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Khalil Afridi
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Khalil Afridi
@khalilApriday
Cybersecurity | 🤖 AI | 💻 IT Solutions Expert 📈 Helping 10K+ professionals master emerging tech 🎯 Daily insights: AI tools, security, Linux 💬 DM for coll
مَیخانَہ Katılım Ekim 2010
883 Takip Edilen28.9K Takipçiler
Khalil Afridi retweetledi

I created a Github repository to learn System Design, and I'm excited to share that it crossed 35k stars recently.
The repository contains a collection of resources to study:
- System Design Core Concepts
- Networking and API Fundamentals
- Database and Caching Fundamentals
- Distributed Systems, Microservies and Architectural Patterns
- System Design Tradeoffs
- 40+ interview problems categorized by difficulty level
Check it out here: github.com/ashishps1/awes…
If you find the repo valuable, consider giving it a ⭐️ and share with others.
Thanks to everyone who has starred or forked the repository!

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@ihtesham2005 Been using it from last 8 years fantastic free application
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Two Bulgarian friends killed the entire streaming industry.
It's called Stremio + Torrentio. You get 4K content from Netflix, Disney+, Hulu, and HBO Max combined for free.
Here's how it works.
Stremio is the player. Clean interface. Works on Windows, macOS, Linux, Android, iOS, and TV. You install it once and it looks like any other streaming app.
Torrentio is the addon. You add it to Stremio in one click. It scrapes content from every major torrent provider on the internet simultaneously and delivers the best available stream directly to your player. 720p, 1080p, 4K. You pick the quality. It finds the link.
→ No account required
→ No subscription
→ Works on every device
→ 4K and HDR supported
→ Subtitles built in
Netflix cannot shut this down. There is no central server to seize. No company to pressure. No domain to kill. It runs on your device and pulls from the open internet.
The entire streaming industry is built on one assumption. That you will keep paying $70/month rather than spend 5 minutes on GitHub.
That assumption just died in Sofia, Bulgaria.
MIT License. 100% Opensource.
github.com/Stremio/stremi…
Get the addon here: stremio-addons.com/torrentio.html

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@MajidAB_ All our data is available for sale. Couriers company are selling our information
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Khalil Afridi retweetledi

Alex Xu's System Design Interview is the most recommended book in tech hiring.
Volume 1: $39.99 on Amazon.
Volume 2: $40.00 on Amazon.
Both together: $79.99.
Thousands of engineers have bought them. Millions have been told to buy them. Every tech interview prep list on the internet includes these two books.
In December 2024, one engineer at AWS read both volumes cover to cover.
His name is Gaurav Kumar. CS grad from USC. Day job at Amazon Web Services. He goes by liquidslr on GitHub.
He took notes on every single chapter. Organized them by topic. Linked every section to the original research papers from Amazon, Google, and Discord. Then he pushed the whole thing to GitHub for free.
Then he built a free website to read them on. He named it Pagefy.
Every chapter. Every diagram concept. Every system. Free. Forever.
Here is what is inside:
→ Chapter 1: Scale From Zero To Millions Of Users
→ Chapter 2: Back-of-the-Envelope Estimation
→ Chapter 3: A Framework For System Design Interviews
→ Chapter 4: Design A Rate Limiter
→ Chapter 5: Design Consistent Hashing
→ Chapter 6: Design A Key-Value Store
→ Chapter 7: Design A Unique ID Generator In Distributed Systems
→ Chapter 8: Design A URL Shortener
→ Chapter 9: Design A Web Crawler
→ Chapter 10: Design A Notification System
→ Chapter 11: Design A News Feed System
→ Chapter 12: Design A Chat System
→ Chapter 13: Design A Search Autocomplete System
→ Chapter 14: Design YouTube
→ Chapter 15: Design Google Drive
→ Chapter 16: Proximity Service
And that is Volume 1.
Volume 2 continues:
→ Nearby Friends
→ Google Maps
→ Distributed Message Queue
→ Metrics Monitoring and Alerting System
→ Ad Click Event Aggregation
→ Hotel Reservation System
→ Distributed Email Service
→ S3-like Object Storage
→ Real-Time Gaming Leaderboard
→ Payment System
→ Digital Wallet
→ Stock Exchange
Here is why this matters:
Every FAANG company asks system design questions. Google. Amazon. Meta. Microsoft. Apple. Netflix. Uber. Airbnb. Stripe.
The median software engineer at these companies makes $226,000. Senior makes $312,000. Staff makes $457,000.
The interview that stands between you and that salary is system design.
The book that everyone says to read costs $79.99. The official video course on ByteByteGo costs $499 for lifetime or $189 a year. Hello Interview charges $279 lifetime. Educative charges $59 a month.
These notes cover the same 28 chapters as the books. For $0.
Not a summary. Not a cheatsheet. Structured notes with diagrams, key concepts, and source papers for every chapter of both volumes. Browse them as a website at pagefy.io. Search any topic. Jump to any chapter at 1 AM the night before the interview.
5,555 stars. 1,059 forks. One AWS engineer on his own time.
One honest flag: there is no LICENSE file on the repo. These are study notes summarizing a copyrighted book. If you can afford $79.99, buy the books. Alex Xu deserves the royalty. These notes are for the night before, when you already read the book and forgot half of it.
One engineer. Two books. Twenty eight chapters. Free on GitHub.
The book teaches you the answers. This repo helps you remember them.

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Khalil Afridi retweetledi
Khalil Afridi retweetledi

🚀 Last Day to Enroll: Become an AI Engineer | By building, not just watching | Cohort 6!
After the amazing response to our first two cohorts, with nearly 1,000 people joining, we are excited to share that we’re opening the next round of Become an AI Engineer.
This is not your typical AI course focused only on tools and frameworks. The mission is simple: help engineers build strong foundations and practical end to end skills to grow confidently into AI engineering roles.
What makes this cohort stand out:
- Learn by building: You will create real world AI applications instead of just watching videos
- Clear and structured path: A thoughtfully designed curriculum that takes you from core concepts to advanced topics, step by step
- Live feedback and mentorship: Get hands on guidance from instructors and learn alongside peers
- Strong community: Learning is faster and more motivating when you are not doing it alone
We care deeply about skill building, not passive learning or surface level theory. The goal is for every participant to leave with the confidence and ability to build real AI systems.
Today is the last day to enroll before it starts.
--
Check it out here: go.bytebytego.com/ai-tw-post
#AI #AIEngineer #MachineLearning
.

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@ab_shakoor03 If you are looking for technical content related to All IT domains we can work on it. You can check my twitter profile
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میں نے 10 فیسبک پیجز خریدے ہیں، ان پہ ٹریفک پاکستان کی نہیں ہے ملائیشیا اور فلپائین وغیرہ کی ہئے، پیجز مونیٹائیزڈ ہیں، کنٹینٹ مونیٹائیزیشن ٹول کے ساتھ۔
وہ پیجز میں خود اپنے کنٹرول میں رکھنا چاہتا ہوں، اب میرا ارادہ ہے میں 10 ایسے لوگ اپنے ساتھ شامل کروں جو روزانی کی بنیاد پر پوسٹ کریں میں انکو ایڈمن بنا دوں گا۔
میں نے 20$ کا ایک پیج خریدہ ہے اگر کوئی بندا کو اچھا لکھنے اور کام کرنے والا ہو تو وہ کمینٹ کرے میں اس کو انباکس کروں گا، اگر اچھا کام کرتا ہوا وہ بندا تو اسکے ساتح 50٪ شئیر رکھ لوں گا۔
لیکن بندا ایماندار ہو کل کو جب 2 لاکھ سے اوپر پیسے آنے لگیں اپنا پیج بنانے کا نہ سوچنے لگ جائے۔ میں ساری زندگی چلوں گا الحمداللہ میں ایماندار ہوں۔ بندا / بندی کا کنٹینٹ اچھا ہو شوق ہو لکنھے کا، کام کرتا رہے بس۔
جو انٹرسٹڈ ہے وہ کمنٹ کرے، فضول میں وقت ضائع کرنے سے بہتر ہے کسی کے ساتھ جڑجائے۔۔۔۔
اردو
Khalil Afridi retweetledi

Build a modern LLM from scratch. Every line commented. Explained like we are five. github.com/raiyanyahya/ho…
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Khalil Afridi retweetledi

There will be no AI jobpocalypse.
The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it.
I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines.
Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%.
Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable!
Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more.
Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus.
To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market.
Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades.
Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have).
Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future!
[Original text in The Batch newsletter.]

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Every major economic opportunity in Pakistan was turned into a rent-seeking scheme for the elite.
1. Pakistan borrows billions. Instead of building exports, industry, and skilled human capital, the money disappears into mega-projects loaded with commissions.
Result: Every few years, Pakistan returns to the IMF with a begging bowl — while the elite parks wealth offshore.
2. Pakistan’s industry needed cheap electricity to compete globally. Instead, the system rewarded IPPs and guaranteed capacity payments for a connected few.
Result: IPP owners got richer. Industry got crushed under expensive power. Exports stagnated.
3. Farmers needed affordable fertiliser. Gas subsidies were supposed to support agriculture. Instead, subsidies became a pipeline for elite profits.
Result: Fertiliser cartels thrived. Agricultural productivity and exports barely moved.
4. Pakistan could have become a regional trade corridor linking Afghanistan and Central Asia. Instead, transit trade became a smuggling and money-laundering racket.
Result: Dollar flight, black markets, trade deficits, and a stagnant economy.
5. Pakistan needed world-class education and employable skills. Instead, degree factories multiplied while public universities decayed.
Result: Over 75,000 IT graduates every year — fewer than 5,000 employable.
The tragedy of Pakistan is not lack of opportunity.
It is that every opportunity became a business model for extraction instead of national growth.
We now have another opportunity with Pakistan's new found place at the center of world diplomacy and importance -- let's not squander this!

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@whatteverrsilly @102off119 Cloud, infrastructure, OT security, DevOps, Linux Administration, ML Engineering etc
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I used to think this was easy and then i looked at jobs outside IT and found myself insanely lucky for having such privilege. If you think people are lazy for not earning 300k by their 30s, then you're far away from ground reality
We are a poor nation for a reason
ℤ.@BabaFooka_
Although this is a copypasta tweet, the way people expect men in Pakistan to earn 300–400k at the age of 26–30 is crazy. It’s not easy. Unless you got generational wealth or a settled family business.
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Khalil Afridi retweetledi

If I had 6 months to become an AI Agent Engineer.
I’d do this.
Stage 1 — Python + APIs
Requests, async, JSON, FastAPI, websockets, SDKs.
Stage 2 — LLM Fundamentals
Tokens, context windows, transformers, embeddings, sampling.
Stage 3 — Prompt Engineering
Few-shot prompting, structured outputs, system prompts, evals.
Stage 4 — RAG Systems
Chunking, retrieval, reranking, vector DBs, hybrid search.
Stage 5 — AI Agents
Tool calling, memory, planning, workflows, multi-agent systems.
Stage 6 — Build Real Apps
AI copilots, research agents, browser agents, automation tools.
Stage 7 — AI Infrastructure
vLLM, Ollama, inference APIs, latency optimization, caching.
Stage 8 — MLOps + Deployment
Docker, CI/CD, monitoring, cloud deploys, observability.
Stage 9 — AI Product Thinking
UX for AI, hallucination handling, guardrails, reliability.
Stage 10 — Open Source + Portfolio
Ship projects publicly. Write docs. Record demos.
Stage 11 — Interview Prep
System design, LLM architecture, AI engineering patterns.
Stage 12 — Apply
AI Engineer, Agent Engineer, GenAI Engineer, Applied AI roles.
Most people stay stuck watching tutorials.
Builders get hired.
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Khalil Afridi retweetledi
Khalil Afridi retweetledi

I'm looking for 50 more software engineers to join my team at g2i.ai for the next week. We work with frontier labs to help them train models.
100 - 200 USD /hr. Fully remote. Hiring in 150+ countries. RT's appreciated!
jobs.ashbyhq.com/g2i/c07a8f96-d…
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@extremeforests @Afridi_Hassan @SKhanAthlete Travel between Mansehra - Ghari Habibullah-Muzaffarabad you will love it.
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