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🧵Our unique full-stack approach to AI lets us deliver powerful, cost-efficient products to developers and everyday users. But what exactly does it mean when a technology system is "full-stack,” and why is it so important to our approach? We talked to @rseroter, senior director and chief evangelist at @googlecloud, to break it all down 👇 Where does the phrase “full-stack” come from, and what does it mean when we’re talking about tech? @rseroter: The term "full-stack" originally came out in software development a decade or so ago — usually in regard to applications. Historically, building an app required multiple specialized teams: a front-end developer to build beautiful user interfaces, a back-end developer to handle server-side logic and a dedicated database team. The concept of a "full-stack engineer" emerged to describe a developer who could work across all of these functions independently. Instead of constantly handing off components from one person to another, a full-stack engineer could take an idea from a rough concept all the way to a fully running piece of software.
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"No matter who you are or where you are, a kid in Bangladesh, Estonia, wherever. If you have an idea, we want you to come to Solana and bring it to the entire world" – @mert, CEO of @Helius on @MarketBubble
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"The most fun team for LeBron to go to is San Antonio. He solves actual issues for them and could actually win the title with them. I really like the idea of him on that team, and I wouldn't consider it a ring chase."
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As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes: 1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship 2. Builder: quickly turns a prototype/idea into production-grade product/infra 3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance 4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit 5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS. A healthy team needs a mix of these, depending on the product: - A product that is new and pre-PMF needs people that are strong at 1+2+3 - A product that is growing and has found PMF needs 2+3+4 and some 5 - A product that has strong PMF needs 3+4+5 and some 2 Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
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Physical touch meets digital wellness this is where TimeSoul’s uniqueness stands! @timesoulcom does not seem to me like just a crypto-powered project. It is a mindfulness and well-being ecosystem where app, AI, GameFi, collectible experience, and community are all connected together. The most different side of TimeSoul is that it is not limited only to digital experience. Here, the TimeSoul App guides us toward mindfulness practice, healthier habits, and stress reduction. On the other hand, funny collectible plush toys have made the project more friendly, memorable, and community-driven. The following important parts have made this ecosystem even stronger👇 🔸 TimeSoul App 🔸 AI Coach 🔸 Mindfulness and stress reduction features 🔹 Funny collectible plush toys 🔹 Web3/GameFi-based engagement 🔹 NFT access and community experience In my opinion, the real power of Web3 can be understood when it does not stay stuck only in hype or tokens, but creates usable value in real life for users like us. TimeSoul has brought a different idea in this space. Here, wellness is not just practice; it is a connected experience where users can learn, connect, progress, and move forward as part of the community. @BingXOfficial $TTS #Mindfulness# #TimeSoul# #BingXBlast#
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我完全理解这种现象。AI 时代,take home project 甚至 GitHub 记录都不再能完全真实反映一个候选人的能力。这时候,教育背景和 LeetCode 这种有标准、可量化的筛选方式,会变得更受欢迎。 但是我又感觉,AI 时代有太多新知识需要学习,也有太多 idea 想去 build。刷题当然有它的意义,只是相比以前,我越来越觉得它的时间成本太高了(把刷题当放松的大佬除外!)
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In 2015 a writer named Tim Urban sat down and counted the days he had left with his parents. He was 34, healthy, both parents alive and well. The number came back around 300. Less time than he spent with them in any single year of his childhood. The post is called The Tail End, on a blog called Wait But Why. The idea is to stop counting your life in years and start counting it in events. Reach 90 and you get about 4,680 weeks, and every one of them fits on a single sheet of paper. Maybe 60 more winters after that. If you read five books a year, that is 300 books, picked from every book ever written. Those things at least spread out evenly. A third of the way through life means a third of the way through your pizzas. Time with the people you love does not work like that. Almost all of it sits at the very start. Then it is gone. For your first 18 years you are around your parents nearly every day. Then you leave for college or a job in another city, and a normal adult sees their parents maybe 10 days a year. So the day you move out, you are already at 93 percent. Urban was living in the last 5 percent and had no idea until he drew the chart. He called it the tail end. It does not stop at parents. His two sisters, after a whole childhood in the same house, had around 15 percent of their time together left. The four friends he played cards with most days in high school were down to their last 7 percent. Nobody had a fight. Nobody moved away angry. Life quietly spends the time for you while you assume there is plenty left. You do not have to be old to be near the end with someone. If your parents are alive and you live in a different city, you have probably already used more than 90 percent of the days you will ever spend in the same room as them. His one instruction is about that last stretch. When you are down to the final days with someone you love, treat that time like what it is, which is almost gone. The rest is the tail end, and it is much shorter than it feels.
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Bubble Code helps power the OPC economy. In this video, one person turns a simple idea into an online store for independent country-flag matchday gear: towels, totes, mugs, scarves, and more. No complex setup. Just a business goal, built into a working storefront.
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AI generation is becoming a bigger part of how creative teams move from idea to output. With Seedance 2.0 available through BytePlus, teams can move faster, maintain quality, and explore more ambitious creative directions. As platforms like @magnific continue shaping AI-powered creative workflows, how are creative teams rethinking what’s possible with AI?
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Introducing Canvas in Lumina 🚀 A node-based workspace designed to unify your entire content pipeline—from idea to production-ready content. Build your workflow once, then run it on repeat.
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