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A snapshot of the $1.2 trillion freelance economy in the U.S. in the age of Covid-19
More than one-third of the American workforce freelance amid the Covid-19 pandemic, contributing $1.2 trillion to the U.S. economy, a study by Upwork revealed Tuesday. This was a 22% increase since ...<img src='https://images.unsplash.com/photo-1680603785991-2de42e30acdf?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwyMzg1fDB8MXxzZWFyY2h8MjR8fEZyZWVsYW5jZXxlbnwwfHwyfHwxNjgyNTg5NjIy&ixlib=rb-4.0.3&q=80&w=1080' />
Freelance Platforms Market Report 2025-2030: Industry Growth Driven by Shift to Gig Economy and Technology Advancements
Dublin, April 23, 2025 (GLOBE NEWSWIRE) -- The "Freelance Platforms - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering.The global market for Freelance Platforms was valued at US$5.6 Billion in 2024 and is projected to reach US$13.8 Billion by 2030, growing at a CAGR of 16.1% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the
Zinn Hub Sees Growing Global Adoption as Freelancers Seek Lower-Fee Alternative to Traditional Platforms
London-based digital services marketplace charges zero fees to buyers and offers freelancers up to $500 in commission-free sales with crypto payouts. LONDON, UNITED KINGDOM, March 7, 2026 ...<img src='https://images.unsplash.com/photo-1755436612568-a197417c1ddf?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=M3wyMzg1fDB8MXxzZWFyY2h8OHx8RnJlZWxhbmNlfGVufDB8fDJ8fDE3NTU3NTA0NDl8MA&ixlib=rb-4.1.0&q=80&w=1080' />
10 platforms people use to freelance full-time at home
Freelance sites are filled with all kinds of different jobs in absolutely every industry imaginable! There are data entr ...<img src='https://images.unsplash.com/photo-1732604449213-0d8f9c2ad257?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=M3wyMzg1fDB8MXxzZWFyY2h8MTl8fEZyZWVsYW5jZXxlbnwwfHwyfHwxNzM5MzQwNDg5fDA&ixlib=rb-4.0.3&q=80&w=1080' />
My typing game scored 41 on Lighthouse. Two days later it hit 100. Here's every fix.
I built a typing test called TypeVelocity. Pure HTML, CSS, and JavaScript β no React, no Next.js, no framework. Just files and a build script.I finally ran Lighthouse on it.Mobile: 41 Performance. 83 Accessibility. 92 SEO.Desktop was a 70 which sounds better until you realize passing is 90.Two days of debugging later:100/100/100/100. Both mobile and desktop.Here's what was actually wrong and what fixed it. CLS was 1.0 (yes, the maximum)This single issue was responsible for most of the damag
RISC-V Is Sloooow
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TypeScript Without a Build Step: Native Type Stripping in Node.js
For years, running TypeScript in Node.js meant picking your poison: ts-node, tsx, esbuild, or setting up a full tsc pipeline. Every new project started with the same ceremony -- install the compiler, configure tsconfig.json, wire up your scripts, and hope nothing breaks.That era is ending. Node.js v22.6+ ships with native TypeScript support via type stripping, and as of v22 (LTS) it is enabled by default. You can now run .ts files directly.node index.tsThat is it. No flags, no config, no extra
Complete Guide to Buy Verified Upwork Accounts Safely 2026
Discover where to buy verified Upwork accounts from trusted sources in 2026. This educational guide explains how services like ABUSMM are discussed online, what verified accounts mean, and how freelancers can avoid risks while starting their journey. πββ β Telegram : @Abusmmsββ β WhatsApp : +1 (312) 533-8937ββ β Email : [email protected]ββ β Facebook Page : Abusmmββ β Signal : +1 (682) 474-9468πΰΌ πππππ πππ ΰΌβ©₯ https://abusmm.comIntroduction: Understanding Verified Upwork Accounts in 2026Freela
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Stop relying on Regex for Email Validation (Here is a drop-in React component) Yahya LAZREK γ» Mar 8 #react #webdev #javascript #tutorial
Hisense's 2026 mid-range mini-LED TV comes in sizes up to 116 inches, because why not β and you can choose to have Google TV or not
Hisense says people want ever-bigger TVs, so it's making big mini-LEDs for 2026 <img src='https://cdn.mos.cms.futurecdn.net/Ww7STxPimDS8KRmFeH7F6k-1280-80.jpg' />
Nvidia might be about to reimagine AI agents at work with new 'NemoClaw' release
"NemoClaw" could be Nvidia's upcoming AI agent management and deployment platform. <img src='https://cdn.mos.cms.futurecdn.net/D9pZcgdPinp5ty7pPDjKeY-1280-80.png' />
Billion-Parameter Theories
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Philips just launched a new coffee maker with a 'conversational' virtual assistant to make sure your cappuccino is just right
This premium coffee maker can adjust its own internal brew settings to fine-tune your drinks β no barista knowledge or experience necessary. <img src='https://cdn.mos.cms.futurecdn.net/eNHREtCCm7CBKnJcjJdp5f-1280-80.png' />
React Week 22: Mastering useEffect Rules, Closures, Performance Optimization & Starting Redux
This week was mainly about understanding React behavior at a deeper level and beginning my journey into Redux state management.Instead of focusing on building large features, I spent most of my time studying how React works internally, especially around effects, closures, and performance optimization.These concepts are not always visible in the UI, but they are extremely important for writing predictable and efficient React applications. Understanding useEffect Rules and Best PracticesOne o
AI Can Vibe Code Now. So Whatβs the Actual Frontend Roadmap
Every week there's a new demo of someone shipping a full product with a single prompt. And every week, the same question quietly surfaces in the back of every learner's mindβbut nobody's giving it a straight answer. The Unscratchable ItchWe've all seen the timeline demos.A non-technical founder prompts a full UI into existence in thirty seconds. A seasoned engineer generates a complex dashboard over their morning coffee. The comment section declares frontend development deadβagain.I watch t
Ask HN: What early signal convinced you to pivot?
A lot of startup advice says to listen carefully to early users, but in practice the signals can be noisy.For people here who changed direction early, what was the thing that made it obvious?Was it weak retention, empty user interviews, bad conversion, inability to explain the value clearly, or something else?Iβm especially interested in signals that are easy to rationalize away at first.
Show HN: Mallo β An iOS AI companion that remembers you and checks in daily
Hi HN,I built Mallo, an iOS AI companion that remembers you and proactively checks in with you every day.### What it isMallo is a chat-based companion app for iOS. You talk to it like you would to a friend: about your day, your worries, your goals, or even trivial things. Under the hood, it:- extracts long-term memories from your conversations (people, events, preferences, recurring topics),- stores them in a structured way, and- uses them in future chats so it can say things like βHow did tha
Show HN: Prepare for coding interviews via deliberate practice
I built InterviewTraner to fix how people prepare for coding interviews. Most people grind LeetCode problems randomly or follow static lists, which is not very effective. InterviewTraner uses a deliberate practice engine to intelligently schedule which problems you should work on and when.How it works:- 1,800+ LeetCode problems organized into a prerequisite graph across all major topics (arrays, trees, graphs, DP, etc.).- The engine starts you on easy problems and only unlocks harder topics once
Ask HN: Getting a new job as a manager in the AI era (US)
Seasoned engineering manager here. I have big-tech on my resume along with two startups. I resigned in 2023 at a wrong time just when mass layoffs had started. I have been working at a startup but funds are running out. I am trying to get an interview but so far I did not have any luck.I am fairly good with system design and a bit rusty with code. AI certainly helps but doing leetcode is another battle.I don't know what's going on but I am seeing mostly auto-rejects from ATS. So far on
Show HN: I built a harness that blocks AI from building until ambiguity < 0.2
Most AI coding failures happen before the first line of code. The human shows up with a half-formed idea, the model fills in the gaps with assumptions, and 3 hours later you have working code for the wrong problem.Ouroboros runs a Socratic interview before execution. It scores ambiguity:Ambiguity = 1 - Ξ£(clarity_i Γ weight_i)If the score is above 0.2, it keeps asking. No code until the spec is locked.Once running, it doesn't loop by count β it loops until convergence:Similarity = 0.5 * nam