Review: TCL RM9L RGB-Mini LED (2026)
This massive 85-inch model is highly customizable but jaw-droppingly expensive.
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This massive 85-inch model is highly customizable but jaw-droppingly expensive.
Eight Sleep’s Pod 5 is great at its job, but its job is also watching you sleep.
The Matic is our favorite robot vacuum by a pretty comfortable margin. If you’ve been thinking about buying one, you may want to plan on doing it sooner than later. The company will raise its price by $250 on September 9th, going from $1,245 to $1,495. Matic told The Verge that the new price reflects […]
The Bublue BuVortex V5 ditches conventional skimming for a vortex-powered design that’s fascinating to watch, even if it’s severely impractical.
The homelab started flat. One /24, everything on it. My workstation, the NAS, the Proxmox host, and — over time — a growing list of workloads sharing the same broadcast domain because that was the path of least resistance. For a while, that was fine. A homelab running one workload doesn't need segmentation any more than a house needs an office door. Then I stood up an Akash provider. An Akash provider is, in shape, a Kubernetes cluster that accepts inbound tenant workloads from the internet — real deployments, paying for compute, containers I didn't write landing in namespaces on my hardware. The provider itself is documented at github.com/jjozzietech/akash-provider-ops-public — this piece is about the network underneath it. The containerisation posture itself is fine. I trust the isolation model. But trust isn't a network design. And the network at that moment had the tenant workload cluster sitting on the same subnet as my workstation, my NAS, and my Proxmox management interface. That was the moment I stopped thinking of the rack as a home network with extra boxes, and started thinking of it as a small data centre. This piece is the network design that came out of that shift. I'll cover the layout, the rules that hold it together, and the Nexus and Proxmox configs that anchor it — with the specifics of my own deployment sanitised. It's not a step-by-step replication guide. It's the design pattern, with enough of the shape to be useful and enough restraint to not double as a recon document for my own rack. // the original design The flat layout looked like this: home lan — 192.168.1.0/24 opnsense (perimeter) cisco nexus (dumb L2 switching) proxmox host workload VMs (all on the same subnet) What it got right: zero routing complexity, everything reachable from everywhere, fast to stand up. If you're running one project on a homelab, this is the correct design. Don't over-engineer it. What stopped working, as soon as the second project landed on the rack, was that the
Fourth of July weekend is the last great grill and griddle sale of the summer, including $250 off my favorite pellet smoker.
Smart speakers have spent the past few years searching for a compelling second act. Beyond music, timers, and controlling your lights, they've struggled to justify taking up space on the kitchen counter. AI promised to change that. Amazon debuted its new hardware powered by a revamped Alexa last fall, and now it's finally Google's turn. […]
With these high-tech automatic litter boxes, gone are the days of scooping and smells. Welcome to the future.
It may be tempting to control an entire power strip with a smart plug, but there are some things you should know about this setup.
It’s time for our annual Fourth of July grill episode here at Decoder. This is when we invite the CEOs of outdoor cooking companies onto the show to explain just how their businesses kind of look like every other business. And this is a very special edition. Today I’m talking to Roger Dahle, the CEO […]
Flipper Devices, a company that built a banned hacking device, now wants to hack your attention span.
First announced over a year ago in April 2025, the Busy Bar will be available for purchase starting on July 14th when the device also starts shipping. Created by the same team behind the Flipper Zero wireless multitool, the Busy Bar is instead described as a "productivity multitool" that relies on a pixelated LED display […]
Flipper Device's new Busy Bar will retail for $249.
I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0% — never edited a single file. Same model, same GPU, same tasks, but driven by a ~150-line LangGraph agent instead: 93% . The model was never the problem. The orchestrator was. Here's the benchmark — including the part nobody else measures, the electricity cost per correct task . Setup RTX 3090 (24 GB) + 128 GB RAM , models via ollama , Q4 quants, temp 0.2 5 recent open models × 2 orchestrators (opencode vs custom LangGraph ReAct with ollama-native tool-calling) 17 graded tasks (12 coding in Python/JS/C++ + 5 general-agent) with hidden unit tests Every run priced in GPU watts via my open-source homelab-monitor Results Model tok/s opencode adh. LangGraph adh. LangGraph coding LangGraph general Qwen3-Coder 30B-A3B 130 92% 100% 100% 100% GLM-4.5-Air 106B 5.7 0% 100% 89% 100% Devstral Small 24B 49 8% 53% 8% 40% Seed-OSS 36B 9.5 0% 7% 0% 20% DeepSeek-R1-Distill 32B 6.7 0% 0% 0% 0% Tool-adherence = % of tasks where the model actually called a tool instead of just printing code in chat. It was the master variable. (GLM's headline "93%" is its blended score across all 17 tasks: 89% coding + 100% general.) Three takeaways The framework can matter more than the model. opencode sends a frontier-shaped system prompt + 12 tools over its OpenAI-compat path; most local models fall back to chatting. Native tool-calling through a lean agent fixes that — GLM went 0% → 93%. (Qwen3-Coder is the exception: it's tuned for agentic tool use and aces opencode out of the box.) Acting ≠ solving. LangGraph made Devstral act (8% → 53% adherence) but not solve (coding stayed 8%). The framework decides whether a model acts; the model decides whether it's right. The wattmeter ranks honestly. Qwen solved tasks at ~0.0005 BGN each; the models that scored zero still burned 10–30× more energy for nothing. On a home rig, the cheapest model is the fast, correct one — and MoE (Qwen activates ~3B of 30B pe
Four years ago, overlooking a canal in Amsterdam, the smart home industry collectively launched Matter, the one interoperability standard to rule them all. Heralded as the solution to the industry's struggles, Matter was built on open standards and existing technologies and is the result of years of collaboration between traditional rivals, including Apple, Google, Amazon, […]
Everyone is sick of spam calls and creeper sites that show weirdos where you live—but can any service solve it?
I've been using Home Assistant for a few years and Trading212 for longer than that. It was inevitable these two things would end up connected. The Trading212 API is surprisingly good — portfolio value, individual positions, pies, dividends, all there. So I wrote a custom integration to pull it all into HA as sensors, then a Lovelace card to make it actually look decent on a dashboard rather than a wall of entity rows. The card does zero-config auto-discovery which was the bit I spent the most time on. You drop it on a dashboard and it finds your sensors automatically — no copying entity IDs, no manual config unless you want it. Five card types: portfolio overview with a sparkline, scrollable positions list, pies with goal progress, and a combined one if you want everything in one card. The sparkline was fiddly. HA's recorder only writes state changes, not regular samples, so if your portfolio value is flat between polls the chart has gaps. Had to smooth over those client-side. The part I use most though is the automations. Every weekday at 8am Alexa tells me where I stand: action : - action : notify.alexa_media_kitchen data : message : > Portfolio is worth {{ states('sensor.trading212_total_value') | float | round(0) | int }} pounds. Today you are {% if states('sensor.trading212_pnl_today') | float >= 0 %}up{% else %}down{% endif %} {{ states('sensor.trading212_pnl_today') | float | abs | round(2) }} pounds. data : type : tts And Friday at 6pm I get the weekly version with P&L for the week and which position moved the most. I like that it just tells me — if the market's had a bad week I'd probably avoid opening the app, but Alexa doesn't give me the option to ignore it. Both the integration and the card are on GitHub. The card is in HACS as a custom repo while it waits for default catalogue approval: https://github.com/Smart-Home-Assistant-UK/lovelace-trading212-card I wrote up the full setup with all the automation YAML here if you want to copy the whole thing: ful
We’ve already rounded up the best Philips Hue deals of Prime Day, but if you’re looking for something a little more budget-friendly, Govee’s latest sale is worth checking out. The company has heavily discounted several of its color-changing smart lamps, including the Table Lamp 2 ($53.99, down from $79.99), Floor Lamp Basic ($59.99, regularly $99.99), the […]
Ninja Creami Swirl, Crispi, Slushi, and Cafe Luxe Pro are all on Prime Day deals that will soon go away.
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 […]