标签：#art

Homes with many phone chargers pay more even when they're not using them.

The hire marks OpenAI's latest push into India, expanding offices, partnerships and hiring.

Foldables, watches and glasses could be on the way from Samsung.

The White House asked OpenAI to delay the rollout of its GPT-5.6 AI models, two weeks after Anthropic had to take its most advanced AI models offline.

Assa Abloy has laid off the majority of staff at Level Home, the smart lock company known for building smart tech into traditional-looking deadbolts, and is folding the business into Kwikset, according to a source familiar with the decision. The Verge obtained exclusive details from a person familiar with the restructuring who requested anonymity as […]

Vercel has released Eve, an open-source framework for building, deploying, and operating AI agents in production. The framework uses a filesystem-based project structure to organize agent instructions, tools, skills, subagents, communication channels, and scheduled tasks, enabling developers to define agent behavior while reducing the amount of supporting infrastructure they need to implement. By Daniel Dominguez

Join us on the livestream at 1 pm ET and ask questions about the aftermath of New Glenn.

Rock weathering may release or draw down carbon dioxide—it depends on the rock.

Michael Webster discusses the rise of headless AI agents and their impact on software delivery pipelines. He shares how massive, AI-generated pull requests create a severe bottleneck for human reviewers and introduce persistent technical debt. Learn how engineering leaders can leverage test impact analysis and automated validation pipelines to verify agentic output without sacrificing stability. By Michael Webster

Save up to $190 on your pass to TechCrunch Founder Summit 2026. Early Bird pricing ends today, at 11:59 p.m. PT, after which rates increase. Register now.

Philips Hue products don’t often see major discounts, which makes this year’s Prime Day deals especially notable. Prices have dropped significantly across much of the company’s smart lighting lineup, with deals on everything from smart bulb starter kits and sleep lamps to smart buttons. In some cases, the lowest prices are available directly from Philips […]

Diagrid has announced the release of Dapr 1.18, introducing what it calls Verifiable Execution, a new set of capabilities designed to bring cryptographic trust, provenance, and tamper-evident execution records to distributed applications and AI agents. By Craig Risi

Welcome to Walmart deals for folks who’d rather not shop at Amazon. These are the best gadget deals at Walmart this Prime Day.

From October this year Samsung will roll out a variety of new paid tiers for access to its SmartThings API, including a $4.99 monthly plan for "non-commercial, individual developers." It won't just be developers that pay the price though. Some more advanced smart home users are likely to fall afoul of the rule change if […]

Qatar has become the place where FIFA experiments with the next generation of football technology. The results are already visible across this year’s World Cup.

Why adaptability beats perfection in startup software development The Startup Trap: Building for a Future That Doesn't Exist Yet Many startup founders make the same mistake. They spend months building the "perfect" product architecture. The code is clean. The design patterns are flawless. The test coverage is near 100%. The infrastructure can scale to millions of users. There's just one problem: They don't have any users. In the startup world, survival depends on learning faster than competitors, not on creating the most elegant codebase. Product-market fit is uncertain. Customer needs change weekly. Business models evolve. Features that seemed critical last month become irrelevant the next. In that environment, the biggest advantage isn't perfect code. It's malleable code . Code that can bend, adapt, and evolve as the business learns. What Is Malleable Code? Malleable code is software that is easy to change. It isn't necessarily perfect. It isn't over-engineered. It isn't designed to solve every future problem. Instead, it's designed to support continuous experimentation. Malleable code allows teams to: Launch MVPs quickly Test assumptions rapidly Respond to customer feedback Pivot when necessary Add new features without major rewrites Remove failed features with minimal effort Think of it this way: Perfect code optimizes for certainty. Malleable code optimizes for uncertainty. And startups operate almost entirely in uncertainty. When you're still searching for product-market fit, the ability to adapt is often more valuable than technical elegance. Why "Perfect" Code Often Hurts Startups Software engineers love solving technical problems. It's natural. Building a scalable architecture feels productive. Refactoring code feels productive. Designing the perfect system feels productive. But startup success isn't measured by code quality. It's measured by business outcomes. Questions such as: Are customers using the product? Are they paying for it? Are they returning? A

Don't pay full price—snag one of these tasty Prime Day tech deals on some of our favorite WIRED-tested gadgets.

Cross-posted from noflattery.com/decide — where I ran this exact question through a council of four different frontier models and let them argue it out. You're a solo founder at ~$8K MRR. You have runway for exactly one full-time hire. Which role unlocks the most growth? (A) a second engineer to ship features faster (B) a marketer to build a real acquisition channel (C) a customer-success / support hire to cut churn and free your time (D) a salesperson to chase larger deals The intuitive answer for most technical founders is A — more shipping velocity. The case below is for C , and it's stronger than it looks. (With one caveat that can flip the whole thing — stick around for it.) TL;DR: At ~$8K MRR solo, hire customer success first if churn is real or support is eating your week . If voluntary churn is under ~3% and support is light, hire a marketer instead. Engineer and sales come later. The case for customer success first 1. Churn quietly eats growth before features can add it. At $8K MRR, 5% monthly churn is ~$400/month bleeding out before you grow an inch. Across bootstrapped SaaS in the $5–15K MRR band, the strongest predictor of reaching $50K isn't feature velocity or channel — it's net revenue retention above 90% . That's a customer-success function, not an engineering one. 2. You are the bottleneck, and support is eating you. As a solo founder you're doing product, sales, billing, and support. If support takes ~15 hours a week, that's nearly 40% of your capacity — and it's the cheapest thing to hand off. A CS hire costs less than a senior engineer or an experienced salesperson, and it buys back the hours (and the headspace) you need to think strategically again. 3. It's a research department in disguise. A CS hire generates the highest volume of qualitative signal: why people leave, what they actually use, what they'd pay more for. An engineer builds what you think users want. CS tells you what they actually need — which means the engineer you hire next buil

Everything is expensive. Treat yourself to one of these WIRED-tested and -approved Prime Day picks under $30.

I run brand and product work for crypto and fintech companies, and this year the same request keeps landing on my desk, worded slightly differently each time: we don't want to look like crypto anymore. It comes from payment companies, exchanges, stablecoin startups — the ones that spent years looking like "the future" and now want to look like a bank. Or rather, a neobank. The first thing they ask to kill is the gradient. This isn't taste finally maturing. It's regulation. Under MiCA you can't operate in European crypto without a license, and a licensed company that still looks like a 2021 DeFi protocol has a problem its lawyers can't fix. So the whole industry is quietly repainting itself toward "trustworthy." Here's the trap I keep watching people walk into. The gradient everyone's fleeing is already being replaced by a new monoculture — the same off-white, the same restrained type, the same calm. Swapping a gradient for clean sans-serif feels like progress because it looks like the companies that already won (Stripe, Coinbase). But you're not them, and wearing the surface of a trusted brand doesn't make you inherit the trust. It's just a different uniform. The escape route became a traffic jam. The deeper issue: the audience flipped. For 15 years crypto brands were built for insiders who chose crypto because it wasn't a bank. The dark dashboard and the "to the moon" energy were tribe signals. But a licensed company now answers to regulators, banks, institutions, and normal people moving their salary — none of whom read a glowing gradient as "innovative." They read it as "unregulated." Same brand, overnight liability. And the part most people skip: trust isn't a color. It's spread across every surface you own, all the way down to the transaction detail nobody thinks about. A clean homepage in front of a 2021 dashboard isn't progress — it's a tell. The repackaging that works goes all the way down: the same restraint and clarity from the cold email to the onboarding