Elsa Duncan

Spaceflight organisation of the year ExitPolling: 🚨 🔵 NASA 32% (+11) ⬜ Gilmour Space 19% (+12) ⬛ SpaceX 12% (-18) 🟦 Blue Origin 11% (+6) 🟥 Rocket Lab 6% (-) 🟩 Other 20% (-1) Two Org Prefered: ⬜ Gilmour Space: 52% 🔵 NASA: 48% Testflight Biased polls inc. June 12-13, (+- May 23)

Someone wrote a guide on how to design Twitter. Then how to design Instagram. Then how to design Uber. Then how to design TinyURL. Then how to design Amazon's product catalog. Then how to design YouTube. Then how to design a web crawler. Then put all of it on GitHub. For free. Not a snippet. Not an overview. A complete deep-dive into every major system design interview question with diagrams, trade-offs, scaling strategies, and architectural decisions explained in detail. It is called the System Design Primer. 312,000 stars on GitHub. Built by Donne Martin, a former Facebook engineer who got tired of watching candidates fail technical interviews because nobody had taught them how to think about scale. Here is what is inside. How to design a URL shortener. How to design Pastebin. How to design Twitter. How to design a web crawler. How to design Mint. How to design Amazon's sales rank system. How to design a key-value cache. How to design a social network feed. How to design a notification system. How to design a chat system. How to design a search engine. How to design Uber. How to design Instagram's photo upload pipeline. How to design YouTube's video streaming. How to design Reddit's voting system. Each one includes: Functional and non-functional requirements. Capacity estimation. System interface definitions. Database schema design. High-level architectural diagrams. Deep-dive trade-offs on consistency, availability, and partition tolerance. Cache strategies. Load balancing approaches. Database sharding decisions. Real-world bottlenecks and how to solve them. Plus a complete reference section on the underlying concepts, CAP theorem, eventual consistency, CDN architecture, microservices, message queues, MapReduce, distributed databases, replication strategies, consensus algorithms. Here is why this matters. System design interviews are how Google, Meta, Amazon, Netflix, and every major tech company decide who they hire for senior engineering roles. A single failed system design interview can cost you a $300,000-per-year job offer. Interview prep companies charge $2,000 to $5,000 for system design coaching. Books on the topic cost $50 to $100 each. This repo gives you all of it. For free. Updated continuously by the community. Translated into 8 languages. Here is the wildest part. The people getting hired at top tech companies are reading this repo. The interviewers asking these questions are using this repo to design their interview rubrics. The hiring managers reviewing candidates are checking whether the answers match what is in this repo. The entire system design interview industry runs on knowledge that is freely available in one GitHub repository. 312,000 stars. CC-BY 4.0 license. The interview prep industry: $2,000 to $5,000 per candidate. Books: $50 to $100 each. Bootcamps: $15,000. System Design Primer: $0. Same content. Better organized. Updated weekly. Every senior engineering role at every major tech company. Solved in one repo. (Link in the comments)

CZ: "Will crypto die? Absolutely not... the super cycle will come."

happens to the best of us

Nano Banana 2 on Higgsfield Prompt Ultra-photorealistic 8K studio portrait collage of a woman with long, voluminous loose waves, natural glass-skin makeup, flushed cheeks, glossy pink lips, and defined lashes. She wears a tight bodycon mini dress made of soft textured boucle knit in soft mauve or neutral taupe, with spaghetti straps and a mid-thigh length. Studio setting: Warm off-white seamless backdrop with professional studio lighting. Large softbox from the front-left, reflector fill from the right, creating soft shadows and natural highlights on the lips, cheekbones, shoulders, and dress texture. Panel 1 (Top Left): Extreme close-up macro shot from a slightly low angle. Focus on lips and nose while delicately holding and eating a fresh strawberry. Shallow depth of field. Visible strawberry moisture, glossy lips, and fine baby hairs. Panel 2 (Top Right): Medium thigh-up portrait at eye level. Standing and leaning slightly toward the camera with relaxed arms. Direct gaze and confident pout. Emphasis on dress texture, collarbone shadows, and waist shape. Panel 3 (Bottom Left): Full-body seated side-profile shot. Sitting on the floor with knees drawn toward the chest, cheek resting gently on one knee. Soft, intimate mood with natural body positioning and elegant composition. Style: Fashion editorial photography, luxury magazine quality, realistic skin pores, detailed fabric textures, ray-traced lighting, shallow depth of field, natural color grading, ultra-sharp focus, professional studio photography.

Fable just suggested we NOT rebuild a feature because it already worked well. AGI achieved :)

New Siri is impressive

hey so what the Fuck is Going On

ps5のデュアルステックを交換して故障させた。 ドリフト頻発するので死にゲーが楽しめない。部品を基盤に外す際に多分逝った。 死にゲーの主人公みたいに挑戦した結果だわ。これは詰みだが次回用に部品を外す。

Belgian FSD approval

Linux Subsystem for macOS

طريقة مهمه لايعرفها الكثير في رفع الرام (RAM) في اجهزة ال Samsung

🇺🇸🇨🇳 The U.S. just labeled Alibaba, Baidu, and BYD as Chinese military companies. On its own, the designation changes nothing overnight. No immediate sanctions, no export bans, no blocked investments. But that's how this playbook always starts. The same tool was used on Huawei and SMIC before the restrictions that effectively cut them off from American chips and markets. The designation is the warning shot. The real action comes after. If the pattern holds, you're looking at potential export controls on critical components, blocked U.S. investment, and pressure on allies to follow suit. Three of China's most globally recognized brands in tech, AI, and EVs just got put on notice. Source: Bloomberg / Writer: Daniyal