Tech P

Hi, I’m Tech P . I work with C, C++, Python, Java, and SQL to structure, process, and turn data into actionable insights. I share data projects, learning notes, and practical insights as I grow in data engineering. If you’re building too, let’s connect!..

@delveroin True

Building online is weird. You can be making progress and still feel like you’re behind.

$1,000,000,000 Amen! 🤲🤲

Github commits are dead.... Show us your token usage !!!

Grok imagine

Good morning fans Today is another day, Don't give up on your dreams - Read that book - Learn that skill - Focus on learning - Learn that course - Do that research.

@RodmanAi Very helpful

SHOCKING: 99% people using Claude are barely scratching the surface. Right now, the entire internet is screaming “Claude, Claude, Claude”... But here’s the truth: just chatting with it won’t change your life. To unlock its real power, you need to master: • agentic workflows • Claude Code • skills, automation & system-level usage I spent 100+ hours researching and compiled the best Claude resources from across the entire internet — videos, repos, guides, books, and papers. I’ll give it to only 4,500 people. To get it: 1. Follow me MUST (so i can dm) 2. Comment “Claude” 3. I’ll DM you the document 📩 If you don’t follow or comment, you won’t receive it

Inevitably, this will be 4/20 😂

@RodmanAi "Claude"

@stijnnoorman Discipline and Self Belief is key to stay ahead of the competition.

@stijnnoorman Discipline is the ultimate equalizer.

@elonmusk 😂😂

😂

💥Hot💥Release from @PacktDataML "The AI Optimization Playbook: Drive business success with proven AI strategies, best practices, and responsible innovation" See it at amzn.to/45CtY4L 𝕋𝕒𝕓𝕝𝕖 𝕆𝕗 ℂ𝕠𝕟𝕥𝕖𝕟𝕥𝕤: 🔷Understanding the Perils of AI Products 🔶Building the Enterprise AI Strategy ♦️Selecting High-Impact AI Projects 🔷Beyond the Build: Gaining Leadership Support for AI Initiatives 🔶Building an AI Proof of Concept and Measuring Your Solution ♦️Beyond Accuracy: A Guide to Defining Metrics for Adoption 🔷From Model to Market: Operationalizing ML Systems 🔶From Metrics to Measurement: Experimentation and Causal Inference ♦️Generative AI in the Enterprise: Unlocking New Opportunities 🔷Understanding GenAI Operations 🔶AI Agents Explained ♦️Introduction to Responsible AI 🔷Implementing RAI Frameworks, Metrics, and Best Practices 🔶Building Trustworthy LLMs and Generative AI ♦️Regulatory and Legal Frameworks for Responsible AI 🔷Future of AI Optimization: Trends, Vision, Responsible Implementation

@RodmanAi "DOC"

I spent 100+ hours digging through official Anthropic resources, documentation, hidden course pages, and deployment guides... And organized everything into one structured document. Inside: • 13 Free Claude courses (with certificates) • Full API fundamentals • MCP (Model Context Protocol) deep dives • Agent skills breakdown • AWS + Vertex deployment guides • Complete AI Fluency track • Direct documentation links No random bookmarks. No messy threads. No “Google and figure it out.” Just a clean, step-by-step learning stack. Most people will never put this together. I’m giving it away for free. How to get it: 1️⃣ Follow me (so I can DM you) 2️⃣ Like + Repost 3️⃣ Comment “DOC” I’ll send the full curated file directly. If you’re serious about AI in 2026, this is your shortcut. 🚀

Talent sets the ceiling, but discipline determines how close you get to it. The people who win consistently aren’t always the most gifted—they’re the most consistent, the most focused, and the least negotiable with their habits. Outwork the noise. Show up daily. That’s the real advantage.

People may be smarter. People may be more talented. People may be better looking. But you can decide to be more disciplined than them. Choose to be more disciplined and you will still beat them.

@Shruti_0810 "Backend"

🚨 Most developers think they know backend… But fail in real-world systems. Here’s a Modern Backend Development Checklist for 2026 🧵👇 Save this. It’s your roadmap to becoming a top 1% backend engineer. 🌐 PHASE 1: Foundations (Don’t Skip This) → How internet works (DNS → HTTP → HTTPS) → Client-server architecture → Requests & responses lifecycle → REST APIs + JSON → HTTP methods, headers, status codes → Cookies, sessions, CORS 💡 If you don’t understand this, nothing else will make sense. ⚙️ PHASE 2: Core Backend Skills → Pick ONE language (Node.js / Python / Go / Java) → Project structure & clean architecture → MVC & layered design → Routing + middleware → Error handling & validation → Env variables + logging 🧠 Clean code > fancy code. 🗄️ PHASE 3: Databases (Where most devs struggle) → SQL (PostgreSQL/MySQL) → NoSQL (MongoDB, Redis) → Schema design → Indexing & query optimization → Relationships (1-1, 1-M, M-M) → ORMs + migrations 🔥 Bad DB design = slow apps forever. 🔐 PHASE 4: Security (Non-negotiable) → Auth (JWT, OAuth, Sessions) → Password hashing (bcrypt/argon2) → Prevent XSS, CSRF, SQL injection → Rate limiting → HTTPS + encryption → Input validation ⚠️ Security is not optional. It’s survival. 🚀 PHASE 5: Scaling & Real-World Systems → Docker & CI/CD → Message queues (Kafka, RabbitMQ) → Background jobs → Microservices basics → Monitoring (logs, metrics) → Cloud (AWS, GCP, Azure) 💥 This is where devs become engineers. 🏆 PHASE 6: The REAL Differentiator → Build real-world projects → Think in systems, not code → Optimize for scale & reliability 📌 Anyone can code. Few can build systems. If this helped: • Follow for more AI + Tech breakdowns • Bookmark this 🔖 • Reply “BACKEND” and I’ll send more resources

Nothing is dead—standards just got higher. LeetCode didn’t die; surface-level prep did. Coding didn’t die; copy-paste developers did. Startups didn’t die; weak ideas did. Tech isn’t dead; complacency is. This isn’t the end, it’s a filter. The game now rewards depth, real problem-solving, and people who can adapt fast. Average is fading. Builders are rising.

Leetcode is dead Software is dead DSA is dead Coding is dead Programming is dead Developers are dead Startups are dead Web dev is dead App dev is dead Backend is dead Frontend is dead Full stack is dead Open source is dead Hackathons are dead Internships are dead Tech Twitter is dead LinkedIn motivation is dead Resume building is dead Side projects are dead Cloud is dead Data science is dead Stack Overflow is dead Nothing is Dead