krima

🫶🏼✌🏼🙏🏻😌

[Justin Mecham @thejustinmecham]

Someone is getting paid right now.

For a skill you give away for free:

I know because I watched it happen to me.

I spent years helping coworkers with the same thing over and over until it felt like breathing.

Then one night I saw someone online selling a $37 guide on that exact topic.

They had less experience than me.

Fewer years doing it.

A simpler explanation of it.

And people were buying it every single week.

That is when I realized I had not been missing an idea.

I had been dismissing the one right in front of me because it felt too easy.

Easy for you does not mean easy for everyone.

That is the part most people get wrong.

The thing you explain without thinking is the thing someone else has been stuck on for weeks.

And they would happily pay for the shortcut you carry around in your head for free.

My infographic is 25 real ways to turn skills like yours into income.

Save it.

Want help getting started?

I created a free toolkit for anyone who knows they have something worth selling but has not figured out how to package it yet.

👉 Grab it free here: https://t.co/bfM9L2Nizf

The biggest opportunity you have is not learning something new.

It's finally charging for what you already know how to do.

Please repost to help others out there! ♻️

[𝐇𝐚𝐦𝐳𝐚 | Networking Guy @Hamzaonchain]

Proxy vs Reverse Proxy

[Abhishek Rajput @BroCode1508]

🐳 Docker Cheat Sheet

Essential Docker commands, concepts & workflows - all in one place.

Save it. Bookmark it. Build better.

#Docker #DevOps

[Max @maxpostingx]

Most people spend months overanalyzing side hustles and never make a single dollar—here is a realistic 30-day execution roadmap to go from zero skills to landing your first paying customer.

[Alex AI @Alex_Tech_AIX]

Money isn’t just about making more—it’s about knowing what to do with what you make. 💰🧠

Earn. Save. Invest. Build assets.
Make your money work for you, not the other way around. 📈🔥

#Money #Investing #Wealth #FinancialFreedom #Mindset

[Tech Fusionist @techyoutbe]

Can you confidently explain:

- DNS resolution
- Subnetting
- NAT vs Gateway
- TLS Handshake
- Kubernetes Networking

If not, this roadmap is for you.

[IPCisco @ip_cisco]

Networking Tips!!!📌| https://t.co/lBcCNb6hp5
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Please Like & Share..:)
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#cisco #ccna #networkengineers

[Max @maxpostingx]

Your phone’s dialer app doubles as an engineer-level system terminal—typing these secret diagnostic codes lets you bypass standard settings to run raw hardware tests, inspect system dumps, and override hidden security features yourself.

[Sonal Shukla @sonalshukla3377]

There are two kinds of people in the AI era. 🤖

One says: “I’m not good at coding.”

The other opens Cursor + Claude Code, builds a rough first version, breaks a few things, fixes them, and keeps moving.

That gap is becoming more important than the 𝐬𝐤𝐢𝐥𝐥 𝐠𝐚𝐩 itself.

AI does not magically make everyone a developer, designer, writer, researcher, or entrepreneur.

What it does is dramatically reduce the distance between “𝐈 𝐡𝐚𝐯𝐞 𝐚𝐧 𝐢𝐝𝐞𝐚” and “𝐈 𝐛𝐮𝐢𝐥𝐭 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠.”

And that changes the game. 🚀

🔹 Can’t code? → Cursor + Claude Code

🔹 Can’t build an app? → Lovable + Bolt

🔹 Can’t design UI? → Figma AI + Uizard

🔹 Can’t edit videos? → Runway + CapCut AI

🔹 Can’t research fast enough? → Perplexity + Genspark

🔹 Can’t write well? → Claude + Jasper

🔹 Can’t build AI agents? → n8n + Flowise

🔹 Can’t automate repetitive work? → Zapier + Make ⚙

🔹 Can’t create presentations quickly? → Gamma + Canva AI

🔹 Can’t brainstorm? → ChatGPT + Gemini

🔹 Can’t learn fast enough? → NotebookLM + ChatGPT

🔹 Can’t grow on LinkedIn? → Taplio + AuthoredUp

🔹 Can’t build an online business? → Shopify Magic + Durable AI

The advantage is no longer knowing every tool.

The advantage is knowing 𝐰𝐡𝐢𝐜𝐡 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 you are solving, 𝐰𝐡𝐢𝐜𝐡 𝐭𝐨𝐨𝐥 can remove the bottleneck, and 𝐡𝐨𝐰 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 those tools into a workflow.

So stop asking: “𝐖𝐡𝐢𝐜𝐡 𝐀𝐈 𝐭𝐨𝐨𝐥 𝐬𝐡𝐨𝐮𝐥𝐝 𝐈 𝐥𝐞𝐚𝐫𝐧?”

Start asking: “𝐖𝐡𝐚𝐭 𝐚𝐦 𝐈 𝐮𝐧𝐚𝐛𝐥𝐞 𝐭𝐨 𝐝𝐨 𝐭𝐨𝐝𝐚𝐲 𝐭𝐡𝐚𝐭 𝐀𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐦𝐞 𝐝𝐨 𝐭𝐨𝐦𝐨𝐫𝐫𝐨𝐰?”

Then 𝐛𝐮𝐢𝐥𝐝. 𝐓𝐞𝐬𝐭. 𝐈𝐦𝐩𝐫𝐨𝐯𝐞. 𝐑𝐞𝐩𝐞𝐚𝐭. 🔄

AI will not replace effort.

But it is creating an enormous advantage for people who are willing to 𝐦𝐨𝐯𝐞 𝐛𝐞𝐟𝐨𝐫𝐞 𝐭𝐡𝐞𝐲 𝐟𝐞𝐞𝐥 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐥𝐲 𝐫𝐞𝐚𝐝𝐲. 🚀

[Inflictt @Saksham1172975]

SYSTEM DESIGN - Design Netflix / Youtube (Video streaming platform)
#SystemDesign #Netflix #Youtube

[Python Developer @PythonDvz]

🚨 SQL Injection in 10 Seconds!

Never trust user input. 😈
If input goes directly into an SQL query, attackers may manipulate your database.

[Daily Dose of Data Science @DailyDoseOfDS_]

CPU vs GPU vs TPU vs NPU vs LPU, explained visually:

5 hardware architectures power AI today.

Each one makes a fundamentally different tradeoff between flexibility, parallelism, and memory access.

> CPU

It is built for general-purpose computing. A few powerful cores handle complex logic, branching, and system-level tasks.

It has deep cache hierarchies and off-chip main memory (DRAM). It's great for operating systems, databases, and decision-heavy code, but not that great for repetitive math like matrix multiplications.

> GPU

Instead of a few powerful cores, GPUs spread work across thousands of smaller cores that all execute the same instruction on different data.

This is why GPUs dominate AI training. The parallelism maps directly to the kind of math neural networks need.

> TPU

They go one step further with specialization.

The core compute unit is a grid of multiply-accumulate (MAC) units where data flows through in a wave pattern.

Weights enter from one side, activations from the other, and partial results propagate without going back to memory each time.

The entire execution is compiler-controlled, not hardware-scheduled. Google designed TPUs specifically for neural network workloads.

> NPU

This is an edge-optimized variant.

The architecture is built around a Neural Compute Engine packed with MAC arrays and on-chip SRAM, but instead of high-bandwidth memory (HBM), NPUs use low-power system memory.

The design goal is to run inference at single-digit watt power budgets, like smartphones, wearables, and IoT devices.

Apple Neural Engine and Intel's NPU follow this pattern.

> LPU (Language Processing Unit)

This is the newest entrant, by Groq.

The architecture removes off-chip memory from the critical path entirely. All weight storage lives in on-chip SRAM.

Execution is fully deterministic and compiler-scheduled, which means zero cache misses and zero runtime scheduling overhead.

The tradeoff is that it provides limited memory per chip, which means you need hundreds of chips linked together to serve a single large model. But the latency advantage is real.

AI compute has evolved from general-purpose flexibility (CPU) to extreme specialization (LPU). Each step trades some level of generality for efficiency.

The visual below maps the internal architecture of all five side by side.

Notice the thread connecting all five. Every generation exists to move data less, because the math was never the hard part. Feeding the math units fast enough is.

The same battle plays out one layer up in software. During LLM inference, a single GPU produces terabytes of KV cache per day, and nearly all of it gets thrown away and recomputed, which is a big reason agent workloads cost what they do.

We wrote a full breakdown of how a disaggregated caching layer fixes this, with up to 14x faster time-to-first-token. The article is quoted below.

You should also check the LMCache GitHub repo: https://t.co/VCPBztdMhP

(don't forget to star 🌟)

👉 Over to you: Which of these 5 have you actually worked with or deployed on?

[Job Corner @JOBCORNER247]

14 difficult interview questions and how to answer them with confidence.

[Alex Xu @alexxubyte]

What keeps the Internet running.

We probably forget they exist until the day something breaks.

[IPCisco @ip_cisco]

Cisco Network Protocol Dependencies!!!📌| IPCisco
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CCNA Course: https://t.co/8bqmZUwDaz
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Packet Tracer Lab Files: https://t.co/nstkk2AKRR
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CCNA Flashcard Questions: https://t.co/6R6cvnxINB
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Network Quizes: https://t.co/Az8gbTLhNk
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#cisco #ccna #networkengineers

[IPCisco @ip_cisco]

Cisco IP Addressing!! | IPCisco

An IP address (Internet Protocol address) is a unique number given to any device that connects to a network. It acts like a digital mailing address so computers, phones, and websites can send data to the right place.. Network Engineer, Network Technician and Network Administration. #ccna #cisconetworking #ciscoccna #networkengineer #ccnp

[Vishwanath Patil @patilvishi]

Most developers use databases.
Few actually understand how they work.

Here's the Database Roadmap I'd follow in 2026 👇

1️⃣SQL Fundamentals
• SELECT
• INSERT
• UPDATE
• DELETE
• Constraints

2️⃣Data Modeling
• ER Diagrams
• Relationships
• Normalization
• Schema Design

3️⃣Joins & Queries
• INNER JOIN
• LEFT JOIN
• GROUP BY
• Subqueries

4️⃣Indexing
• Clustered Indexes
• Composite Indexes
• Query Plans
• Covering Indexes

5️⃣Transactions
• ACID
• Isolation Levels
• Locks
• Deadlocks

6️⃣Query Optimization
• Explain Plans
• Slow Queries
• N+1 Problems
• Performance Tuning

7️⃣Replication
• Primary-Replica
• Read Scaling
• Failover

8️⃣Partitioning & Sharding
• Horizontal Partitioning
• Vertical Partitioning
• Database Sharding

9️⃣NoSQL
• Document DBs
• Key-Value Stores
• Wide Column DBs

🔟Database Scaling
• Caching
• Connection Pooling
• Distributed Databases

Most performance problems are database problems disguised as application problems.

Learn databases deeply.
Your future self will thank you.