend logic, it hallucinates less than Claude. 💡 The code is written, how to go online? (A must-see) for beginners) Don't buy Alibaba Cloud/AWS EC2! Don't toss the Linux command line! 🏆 Zeabur : Friendly to ask Xiaobai, the environment is OK and does not need to be configured, the front-end and back-end can be used, automatic management, very friendly. Automatic recognition: Whether the AI writes you Python or Node, upload and deploy. Bring your own database: This is the biggest pain point! Zeabur has a database with just a click, so you don't have to configure it yourself.

The closer it gets to Christmas, the more surprises there are. I just don't believe the RFC DEV can't make it work. HruKkLrLJ7t1kL8E6HBccSpWdUpnhGmi3SVrB9Jjpump

Quickly throw the electric car into the river, the 10S spider sensed it $RFC

$RFC Gaskeun....