Author Archives: Sarang Sheth

GameSir’s $79 MFi-compatible Controller Lets You Play PC & Xbox titles on an iPhone or iPad Mini

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Backbone has enjoyed relatively comfortable dominance in the iPhone controller market, but GameSir just made things considerably less comfortable. The GameSir G8 Plus MFi arrives as the company’s first MFi-certified product, bringing proven gaming hardware expertise to Apple’s ecosystem at an aggressive $79.99 price point. This puts GameSir $20 below the established market leader while matching many of its core features. The competitive landscape matters here because Backbone now faces much stronger competition from companies like GameSir, Gamevice, and Razer, making its premium positioning harder to justify. GameSir counters Backbone’s sleek design and app integration with Hall Effect technology, customizable faceplates, and dual back buttons. The G8 Plus MFi also supports both iOS and compact Android devices, offering flexibility that pure iPhone-focused controllers cannot match.

GameSir finally secured MFi certification, which means reliable performance and stable connectivity across iOS devices without the usual third-party controller jank. The company built its reputation on solid hardware, particularly with controllers like the standard G8 Plus that launched earlier this year with Bluetooth and battery support. This MFi version strips out both the battery and wireless connectivity to meet Apple’s specifications and hit that $79.99 price point. You’re getting a wired-only experience through a movable USB-C port, but the tradeoff includes pass-through charging so your phone doesn’t die mid-session. The telescopic design stretches to accommodate devices up to 215mm, which covers everything from standard iPhones to the iPad Mini, giving you way more versatility than you’d expect from a phone controller.

Designer: GameSir

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Hall Effect sensors in both the thumbsticks and analog triggers eliminate stick drift, which remains a persistent problem even in premium controllers. The mechanical D-pad provides tactile feedback that membrane alternatives can’t match, though the ABXY buttons use membrane technology to keep costs reasonable. Two programmable back buttons sit on laser-engraved grips, and the entire controller works with the GameSir app for customization. The detachable magnetic faceplate lets you swap thumbstick positions and rearrange the ABXY layout, something Backbone doesn’t offer at any price point. There’s also a 3.5mm audio jack for wired headphones, which matters more than you’d think when Bluetooth audio introduces latency in competitive games. GameSir clearly spent their engineering budget on components that affect gameplay rather than feature bloat.

No gyroscope means games that rely on motion controls won’t work properly, which eliminates a chunk of the iOS gaming library. The wired-only design lacks the flexibility of Backbone’s newer Pro model with its 40-hour battery and Bluetooth connectivity. GameSir’s app exists but doesn’t approach the polish or social features of Backbone’s ecosystem, which has become a genuine differentiator for the brand. Backbone built a game launcher, social platform, and recording hub that transforms the controller from a peripheral into a gaming experience. GameSir offers button remapping and firmware updates, which covers the basics but won’t replace your need for separate apps. You can tell where each company decided to compete and where they chose to concede ground.

The calculation for buyers comes down to whether Backbone’s ecosystem and brand cachet justify a 25% premium over GameSir’s hardware-focused approach. If you care about launching games from a unified interface, sharing clips with friends, or using your controller as a social hub, Backbone remains the obvious choice despite the higher cost. But if you want Hall Effect reliability, physical customization options, and the ability to use the same controller with both your iPhone and a compact Android tablet without switching devices, GameSir built exactly that product. The G8 Plus MFi proves you can compete with an established market leader by focusing on what actually matters to a specific segment of buyers. Backbone set the standard for mobile controllers on iOS, and now someone finally showed up with enough credibility to make the comparison worthwhile rather than embarrassing.

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ChatGPT-Powered Desk Mic gives your Existing Laptop Realtime Translation and Agentic Powers

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The most interesting AI hardware this year might not be a new screen or headset. It might be a microphone. Powerrider frames that idea very literally. It takes the form factor of a conference mic and refits it as a GPT‑4o terminal, so the same stem on your desk that handles Zoom calls can also translate in real time, summarize a briefing, or draft follow‑up emails while the meeting is still in progress.

What makes it feel clever is how little ceremony it adds. There is no new display to manage, just a few sculpted buttons for voice input, translation, and AI control. Tap, talk, and the response appears on your existing laptop, ready to paste into a chat, a slide deck, or a script. In a single accessory you get cleaner audio for podcasting and live streaming, plus a dedicated channel that turns casual speech into an ongoing conversation with ChatGPT.

Designer: Powerrider

Click Here to Buy Now: $59 $120 (56% off). Hurry, only a few left!

The hardware itself (model M1) weighs 290 grams and stands 107 millimeters tall, machined from aluminum alloy with a 60‑degree adjustable boom so you can talk comfortably without hunching over your keyboard. The capsule is an omni‑directional condenser tuned to pick up voice across a 100 to 15,000 Hz range, with DSP noise reduction baked into the signal chain. It samples at 16‑bit/48kHz, which puts it squarely in the clean‑enough category for content work without venturing into audiophile overkill. USB‑C handles both power and data, plus there is a 3.5mm jack if you want to monitor through headphones. The base houses four physical buttons, each programmable through companion software. One button wakes the AI mode, another triggers translation, a third handles dictation, and the fourth is a rotary knob that doubles as a mute toggle and volume dial.

This is where Powerrider stops being a mic and starts being a control surface. You can map those keys to custom GPT‑4o prompts, so tapping one button might fire off “translate the last paragraph into Spanish and make it sound conversational,” while another could trigger “rewrite this email to sound less corporate.” The software supports Windows 7 and up, plus macOS 10.15 or later, which covers most setups that still get security patches. The AI functions pull from a pretty expansive toolkit: text translation, PPT generation, AI drawing, background removal, speech writing, document conversion, image analysis, code generation, reading comprehension, Q&A, writing assistance, table creation, and mind mapping. Some of those feel gimmicky (I have yet to meet anyone who genuinely wants AI‑generated mind maps on demand), but the core translation and drafting tools hit real pain points if you work across languages or spend half your day rewriting the same three types of message.

The hook here is immediacy. Most of us already talk to ChatGPT, but we do it through a browser tab or a pinned app, which means context‑switching, copying text, pasting prompts, and generally breaking flow. Powerrider tries to make that interaction feel more like push‑to‑talk in a game or on a two‑way radio. You hold a key, speak the command, release, and the result lands in your active window or in a floating overlay, depending on how you configure it. That workflow collapses a six‑step process (open ChatGPT, type or paste, wait, copy response, switch back, paste again) into a two‑step one (press, speak). If you live in tools like Notion, Google Docs, or any IDE that supports text injection, the time savings compound quickly. The software also handles screenshot translation, which is genuinely useful if you are reading documentation, design files, or research papers in another language and want inline conversion without manually copying blocks of text into DeepL.

Because the mic itself is a legitimate audio interface, you can use it in OBS, Zoom, or any DAW that recognizes standard USB microphones. The frequency response is wide enough for vocal clarity but not so hyped that you get harsh sibilance or boomy proximity effects. Think more “podcast interview” than “ASMR whisper track.” The omni pickup pattern means you do not have to aim it perfectly, which is nice if you are someone who gestures while talking or shifts around in your chair. The DSP noise reduction does a decent job of killing keyboard clatter and ambient hum, though it is not going to save you if you are recording next to a mechanical keyboard with clicky blues or a window AC unit. For meeting‑quality audio and streaming voiceover work, it sits comfortably in the same tier as entry‑level USB mics like the Blue Yeti Nano or the HyperX SoloCast, but with the GPT layer on top.

The company behind the Powerrider is positioning this as part of a broader peripheral ecosystem, which is where things get more interesting. They are also offering an AI‑powered keyboard (model K1) and an AI‑powered mouse (model S1), both of which follow the same philosophy: take an essential input device and wire it directly to GPT‑4o so you can invoke AI functions without leaving your workspace. The keyboard is a 98‑key Crater mechanical with RGB backlighting, a volume knob, and three custom macro keys dedicated to AI tasks. It supports both wired USB and wireless 2.4GHz/Bluetooth 5.0 across four channels, and the battery will run for 148 hours of continuous typing with the backlight off, or about 16 hours with the RGB cranked. The mouse is a wireless optical with adjustable DPI up to 4000, seven buttons (including dedicated AI, custom, and search keys), and a two‑hour charge time for what they claim is several days of use. Both peripherals plug into the same software suite as the mic, so you can trigger translation, text generation, or document conversion from any of the three devices depending on which one is closest to your hand.

Powerrider is live on Kickstarter right now with a few weeks left in the campaign, and the pricing is structured around bundles. A single mic starts at $59 for the super early bird tier (limited to 300 units) or $69 for the regular early bird. The full “Powerrider AI One Suite” bundle, which includes one mic, one keyboard, and one mouse, is priced at $269 (down from a claimed $608 MSRP). You can also grab the mic plus keyboard for $169 or the mic plus mouse for $149. Add‑on pricing if you are already backing is $119 for the keyboard, $99 for the mouse, and $59 for an extra mic. Those numbers put the mic roughly on par with mid‑tier USB condensers, but with the AI layer effectively thrown in as the value‑add. Whether that trade‑off makes sense depends entirely on how much friction you currently feel when bouncing between your tools and ChatGPT, and whether you are willing to let a hardware button own part of that workflow instead of a keyboard shortcut or Alfred snippet.

Click Here to Buy Now: $59 $120 (56% off). Hurry, only a few left!

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How to Spot Fake AI Products at CES 2026 Before You Buy

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Merriam-Webster just named “slop” its word of the year, defining it as “digital content of low quality that is produced usually in quantity by means of artificial intelligence.” The choice is blunt, almost mocking, and it captures something that has been building for months: a collective exhaustion with AI hype that promises intelligence but delivers mediocrity. Over the past three months, that exhaustion has started bleeding into Wall Street. Investors, analysts, and even CEOs of AI companies themselves have been openly questioning whether we are living through an AI bubble. OpenAI’s Sam Altman warned in August that investors are “overexcited about AI,” and Google’s Sundar Pichai admitted to “elements of irrationality” in the sector. The tech industry is pouring trillions into AI infrastructure while revenues lag far behind, raising fears of a dot-com-style correction that could rattle the entire economy.

CES 2026 is going to be ground zero for this tension. Every booth will have an “AI-powered” sticker on something, and a lot of those products will be genuine innovations built on real on-device intelligence and agentic workflows. But a lot of them will also be slop: rebranded features, cloud-dependent gimmicks, and shallow marketing plays designed to ride the hype wave before it crashes. If you are walking the show floor or reading coverage from home, knowing how to separate real AI from fake AI is not just a consumer protection issue anymore. It is a survival skill for navigating a market that feeds on confusion and a general lack of awareness around actual Artificial Intelligence.

1. If it goes offline and stops working, it was never really AI

The simplest test for fake AI is also the most reliable: ask what happens when the internet connection drops. Real AI that lives on your device will keep functioning because the processing is happening locally, using dedicated chips and models stored in the gadget itself. Fake AI is just a thin client that calls a cloud API, and the moment your Wi-Fi cuts out, the “intelligence” disappears with it.

Picture a laptop at CES 2026 that claims to have an AI writing assistant. If that assistant can still summarize documents, rewrite paragraphs, and handle live transcription when you are on a plane with no internet, you are looking at real on-device AI. If it gives you an error message the second you disconnect, it is cloud-dependent marketing wrapped in an “AI PC” label. The same logic applies to TVs, smart home devices, robot vacuums, and wearables. Genuine AI products are designed to think locally, with cloud connectivity as an optional boost rather than a lifeline.

The distinction matters because on-device AI is expensive to build. It requires new silicon, tighter integration between hardware and software, and real engineering effort. Companies that invested in that infrastructure will want you to know it works offline because that is their competitive edge. Companies that skipped that step will either avoid the question or bury it in fine print. At CES 2026, press the demo staff on this: disconnect the device from the network and see if the AI features still run. If they do not, you just saved yourself from buying rebranded cloud software in a shiny box.

If your Robot Vacuum has Microsoft Copilot, RUN!

2. If it’s just a chatbot, it isn’t AI… it’s GPT Customer Care

The laziest fake AI move at CES 2026 will be products that open a chat window, let you type questions, and call that an AI feature. A chatbot is not product intelligence. It is a generic language model wrapper that any company can license from OpenAI, Anthropic, or Google in about a week, then slap their logo on top and call it innovation. If the only AI interaction your gadget offers is typing into a text box and getting conversational responses, you are not looking at an AI product. You are looking at customer service automation dressed up as a feature.

Real AI is embedded in how the product works. It is the robot vacuum that maps your home, decides which rooms need more attention, and schedules itself around your routine without you opening an app. It is the laptop that watches what you do, learns your workflow, and starts suggesting shortcuts or automating repetitive tasks before you ask. It is the TV that notices you always pause shows when your smart doorbell rings and starts doing it automatically. None of that requires a chat interface because the intelligence is baked into the behavior of the device itself, not bolted on as a separate conversation layer.

If a company demo at CES 2026 starts with “just ask it anything,” probe deeper. Can it take actions across the system, or does it just answer questions? Does it learn from how you use the product, or is it the same canned responses for everyone? Is the chat interface the only way to interact with the AI, or does the product also make smart decisions in the background without prompting? A chatbot can be useful, but it is table stakes now, not a differentiator. If that is the whole AI story, the company did not build AI into their product. They rented a language model and hoped you would not notice.

3. If the AI only does one narrow thing, it is probably just a renamed preset

Another red flag is when a product’s AI feature is weirdly specific and cannot generalize beyond a single task. A TV that has “AI motion smoothing” but no other intelligent behavior is not running a real AI model; it is running the same interpolation algorithm TVs have had for years, now rebranded with an AI label. A camera that has “AI portrait mode” but cannot recognize anything else is likely just using a basic depth sensor and calling it artificial intelligence. Real AI, especially the kind built into modern chips and operating systems, is designed to generalize across tasks: it can recognize objects, understand context, predict user intent, and coordinate with other devices.

Ask yourself: does this product’s AI learn, adapt, or handle multiple scenarios, or does it just trigger a preset when you press a button? If it is the latter, you are looking at a marketing gimmick. Fake AI products love to hide behind phrases like “AI-enhanced” or “AI-optimized,” which sound impressive but are deliberately vague. Real AI products will tell you exactly what the system is doing: “on-device object recognition,” “local natural language processing,” “agentic task coordination.” Specificity is a sign of substance. Vagueness is a sign of slop.

The other giveaway is whether the AI improves over time. Genuine AI systems get smarter as they process more data and learn from user behavior, often through firmware updates that improve the underlying models. Fake AI products ship with a fixed set of presets and never change. At CES 2026, ask demo reps if the product’s AI will improve after launch, how updates work, and whether the intelligence adapts to individual users. If they cannot give you a clear answer, you are looking at a one-time software trick masquerading as artificial intelligence.

Don’t fall for ‘AI Enhancement’ presets or buttons that don’t do anything related to AI.

4. If the company cannot explain what the AI actually does, walk away

Fake AI thrives on ambiguity. Companies that bolt a chatbot onto a product and call it AI-powered know they do not have a real differentiator, so they lean into buzzwords and avoid specifics. Real AI companies, by contrast, will happily explain what their models do, where the processing happens, and what problems the AI solves that the previous generation could not. If a booth rep at CES 2026 gives you vague non-answers like “it uses machine learning to optimize performance” without defining what gets optimized or how, that is a warning sign.

Push for concrete examples. If a smart home hub claims to have AI coordination, ask: what decisions does it make on its own, and what still requires manual setup? If a wearable says it has AI health coaching, ask: is the analysis happening on the device or in the cloud, and can it work offline while hiking in the wilderness? If a laptop advertises an AI assistant, ask: what can it do without an internet connection, and does it integrate with other apps (agentic) or just sit in a sidebar? Companies with real AI will have detailed, confident answers because they built the system from the ground up. Companies with fake AI will deflect, generalize, or change the subject.

The other test is whether the AI claim matches the price and the hardware. If a $200 gadget promises the same on-device AI capabilities as a $1,500 laptop with a dedicated neural processing unit, somebody is lying. Real AI requires real silicon, and that silicon costs money. Budget products can absolutely have useful AI features, but they will typically offload more work to the cloud or use simpler models. If the pricing does not line up with the technical claims, it is worth being skeptical. At CES 2026, ask what chip is powering the AI, whether it has a dedicated NPU, and how much of the intelligence is local versus cloud-based. If they cannot or will not tell you, that is your cue to move on.

5. Check if the AI plays well with others, or if it lives in a silo

One of the clearest differences between real agentic AI and fake “AI inside” products is interoperability. Genuine AI systems are designed to coordinate with other devices, share context, and act on your behalf across an ecosystem. Fake AI products exist in isolation: they have a chatbot you can talk to, but it does not connect to anything else, and it cannot take actions beyond its own narrow interface. Samsung’s CES 2026 exhibit is explicitly built around AI and interoperability, with appliances, TVs, and smart home products all coordinated by a shared AI layer. That is what real agentic AI looks like: the fridge, washer, vacuum, and thermostat all understand context and can make decisions together without you micromanaging each one. Fake AI, by contrast, gives you five isolated apps with five separate chatbots, none of which talk to each other. If a product at CES 2026 claims to have AI but cannot integrate with the rest of your smart home, car, or workflow, it is not delivering the core promise of agentic systems.

Ask demo reps: does this work with other brands, or only within your ecosystem? Can it trigger actions in other apps or devices, or does it just respond to questions? Does it understand my preferences across multiple products, or does each device start from scratch? Companies that built real AI ecosystems will brag about cross-device coordination because it is hard to pull off and it is the whole point. Companies selling fake AI will either avoid the topic or try to upsell you on buying everything from them, which is a sign they do not have real interoperability.

6. When in doubt, look for the slop

The rise of AI-generated “slop” gives you a shortcut for spotting lazy AI products: if the marketing materials, product images, or demo videos look AI-generated and low-effort, the product itself is probably shallow too. Merriam-Webster defines slop as low-quality digital content produced in quantity by AI, and it has flooded everything from social media to advertising to product launches. Brands that cut corners on their own marketing by using obviously AI-generated visuals are signaling that they also cut corners on the actual product development.

Watch for telltale signs: weird proportions in product photos, uncanny facial expressions in lifestyle shots, text that sounds generic and buzzword-heavy with no real specifics, and claims that are too good to be true with no technical backing. Real AI products are built by companies that care about craft, and that care shows up in how they present the product. Fake AI products are built by companies chasing a trend, and the slop in their marketing is the giveaway. At CES 2026, trust your instincts: if the booth, the video, or the pitch feels hollow and mass-produced, the gadget probably is too.

The post How to Spot Fake AI Products at CES 2026 Before You Buy first appeared on Yanko Design.

This $2,899 Desktop AI Computer With RTX 5090M Lets You Cancel Every AI Subscription Forever

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Look across the history of consumer tech and a pattern appears. Ownership gives way to services, and services become subscriptions. We went from stacks of DVDs to streaming movies online, from external drives for storing data and backups to cloud drives, from MP3s on a player to Spotify subscriptions, from one time software licenses to recurring plans. But when AI arrived, it skipped the ownership phase entirely. Intelligence came as a service, priced per month or per million tokens. No ownership, no privacy. Just a $20 a month fee.

A device like Olares One rearranges that relationship. It compresses a full AI stack into a desktop sized box that behaves less like a website and more like a personal studio. You install models the way you once installed apps. You shape its behavior over time, training it on your documents, your archives, your creative habits. The result is an assistant that feels less rented and more grown, with privacy, latency, and long term cost all tilting back toward the owner.

Designer: Olares

Click Here to Buy Now: $2,899 $3,999 (28% off) Hurry! Only 15/320 units left!

The pitch is straightforward. Take the guts of a $4,000 gaming laptop, strip out the screen and keyboard, put everything in a minimalist chassis that looks like Apple designed a chonky Mac mini, and tune it for sustained performance instead of portability. Dimensions are 320 x 197 x 55mm, weighs 2.15 kg without the PSU, and the whole package pulls 330 watts under full load. Inside sits an Intel Core Ultra 9 275HX with 24 cores running up to 5.4 GHz and 36 MB of cache, the same chip you would find in flagship creator laptops this year. The GPU is an NVIDIA GeForce RTX 5090 Mobile with 24 GB of GDDR7 VRAM, 1824 AI TOPS of tensor performance, and a 175W max TGP. Pair that with 96 GB of DDR5 RAM at 5600 MHz and a PCIe 4.0 NVMe SSD, and you have workstation level compute in a box smaller than most soundbars.

Olares OS runs on top of all that hardware, and it is open source, which means you can audit the code, fork it, or wipe it entirely if you want. Out of the box it behaves like a personal cloud with an app store containing over 200 applications ready to deploy with one click. Think Docker and Kubernetes, but without needing to touch a terminal unless you want to. The interface looks clean, almost suspiciously clean, like someone finally asked what would happen if you gave a NAS the polish of an iPhone. You get a unified account system so all your apps share a single login, configurable multi factor authentication, enterprise grade sandboxing for third party apps, and Tailscale integration that lets you access your Olares box securely from anywhere in the world. Your data stays on your hardware, full stop.

I have been tinkering with local LLMs for the past year, and the setup has always been the worst part. You spend hours wrestling with CUDA drivers, Python environments, and obscure GitHub repos just to get a model running, and then you realize you need a different frontend for image generation and another tool for managing multiple models and suddenly you have seven terminal windows open and nothing talks to each other. Olares solves that friction by bundling everything into a coherent ecosystem. Chat agents like Open WebUI and Lobe Chat, general agents like Suna and OWL, AI search with Perplexica and SearXNG, coding assistants like Void, design agents like Denpot, deep research tools like DeerFlow, task automation with n8n and Dify. Local LLMs include Ollama, vLLM, and SGIL. You also get observability tools like Grafana, Prometheus, and Langfuse so you can actually monitor what your models are doing. The philosophy is simple. String together workflows that feel as fluid as using a cloud service, except everything runs on metal you control.

Gaming on this thing is a legitimate use case, which feels almost incidental given the AI focus but makes total sense once you look at the hardware. That RTX 5090 Mobile with 24 GB of VRAM and 175 watts of power can handle AAA titles at high settings, and because the machine is designed as a desktop box, you can hook it up to any monitor or TV you want. Olares positions this as a way to turn your Steam library into a personal cloud gaming service. You install your games on the Olares One, then stream them to your phone, tablet, or laptop from anywhere. It is like running your own GeForce Now or Xbox Cloud Gaming, except you own the server and there are no monthly fees eating into your budget. The 2 TB of NVMe storage gives you room for a decent library, and if you need more, the system uses standard M.2 drives, so upgrades are straightforward.

Cooling is borrowed from high end laptops, with a 2.8mm vapor chamber and a 176 layer copper fin array handling heat dissipation across a massive 310,000 square millimeter surface. Two custom 54 blade fans keep everything moving, and the acoustic tuning is genuinely impressive. At idle, the system sits at 19 dB, which is whisper quiet. Under full GPU and CPU load, it climbs to 38.8 dB, quieter than most gaming desktops and even some laptops. Thermal control keeps things stable at 43.8 degrees Celsius under sustained loads, which means you can run inference on a 70B model or render a Blender scene without the fans turning into jet engines. I have used plenty of small form factor PCs that sound like they are preparing for liftoff the moment you ask them to do anything demanding, so this is a welcome change.

RAGFlow and AnythingLLM handle retrieval augmented generation, which lets you feed your own documents, notes, and files into your AI models so they can answer questions about your specific data. Wise and Files manage your media and documents, all searchable and indexed locally. There is a digital secret garden feature that keeps an AI powered local first reader for articles and research, with third party integration so you can pull in content from RSS feeds or save articles for later. The configuration hub lets you manage storage, backups, network settings, and app deployments without touching config files, and there is a full Kubernetes console if you want to go deep. The no CLI Kubernetes interface is a big deal for people who want the power of container orchestration but do not want to memorize kubectl commands. You get centralized control, performance monitoring at a glance, and the ability to spin up or tear down services in seconds.

Olares makes a blunt economic argument. If you are using Midjourney, Runway, ChatGPT Pro, and Manus for creative work, you are probably spending around $6,456 per year per user. For a five person team, that balloons to $32,280 annually. Olares One costs $2,899 for the hardware (early-bird pricing), which breaks down to about $22.20 per month per user over three years if you split it across a five person team. Your data stays private, stored locally on your own hardware instead of floating through someone else’s data center. You get a unified hub of over 200 apps with one click installs, so there are no fragmented tools or inconsistent experiences. Performance is fast and reliable, even when you are offline, because everything runs on device. You own the infrastructure, which means unconditional and sovereign control over your tools and data. The rented AI stack leaves you as a tenant with conditional and revocable access.

Ports include Thunderbolt 5, RJ45 Ethernet at 2.5 Gbps, USB A, and HDMI 2.1, plus Wi-Fi 7 and Bluetooth 5.4 for wireless connectivity. The industrial design leans heavily into the golden ratio aesthetic, with smooth curves and a matte aluminum finish that would not look out of place next to a high end monitor or a piece of studio equipment. It feels like someone took the guts of a $4,000 gaming laptop, stripped out the compromises of portability, and optimized everything for sustained performance and quietness. The result is a machine that can handle creative work, AI experimentation, gaming, and personal cloud duties without breaking a sweat or your eardrums.

Olares One is available now on Kickstarter, with units expected to ship early next year. The base configuration with the RTX 5090 Mobile, Intel Core Ultra 9 275HX, 96 GB RAM, and 2 TB SSD is priced at a discounted $2,899 for early-bird backers (MSRP $3,999). That still is a substantial upfront cost, but when you compare it to the ongoing expense of cloud AI subscriptions and the privacy compromises that come with them, the math starts to make sense. You pay once, and the machine is yours. No throttling, no price hikes, no terms of service updates that quietly change what the company can do with your data. If you have been looking for a way to bring AI home without sacrificing capability or convenience, this is probably the most polished attempt at that idea so far.

Click Here to Buy Now: $2,899 $3,999 (28% off) Hurry! Only 15/320 units left!

The post This $2,899 Desktop AI Computer With RTX 5090M Lets You Cancel Every AI Subscription Forever first appeared on Yanko Design.

How Coca Cola’s Benny Lee Is Redefining Industrial Design as Storytelling, Not Just “Making Products”

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Design Mindset steps into episode 16 with a clear purpose: to understand how industrial designers are navigating a world where tools, platforms, and expectations keep shifting under their feet. Yanko Design’s weekly podcast, Design Mindset, powered by KeyShot, is less about design celebrity and more about design thinking, unpacking how decisions get made, how stories are built around products, and how technology is reshaping the craft from the inside out. Each week, a new episode premieres with designers who are actively pushing workflows, visuals, and experiences into new territory.

This episode features Benny Lee, Senior Design Manager of Technology and Strategic Partnerships at The Coca-Cola Company, and a practitioner who moves comfortably between mass production, digital ecosystems, and even film props. Trained as an industrial designer, Benny started at Coke in a traditional ID role while also leading visualization, bringing advanced 3D rendering into a company that was still heavily reliant on Photoshop and 2D assets. He now sits at the intersection of heritage and innovation, helping a 140 year old brand adopt real time visualization, AI, and new storytelling platforms without losing what makes Coca-Cola recognizable everywhere.

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Storytelling as the real job of industrial design

Benny treats industrial design as a storytelling discipline first and a styling discipline second. His training spans sketching, 3D modeling, rendering, and prototyping, but he frames each of these as a narrative tool rather than a technical checkpoint. Sketches, CAD, and renders exist to show what a product does, how it behaves, and how it should feel to use, not just how it looks on a white background.

Inside a large organization, that narrative focus becomes practical very quickly. He puts it plainly in the conversation: “Storytelling as an ID, you know, is important because it’s all about bringing this visual alignment of the actual product when you’re trying to get a buy in to sell in.” The job is to reach a point where the design communicates its intent on its own, without the designer in the room. Call to action areas, material breaks, and even lighting choices in a render become part of that silent story, aligning stakeholders around what the product is supposed to be.

When rendering becomes a thinking tool, not just a final output

When Benny joined Coca-Cola, much of the visualization work sat in a 2D world. Concepts were often built through Photoshop and static compositions, heavily intertwined with graphic design. He talks about the shift he helped drive quite directly: “I find it really quite an honor and a pleasure that I was able to bring 3D renderings into the practice here.” That move to 3D was not just about realism, it was about adding depth to how ideas are explored and communicated.

The key change is that rendering is no longer treated as the last step before a presentation. Tools like KeyShot become part of the exploration loop. Benny uses quick CAD setups and fast render passes to test light, material, and even simple motion, and to storyboard how a product opens, glows, or reacts in context. He describes this as a way to “fail fast, iterate faster,” and he underlines that “we don’t always just use renderings to create pretty visuals and a lot of times we’re using it to build new experience.” Visualization turns into a thinking environment, especially valuable when physical labs and prototypes are slow or limited.

Respecting a 140 year old brand while pushing it into new arenas

Designing at Coca-Cola means working around a product that barely changes. The formula in the bottle remains constant, so innovation happens in the ecosystem that surrounds it. Packaging systems, retail touchpoints, digital layers, and immersive experiences become the canvas where design can move, while the core product stays familiar.

Benny describes his role with a custodian mindset. He imagines the brand as a skyscraper built over generations, and his work as adding “layers of bricks” rather than ripping out foundations. That perspective shows up in how Coca-Cola experiments with new platforms. The company explores metaverse activations, NFTs, experiential installations, and AI driven storytelling, not as disconnected stunts but as new ways to retell the same product story for new audiences. The strategy, as he frames it, is to adapt the ecosystem and technology “to retell the product’s story” while staying true to the brand’s core character.

Mass production versus one off film props

Benny’s portfolio stretches across lifestyle accessories, consumer electronics, and concept work for films like the Avengers. On the surface, the process for these domains begins similarly, with sketching, modeling, and rendering. The divergence appears when the work hits reality. In consumer products, industrial design is tied to mass production, with all the constraints of tooling, factory collaboration, golden samples, logistics, and long term durability.

Film work operates under a different set of pressures. Concept art might start in tools like ZBrush with exaggerated, dramatic forms that look incredible on screen but are not remotely manufacturable in a traditional sense. Benny’s responsibility in those situations is to respect the creative vision while making it buildable. Props do not have to scale to millions of units. They have to survive a shoot and read correctly on camera. If one breaks, it can be rebuilt. That freedom shifts what is possible in form and material, but the throughline is still storytelling, captured in a few seconds of screen time instead of years of daily use.

Adapting to an ever expanding toolset without losing your core

Throughout the episode, Benny returns to the pace of change in design tools. Skills that were once specialized are now table stakes. Students are graduating with exposure to UI and UX, electronics integration, and AI enhanced workflows. He notes that “you have to wear so many hats,” and points out that traditional industrial design is becoming a “rare breed” precisely because the field has branched into web, mobile, service, and emerging tech work.

His response is not to chase mastery of every new tool, but to understand what each category can do and to build teams around that understanding. He emphasizes hiring people who are better than you at specific domains and managing the mix of skills rather than guarding personal expertise. In parallel, he argues that adaptation is now the most important traditional trait. The designers who thrive will be the ones who stay resilient, keep a story first mindset, and move fluidly between CAD, KeyShot, AI, and whatever comes next, while still grounding their decisions in how things work in the real world.

Design Mindset, powered by KeyShot, returns every week with conversations like this, tracing the connection between how designers think, the tools they use, and the work they put into the world. Episode 6 with Reid Schlegel leaves you with a simple, practical challenge: see your ideas sooner, in more ways, and with less fear of being imperfect.

Download your Free Trial of KeyShot Here

The post How Coca Cola’s Benny Lee Is Redefining Industrial Design as Storytelling, Not Just “Making Products” first appeared on Yanko Design.

This $109 Electric Moka Pot Lives on Your Desk, Not Your Stovetop

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Coffee at work usually means a compromise, a paper cup grabbed between meetings or a lukewarm pot abandoned in the break room. The Flarix Pro steps into that gap as a compact electric moka pot that lives wherever you do your best thinking, quietly promising a richer, more focused cup without sending you on a pilgrimage to the office kitchen. It is a simple proposition, but one that required a complete rethink of a century-old brewing method, trading the romance of the flame for the quiet reliability of a dedicated electric base. The goal is to make good coffee a feature of your workspace, not a distraction from it.

Instead of treating great coffee as a weekend luxury, this little brewer integrates it into your everyday life. Plug it in beside your laptop, fill it with water and fresh grounds, and a few minutes later you have a dense, aromatic moka style coffee that feels closer to a ritual than a chore. This is also in part thanks to its avant-garde Alessi-esque Italian-design form factor. On the hardware front, you’ve got basic electronics wrapped in some clever design details, which essentially rewrites when and where good coffee is allowed to happen. This is not about replacing the café; it is about reclaiming the ten minutes at your desk with something that feels personal and well-crafted. The entire package is an argument for better coffee, right here and right now, without asking you to change your workflow. Think Moka pot reinvented for the modern age, because everything’s about convenience – and nobody likes the idea of leaving their desk to make (or worse, buy) coffee elsewhere.

Designer: CDKM

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What makes this possible is the deliberate decoupling of the moka pot from the kitchen. By integrating a 365-watt heating element into a self-contained base, the designers have created a brewer that asks for nothing more than a standard wall socket. This modest power draw is key; it is low enough to play nice with office power strips and portable battery stations, making the “brew anywhere” claim feel credible. The unit weighs in at just 978 grams, light enough to be genuinely portable between home and the office. It is a clever piece of engineering that transforms the moka pot from a fixed kitchen appliance into a personal, relocatable coffee station that can follow you through your day.

Of course, putting a pressurized heating vessel on a desk crowded with electronics and paperwork demands a serious approach to safety. The Flarix Pro packs an Italian Albertinari safety valve – a world-class component known for its precise and reliable pressure release, and a critical feature in a device that literally operates on steam pressure. This is paired with a British Strix thermostat, the same kind of controller found in high-end electric kettles, which provides accurate temperature control and boil-dry protection. The system automatically shuts off when the brew is complete, a simple feature that provides enormous peace of mind when your attention is split between your coffee and your deadlines. Al; this is packed in a design that feels playful, unique, and pretty much deviates from the octagonal Moka pot design which feels almost like a template instead of an icon today. This product is fundamentally different, therefore it must look different, is the justification.

The Flarix Pro packs a patented spring-loaded funnel, which is a genuinely interesting departure from the standard passive funnel found in every other moka pot. This design appears to provide a gentle, consistent compression of the coffee grounds as you assemble the brewer. In theory, this could help create a more uniform coffee bed, reducing the risk of water finding a path of least resistance, a phenomenon known as channeling that leads to a thin, under-extracted brew. It is a small, mechanical detail that could have a significant impact on the final taste and consistency of the coffee, shot after shot.

The body is made from food-grade 304 stainless steel, which is durable, easy to clean, and does not impart any metallic taste to the coffee, a common complaint with older aluminum pots. The interior of the water chamber has been sandblasted, creating a matte texture that resists scale buildup and makes cleaning simpler. Even the spout has been carefully considered; its anti-drip design ensures a clean pour, an essential detail when you are serving coffee directly next to important documents or a keyboard. These are the kinds of thoughtful touches that separate a well-designed product from a mere novelty.

Flexibility is also built into the core design. The Flarix Pro comes with a dual-size filter basket, allowing you to easily switch between brewing two or four shots of moka coffee. This is a practical feature that acknowledges that coffee is not always a solo activity. The water chamber has clear internal markings for both volumes, removing any guesswork from the process. This adaptability makes the brewer suitable for a quick personal coffee break or for preparing a round for a small team meeting. The components are all fully detachable, which simplifies the cleaning process and prevents the buildup of old coffee residues that can ruin the taste of a fresh brew.

The result is an aesthetic and characteristic revival of the Moka Pot, which has been pretty much banished to the kitchen all its life. The Flarix Pro allows it to step out of its shell, and into any room you’d want to drink coffee in, whether it’s your home office, your workspace (accompanied by a few stares from coworkers, perhaps), your RV, or even your campsite. Although the classic brushed steel finish has my heart, CDKM offers a sky blue and a dark blue variant of the Flarix Pro, with a $109 price tag and global shipping starting February. Upgrade to the $199 perk, however, and you get the entire bundle, which also features milk steaming pitcher, a handheld electric milk frother, a coffee grinder, and an espresso cup + saucer.

Click Here to Buy Now: $109 $199 (45% off) Hurry! Only 11 days left.

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How AI Will Be Different at CES 2026: On‑Device Processing and Actual Agentic Productivity

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Last year, every other product at CES had a chatbot slapped onto it. Your TV could talk. Your fridge could answer trivia. Your laptop had a sidebar that would summarize your emails if you asked nicely. It was novel for about five minutes, then it became background noise. The whole “AI revolution” at CES 2024 and 2025 felt like a tech industry inside joke: everyone knew it was mostly marketing, but nobody wanted to be the one company without an AI sticker on the booth.

CES 2026 is shaping up differently. Coverage ahead of the show is already calling this the year AI stops being a feature you demo and starts being infrastructure you depend on. The shift is twofold: AI is moving from the cloud onto the device itself, and it is evolving from passive assistants that answer questions into agentic systems that take action on your behalf. Intel has confirmed it will introduce Panther Lake CPUs, AMD CEO Lisa Su is headlining the opening keynote with expectations around a Ryzen 7 9850X3D reveal, and Nvidia is rumored to be prepping an RTX 50 “Super” refresh. The silicon wars are heating up precisely because the companies making chips know that on-device AI is the only way this whole category becomes more than hype. If your gadget still depends entirely on a server farm to do anything interesting, it is already obsolete. Here’s what to expect at CES 2026… but more importantly, what to expect from AI in the near future.

Your laptop is finally becoming the thing running the models

Intel, AMD, and Nvidia are all using CES 2026 as a launching pad for next-generation silicon built around AI workloads. Intel has publicly committed to unveiling its Panther Lake CPUs at the show, chips designed with dedicated neural processing units baked in. AMD’s Lisa Su is doing the opening keynote, with strong buzz around a Ryzen 7 9850X3D that would appeal to gamers and creators who want local AI performance without sacrificing frame rates or render times. Nvidia’s press conference is rumored to focus on RTX 50 “Super” cards that push both graphics and AI inference into new territory. The pitch is straightforward: your next laptop or desktop is not a dumb terminal for ChatGPT; it is the machine actually running the models.

What does that look like in practice? Laptops at CES 2026 will be demoing live transcription and translation that happens entirely on the device, no cloud round trip required. You will see systems that can summarize browser tabs, rewrite documents, and handle background removal on video calls without sending a single frame to a server. Coverage is already predicting a big push toward on-device processing specifically to keep your data private and reduce reliance on cloud infrastructure. For gamers, the story is about AI upscaling and frame generation becoming table stakes, with new GPUs sold not just on raw FPS but on how quickly they can run local AI tools for modding, NPC dialogue generation, or streaming overlays. This is the year “AI PC” might finally mean something beyond a sticker.

Agentic AI is the difference between a chatbot and a butler

Pre-show coverage is leaning heavily on the phrase “agentic AI,” and it is worth understanding what that actually means. Traditional AI assistants answer questions: you ask for the weather, you get the weather. Agentic AI takes goals and executes multi-step workflows to achieve them. Observers expect to see devices at CES 2026 that do not just plan a trip but actually book the flights and reserve the tables, acting on your behalf with minimal supervision. The technical foundation for this is a combination of on-device models that understand context and cloud-based orchestration layers that can touch APIs, but the user experience is what matters: you stop micromanaging and start delegating.

Samsung is bringing its largest CES exhibit to date, merging home appliances, TVs, and smart home products into one massive space with AI and interoperability as the core message. Imagine a fridge, washer, TV, robot vacuum, and phone all coordinated by the same AI layer. The system notices you cooked something smoky, runs the air purifier a bit harder, and pushes a recipe suggestion based on leftovers. Your washer pings the TV when a cycle finishes, and the TV pauses your show at a natural break. None of this requires you to open an app or issue voice commands; the devices are just quietly making decisions based on context. That is the agentic promise, and CES 2026 is where companies will either prove they can deliver it or expose themselves as still stuck in the chatbot era.

Robot vacuums are the first agentic AI success story you can actually buy

CES 2026 is being framed by dedicated floorcare coverage as one of the most important years yet for robot vacuums and AI-powered home cleaning, with multiple brands receiving Innovation Awards and planning major product launches. This category quietly became the testing ground for agentic AI years before most people started using the phrase. Your robot vacuum already maps your home, plans routes, decides when to spot-clean high-traffic areas, schedules deep cleans when you are away, and increasingly maintains itself by emptying dust and washing its own mop pads. It does all of this with minimal cloud dependency; the brains are on the bot.

LG has already won a CES 2026 Innovation Award for a robot vacuum with a built-in station that hides inside an existing cabinet cavity, turning floorcare into an invisible, fully hands-free system. Ecovacs is previewing the Deebot X11 OmniCyclone as a CES 2026 Innovation Awards Honoree and promising its most ambitious lineup to date, pushing into whole-home robotics that go beyond vacuuming. Robotin is demoing the R2, a modular robot that combines autonomous vacuuming with automated carpet washing, moving from daily crumb patrol to actual deep cleaning. These bots are starting to integrate with broader smart home ecosystems, coordinating with your smart lock, thermostat, and calendar to figure out when you are home, when kids are asleep, and when the dog is outside. The robot vacuum category is proof that agentic AI can work in the real world, and CES 2026 is where other product categories are going to try to catch up.

TVs are getting Micro RGB panels and AI brains that learn your taste

LG has teased its first Micro RGB TV ahead of CES 2026, positioning it as the kind of screen that could make OLED owners feel jealous thanks to advantages in brightness, color control, and longevity. Transparent OLED panels are also making appearances in industrial contexts, like concept displays inside construction machinery cabins, hinting at similar tech eventually showing up in living rooms as disappearing TVs or glass partitions that become screens on demand. The hardware story is always important at CES, but the AI layer is where things get interesting for everyday use.

TV makers are layering AI on top of their panels in ways that go beyond simple upscaling. Expect personalized picture and sound profiles that learn your room conditions, content preferences, and viewing habits over time. The pitch is that your TV will automatically switch to low-latency gaming mode when it recognizes you launched a console, dim your smart lights when a movie starts, and adjust color temperature based on ambient light without you touching a remote. Some of this is genuine machine learning happening on-device, and some of it is still marketing spin on basic presets. The challenge for readers at CES 2026 will be figuring out which is which, but the direction is clear: TVs are positioning themselves as smart hubs that coordinate your living room, not just dumb displays waiting for HDMI input.

Gaming gear is wiring itself for AI rendering and 500 Hz dreams

HDMI Licensing Administrator is using CES 2026 to spotlight advanced HDMI gaming technologies with live demos focused on very high refresh rates and next-gen console and PC connectivity. Early prototypes of the Ultra96 HDMI cable, part of the new HDMI 2.2 specification, will be on display with the promise of higher bandwidth to support extreme refresh rates and resolutions. Picture a rig on the show floor: a 500 Hz gaming monitor, next-gen GPU, HDMI 2.2 cable, running an esports title at absurd frame rates with variable refresh rate and minimal latency. It is the kind of setup that makes Reddit threads explode.

GPUs are increasingly sold not just on raw FPS but on AI capabilities. AI upscaling like DLSS is already table stakes, but local AI is also powering streaming tools for background removal, audio cleanup, live captions, and even dynamic NPC dialogue in future games that require on-device inference rather than server-side processing. Nvidia’s rumored RTX 50 “Super” refresh is expected to double down on this positioning, selling the cards as both graphics and AI accelerators. For gamers and streamers, CES 2026 is where the industry will make the case that your rig needs to be built for AI workloads, not just prettier pixels. The infrastructure layer, cables and monitors included, is catching up to match that ambition.

What CES 2026 really tells us about where AI is going

The shift from cloud-dependent assistants to on-device agents is not just a technical upgrade; it is a fundamental change in how gadgets are designed and sold. When Intel, AMD, and Nvidia are all racing to build chips with dedicated AI accelerators, and when Samsung is reorganizing its entire CES exhibit around AI interoperability, the message is clear: companies are betting that local intelligence and cross-device coordination are the only paths forward. The chatbot era served its purpose as a proof of concept, but CES 2026 is where the industry starts delivering products that can think, act, and coordinate without constant cloud supervision.

What makes this year different from the past two is that the infrastructure is finally in place. The silicon can handle real-time inference. The software frameworks for agentic behavior are maturing. Robot vacuums are proving the model works at scale. TVs and smart home ecosystems are learning how to talk to each other without requiring users to become IT managers. The pieces are connecting, and CES 2026 is the first major event where you can see the whole system starting to work as one layer instead of a collection of isolated features.

The real question is what happens after the demos

Trade shows are designed to impress, and CES 2026 will have no shortage of polished demos where everything works perfectly. The real test comes in the six months after the show, when these products ship and people start using them in messy, real-world conditions. Does your AI PC actually keep your data private when it runs models locally, or does it still phone home for half its features? Does your smart home coordinate smoothly when you add devices from different brands, or does it fall apart the moment something breaks the script? Do robot vacuums handle the chaos of actual homes, or do they only shine in controlled environments?

The companies that win in 2026 and beyond will be the ones that designed their AI systems to handle failure, ambiguity, and the unpredictable messiness of how people actually live. CES 2026 is where you will see the roadmap. The year after is where you will see who actually built the roads. If you are walking the show floor or following the coverage, the most important question is not “what can this do in a demo,” but “what happens when it breaks, goes offline, or encounters something it was not trained for.” That is where the gap between real agentic AI and rebranded presets will become impossible to hide.

The post How AI Will Be Different at CES 2026: On‑Device Processing and Actual Agentic Productivity first appeared on Yanko Design.

The Infamous Butter Cookie Tin Finally Gets Its Own LEGO Set (Sewing Kit Not Included)

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Every single 80s and 90s kid remembers this tin, or at least some variation of it. You either were a part of the lucky few to open it to find delectable butter cookies inside, or you (like everyone else) popped it open only to be disappointed by finding not baked goods, but sewing equipment. I’m not entirely sure how an entire generation of adults just saw this tin box as the most appropriate storage place for threads and needles, but my house definitely had this box!

Designer Zuzu11 had a similar experience too, but the memory of that tin and the butter cookies inside lingers within his mind even to this day. Inspired by this unlikely cultural icon, Zuzu11 decided to give it its own LEGO set, complete with a beautifully detailed exterior as well as an interior stacked with LEGO cookies! Pop the lid open and you’re greeted by 5 pretty iconic shapes, a plain circle, a crusted circle, a rounded rectangle, a piped swirl, and a pretzel-shaped cookie on the inside. I don’t know about you, but I can practically smell the butter from the screen!

Designer: Zuzu11

Long after I grew up, I decided I wanted to correct the childhood trauma by actually buying a tin for myself and tasting the cookies inside. I don’t remember who ate the cookies in my childhood, all I did was the tin with its eye-catching exterior, and the sewing equipment inside, and one very disappointed child. Even to this day, you could pop over at a grocery store and buy some variant of this cookie tin – nothing much has changed. The branding reads “Royal Dansk” Danish butter cookies, and the packaging is usually a vibrant blue with a farm landscape on the top and a graphic of the cookies on the bottom.

Zuzu11 stayed true to the original, with the exact same color scheme, but omitting the actual branding for 2 reasons – it’s difficult to replicate in LEGO on a small scale, and licensing can often be a complicated affair. Given this LEGO build’s fan-made unofficial nature, it seemed like the best option to just leave out the branding and focus on just the nostalgia.

To that end, this MOC (My Own Creation) is an absolute win. It features two removable lids (an outer and an inner), along with biscuits inside the tin box, wrapped in cups of baking paper. The second lid wasn’t a fixture in the original, but Zuzu11 added it just to recreate the sense of disappointment by having people open it to not find cookies inside! “This build is inspired by the classic butter cookie tin and its surprisingly rich cultural afterlife. What began as a simple container for biscuits slowly evolved into a universal household storage solution, most famously for sewing supplies,” they say. “The idea celebrates both sides of that story: the comfort of the cookies themselves, and the perfectly timed disappointment waiting inside once the lid is lifted.”

“This project transforms a shared childhood experience into a playful LEGO display model. It relies on recognition rather than explanation, humor rather than instruction, and memory rather than realism,” adds Zuzu11. “The result is a piece that feels instantly familiar, quietly funny, and surprisingly universal, a small reminder that sometimes the most memorable surprises were not cookies at all.”

For a massive portion of an entire generation, this box represented a journey from hope to disbelief and disappointment, but there was something always enchanting about the box itself. Nobody ever seemed to want to throw it away after the cookies were over, proving that the packaging was actually more valuable than the baked goods it held!

The drill with LEGO Ideas builds is that they usually rely on relatability and fan-appeal. While LEGO builds its own brick-sets, it has an entire platform dedicated to fan-made builds, where people share their own creations as well as vote for builds they love. MOCs that cross the 10,000 vote threshold then get reviewed by LEGO’s internal team and then get transformed into a retail box set that everyone can buy. If you’d like to capture a bit of childhood nostalgia with this kit, head down to the LEGO Ideas website and cast your vote!

The post The Infamous Butter Cookie Tin Finally Gets Its Own LEGO Set (Sewing Kit Not Included) first appeared on Yanko Design.

Your Car Now Has Its Own Fitness-Tracking ‘Smartwatch’, and It Costs Less Than $60

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Your smartwatch does not just count steps. It listens to your heart, your sleep, your stress, and builds a holistic picture of how your body is doing. GOOLOO’s DS200 DeepScan treats a car with the same level of curiosity. Tucked into the OBD2 port, it becomes a kind of automotive smartwatch, constantly sampling signals from engine, transmission, ABS, airbags, and more, then turning them into an understandable health profile for the vehicle. It lives in that interesting space where hardware minimalism meets software depth, a trend we see in all the best modern tools.

Instead of a single blinking “check engine” icon, the DS200 surfaces trends, patterns, and causes. It calculates volumetric efficiency the way a smartwatch tracks oxygen uptake, logs fault histories like workout sessions, and wraps gateway unlocks and reset procedures in a guided interface. The hardware is a tiny Bluetooth dongle. The real product is the feeling that your car’s inner life is finally as legible as your own health dashboard. This approach shifts the entire user experience from reactive panic to proactive understanding, which is a significant design leap in a category full of cryptic tools.

Designer: GOOLOO

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The physical unit itself is almost comically small, weighing just 2.89 ounces and measuring less than three inches long. It is the kind of object you plug in and forget about, a true set-and-forget sensor pod. The connection is handled over Bluetooth 5.0 with a reliable 33-foot range, so you are not tethered to the driver’s seat while you poke around in the app. All the heavy lifting, the real design intelligence, lives in the software on your phone. This is a deliberate choice. It keeps the hardware cost down and allows GOOLOO to push meaningful updates over Wi-Fi, evolving the tool’s brain without requiring new plastic.

That app is where the full-body scan happens, quite like how the smartwatch’s sensors ultimately send all the metrics to a fitness app for data-crunching. The DS200 performs a comprehensive sweep of all the vehicle’s major systems. We are talking about the engine, transmission, airbags, ABS, stability control, TPMS, immobilizer, gateway, steering, radio, and air conditioning. The AutoVIN feature automatically identifies the car, so you are spared the tedious process of manually entering model and year information. It is this depth of coverage that elevates the tool. It provides a complete diagnostic picture, showing how different systems are interacting, much like a health tracker correlating sleep quality with daytime stress levels.

This tool also provides active coaching – a fitness app might tell you to work on your cardio; the DS200 gives you the ability to perform an ABS bleed or force a DPF regeneration on your diesel truck. The software includes eight advanced service functions right out of the box, including resets for the oil light, electronic parking brake, steering angle sensor, and battery management system. This is where the DS200 moves beyond simple monitoring and becomes an active maintenance partner. These are functions that, until recently, were locked away in expensive, workshop-exclusive hardware, and having them in a sub-$100 dongle is frankly a little absurd in the best way possible.

What really gets my attention, though, is the inclusion of secure gateway unlock. If you have ever tried to perform a deep diagnostic on a modern FCA or Renault vehicle, you have certainly hit this wall. The gateway module blocks unauthorized tools from making changes. The DS200 has this authentication built in, with plans to add support for Nissan and Volkswagen in future updates. This single feature is a massive deal for serious DIYers and independent shops. It is the digital key that gets you past the velvet rope, allowing you to perform the resets and tests that other tools in this price bracket simply cannot.

Of course, this level of ongoing intelligence comes with a modern business model. You get the first year of full functionality for free, which is plenty of time to see if it fits your workflow. After that, it shifts to a subscription. The basic package runs $49.99 a year, while an enhanced tier with over 30 advanced special functions is $129.99. For a professional technician, this is a negligible cost of doing business. For a home gamer, it is a decision point. You are not just buying a piece of hardware; you are subscribing to an evolving diagnostic platform.

If you are thinking this might be the right tool for your garage, GOOLOO is running a promotion right now that sweetens the deal. They have tiered discounts, so you get $10 off a $150 spend, $20 off $200, and $50 off when you spend $400. Every order also ships with a free canvas bag. If you happen to cross the $268 threshold, they will throw in a 100W solar panel as well, which is a pretty hefty bonus. It is a good time to jump in if you have been looking for a way to get a clearer picture of your car’s health.

Click Here to Buy Now: $52.80 $89.99 (41% off). Hurry, deal ends in 48-hours!

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Human-Sized Pokéball Stands At 6 Feet Tall (And Has A Gaming Room Inside)

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Someone finally built a life-sized Pokéball you can actually climb inside, and honestly, it’s about damn time. For nearly three decades, we’ve been throwing these things at Pidgeys and Rattatas without ever really knowing what happens when that button clicks and the whole thing seals shut. The anime gave us vague red-light-energy-conversion-something explanations, the games treated it like a loading screen, and the trading cards just showed them closed. The mystery has persisted through 1,000+ Pokémon species, countless regional variants, and enough spin-off merchandise to fill a Snorlax’s stomach. Now a maker has gone full obsessive and constructed a 2-meter diameter functional Pokéball with a gaming room inside, and the build process is as chaotic as you’d expect when someone decides to turn childhood curiosity into a construction nightmare.

The project started with a simple question that’s plagued Pokémon fans since 1996: what’s inside a Pokéball? Instead of accepting Nintendo’s hand-wavy “they’re converted to energy” explanation, this builder decided to answer it the only way that makes sense for a ’90s kid: put a Nintendo 64 running Pokémon Stadium inside one. The irony is perfect. You’re sitting inside the device that’s supposed to contain Pokémon while playing a game about battling those same Pokémon on a console from the franchise’s golden era. It’s meta in the best possible way, and it scratches that specific nostalgia itch that only people who spent hours trying to catch Mewtwo with a regular Pokéball can appreciate.

Designer: Carlos 3D World

Building a 2-meter sphere that doesn’t look like low-poly trash is harder than you’d think. The structure uses CNC-cut plywood ribs as the skeleton, over 400 individual 3D-printed panels for the shell, then fiberglass and resin for strength. But getting there took multiple spectacular failures. Flexible MDF sheets? Kept breaking. Polystyrene construction material? Dimensional inconsistencies everywhere. The 3D printing solution worked but meant running multiple printers for weeks, upgrading to 0.8mm nozzles just to speed things up, and still ending up with 400+ pieces that needed assembly, alignment, and somehow had to form a smooth sphere. Each piece was 3mm thick, split in half to fit inside the printer beds, then glued back together with hot staples and jigs to maintain the curve. It’s the kind of project where you’re two months in and questioning every life choice that led you here.

The entry door required a minor compromise, but for a better user experience. Instead of splitting the Pokéball at its natural center line where it actually opens, there’s a cutout near the bottom. A proper equator split would mean climbing over a one-meter ledge every time you wanted to play some Pokémon Snap, which sounds cool in theory until you’re the third person trying to haul yourself up without spilling your drink. The lower door lets you walk in like a normal human while still maintaining that iconic spherical silhouette from the outside. It sits on hidden wheels under a green turf mat, so it looks like it’s chilling in tall grass but can actually roll wherever you need it. Practical design choices matter when your art project weighs several hundred pounds and needs to fit through doorways.

Finishing this thing was apparently hell. You’ve got 400+ 3D-printed segments meeting wood meeting fiberglass meeting resin, and every joint is a seam that needs smoothing. The builder slathered on putty, sanded away 90% of it, repeated that process until their arms fell off, and somehow got the surface smooth enough for that glossy red and white paint job. This is the part that separates people who finish ambitious projects from people who have half-built things decomposing in their garage. Weeks of sanding with respirators, dealing with dust everywhere, trying to make a sphere that’s technically made of hundreds of pieces read as one continuous surface. Nobody posts Instagram stories about the sanding phase, but it’s where most of the actual work happens.

Inside, there’s a Nintendo 64 hooked up to a CRT television, custom curved furniture, framed Pokémon cards, and lighting that makes the whole space feel intentional. The electrical system uses a disconnect plug so you can unplug the whole Pokéball and move it without rewiring, which is the kind of forethought that shows someone actually planned to use this thing beyond the initial build photos. Sitting inside while playing Pokémon Stadium on hardware from 1996 creates this recursive loop of nostalgia that works way better than it should. You’re experiencing the franchise through its original medium while physically occupying the space that defined how we interacted with these creatures. It’s experiential design that actually commits to the bit instead of just looking cool in photos.

Pokémon has always worked because it left gaps for imagination. How does a 32-foot Onix fit in there? What does it feel like inside? The games and anime never really explained it, so millions of kids filled in those blanks themselves (Are all humans vegans? We’ve never seen them eating Pokémon). Building a giant Pokéball with a gaming setup inside doesn’t answer the canonical questions, but it does something better. It takes that childhood wonder about what’s inside and makes it real in the most fitting way possible: by putting the games that started everything right at the center. You climb inside, pick up that three-pronged N64 controller, and suddenly you’re back in 1998 trying to beat the Elite Four while your mom yells that dinner’s ready. Except now you’re doing it from inside the icon that defined the entire franchise, which is exactly the kind of full-circle moment that makes you understand why someone would spend months building this thing in the first place.

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