I built a free, modern alternative to Bloomberg 👇.MarketVision Pro – decode the stock market in real time. #BuildInPublic #FinTech #AI #StockMarket #WebDev #NextJS #React

For my small acct, this is huge 🙌. It’s easy to underestimate these numbers, but every single view = someone's time & curiosity. In a space w/ millions posting daily, this is a win 💯. Grateful. Motivated. ✨.#SmallWins #XCommunity #BuildingInPublic

Join millions who have switched to Grok.

Guys help me decide .Fullstack or AI/ML ?.

6/ All of this happens in milliseconds ⏱️ … just so a page loads instantly on your screen 🤯. The internet isn’t magic ✨.It’s layers of genius engineering at work 🚀. #Coding #Internet #WebDevelopment.

5/ Breaking down a URL 🔍. Subdomain → domain 🏷️. Primary → google 🌟. TLD → .com 🔝. Path → /set-started/ 🛣️. #WebDev #Programming.

4/ DNS = The Translator 🔄.DNS converts the human-readable domain into its machine-readable IP. ⚡ To save time, ISPs cache the results so you don’t wait every time. #DNS #CloudComputing.

3/ Host Servers = Real Address 🖥️.Your domain finally points to a static IP stored on host servers. That’s the actual "home address" of a website. #TechSimplified #Networking.

2/ Registrars & ICANN 🏢.Domains are sold by registrars (like Google Domains). But the whole system is regulated by ICANN, the global internet authority. 🌍. #Internet #Domains.

Day 7 of #100DaysOfSystemDesign.1/ Domains = Nicknames.Instead of remembering 142.250.190.78, you just type 💡 Humans love names, machines love numbers. #DNS #WebDev.

You don’t need a supercomputer for ML. Google Colab + Python = Your free AI lab. 🔥 Train models.🔥 Run experiments.🔥 Access GPUs.Excuses deleted. #AI #Python #MachineLearning.

If you know Python, you already know 70% of ML. The rest?.📊 NumPy.📊 Pandas.🤖 Scikit-learn.🔥 PyTorch/TensorFlow.You don’t need to know “everything.”.You need to master “just enough.”.#Python #AI #ML.

AI isn’t about math only. It’s about storytelling. Can your ML model explain WHY it made a decision?.Explainability > Accuracy. Python has SHAP and LIME just for this. Future belongs to interpretable AI. #XAI #Python #MachineLearning.

Learning Python for AI? Don’t just copy tutorials. 👉 Pick a dataset (Kaggle, UCI, your own life logs). 👉 Try building a mini-model. 👉 Fail. Debug. Learn. That’s where real ML skills are born. #Python #MachineLearning #AI.

Morning mood: 50% coffee ☕ 50% trying to convince myself “today will be productive.” 🌅. #Devs.

✅ Key takeaway:.Next time you stream a video or open a website, remember that UDP & DNS are silently working behind the scenes. #Day6 #Networking #ComputerScience #LearnInPublic.

3/ How it works. You type a domain name. DNS + ISP + ICANN work together to find the right IP. Browser connects you to the server instantly. All thanks to a decentralized system that keeps the web human-friendly 🌍.

2/ DNS (Domain Name System).Think of DNS as the internet’s phonebook 📖. It maps:.👉 → 152.158.1.39XX.(Names → Numbers). Without it, we’d be memorizing IP addresses instead of names 😅.

1/ UDP (User Datagram Protocol). No need for connection setup 🚀. Some packets may arrive late or never, but speed > reliability. Used in live streaming, video calls, and online games 🎮. Also powers DNS queries.

Day 6 of #100DaysOfSystemDesign. Ever wondered how websites load so fast when you type a name like 🤔.Let’s break it down 👇.

Machine Learning ≠ Magic ✨.It’s math + stats + data. Core ML tasks:. Classification (spam or not?). Regression (predict house price 🏠). Clustering (group customers 👥). Recommendation (Netflix shows 🍿).

🔥 Top 5 AI libraries you must know:. 1. NumPy / Pandas – data handling. 2. Matplotlib / Seaborn – visualization. 3. Scikit-learn – ML basics. 4. TensorFlow – deep learning. 5. PyTorch – deep learning (research fav).