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These are the Apple Watch accessories I recommend adding to your setup.

Auk’s Mini 2 improves on the original model with better lights, a sleeker design, and fun new colors.

We’ve been testing bands since the first Apple Watch launched in 2015. From silicone sports straps to leather bands, I’ve rounded up the best for every occasion.

I kept paying a monthly subscription for a cloud coding assistant while a 16GB M4 Mac mini sat on my desk idling most of the day. So I ran the obvious experiment: can a 16GB Mac mini run a coding assistant entirely offline — no code leaving the machine, no subscription — and is it actually usable for real work? Short answer: yes, with one hard constraint (RAM) and one soft one (context length). This article is the written version of the video above, with every command, config file, and benchmark number so you can reproduce it. Table of contents Why bother running locally The hardware constraint nobody mentions Step 1: Install Ollama Step 2: Pick a model that fits in 16GB Step 3: Run and verify Step 4: Wire it into VS Code Step 5: Tune Ollama for a 16GB box Benchmarks What it does well, what it doesn't Should you cancel Copilot? Why bother running locally Three reasons, in the order that actually mattered to me: Privacy. Client code, internal repos, anything under NDA — none of it leaves the machine. This is the one thing a hosted assistant cannot offer you at any price tier. Cost. A coding assistant subscription is roughly $100–240/yr depending on tier. The Mac mini was already bought. Offline. Flights, bad hotel wifi, coffee shop dead zones. The assistant just works. The reason not to: raw capability. The frontier hosted models are better at large multi-file reasoning, and it isn't close. More on that below. The hardware constraint nobody mentions On Apple Silicon, the GPU and CPU share one pool of unified memory. A model has to fit in that pool alongside macOS, your browser, VS Code, and whatever containers you're running . On a 16GB machine, macOS + a normal dev environment eats 6–8GB before you've loaded anything. That leaves you roughly 7–9GB of realistic headroom for the model. This single number determines everything else, and it's why "just run the 30B model" advice from people on 64GB machines doesn't transfer. By default macOS allows the GPU to use about 7

You're on the highway, hands on the wheel, and a message comes in. Or at least it should come in. Instead your car stays silent, or the notification shows up ten minutes later at a red light, or it reads out a name but the body never appears. If this sounds familiar, you're not dealing with a broken phone. You're dealing with the fact that Android Auto surfaced notifications very differently from your lock screen — and a lot of small settings have to line up for a message to actually reach you while you drive. Here's the mental model, the usual culprits, and the exact fixes. I've split the fix-it steps into separate deep-dives at the end, because "my messages don't show in the car" can mean five different things. The mental model: it's a separate pipeline On your phone, a message notification lives in the shade like any other notification. In Android Auto it's a different surface. Android Auto only pulls in notifications from apps it recognizes as messaging apps , and it deliberately filters them down to something safe to glance at while driving. That filtering is the whole game. A notification that's perfectly fine on your lock screen can be dropped, delayed, or stripped of its text in the car because one of these conditions isn't met: the app is enabled for Android Auto (not every app is, by default), the app has notification access granted, the phone isn't in a mode that suppresses it (Do Not Disturb, Driving mode), the app isn't being killed by battery optimization in the background, and the message is actually a message Android Auto understands (some apps send "silent" or summary notifications that AA ignores). Notice none of these are "the app is broken." They're configuration. Which is good news — they're all fixable. The usual culprits, in order of how often they're the cause 1. The app isn't enabled in Android Auto. Android Auto shows notifications from a curated set of messaging apps. Open Android Auto → Settings → Notifications → Configure notifications,

Imagine this: You’re drafting a long email, writing a report, or responding to a wave of Slack messages. Instead of hunching over your keyboard and typing at 40 words per minute, you simply hold down Ctrl + Space , speak your thoughts at 150+ words per minute, and release the keys. Instantly, clean, perfectly punctuated, polished text appears right where your cursor is. Meet Vacanam — a free, 100% private, offline voice typing tool built for Windows 10 & 11. 😫 Why Most Voice Typing Tools Are Frustrating If you’ve ever tried built-in dictation tools or commercial transcription services, you’ve likely run into the same annoyances: They Send Your Voice to the Cloud : Many tools stream your microphone audio to remote servers. If you work with sensitive emails, client data, or private thoughts, that’s an immediate dealbreaker. They Require an Internet Connection : Try dictating on an airplane, during spotty Wi-Fi, or in a secure offline room — they simply refuse to work. Punctuation is a Headache : You have to awkwardly say things like "Hello comma how are you question mark" just to get a basic sentence right. Subscription Fatigue : Most good dictation apps charge $10 to $30 every single month. We built Vacanam (वचनम् — Sanskrit for Voice & Speech ) to fix all of this once and for all. 🌟 The Superpowers: What Makes Vacanam Different? 1. 🎙️ Works in Every Single Windows App Vacanam doesn’t trap you inside a special recording window. It works universally: Productivity & Docs : Microsoft Word, Google Docs, Notion, Obsidian, OneNote Communication : Slack, Microsoft Teams, WhatsApp Desktop, Discord, Outlook, Gmail Browsers & Editors : Chrome, Edge, Firefox, Notepad, VS Code, Terminals Just click into any text box, hold Ctrl + Space, speak, and let go. 2. 🪄 Automatic AI Polish (No More "Ums" or Missing Commas) When we talk, we hesitate, say "um" , repeat words, and forget punctuation. Vacanam features an optional Built-in AI Assistant that runs silently on your computer: Remov

I spent a morning hunting for a setting that did not exist. A while back I turned off Claude's co-authorship trailer in my commits — a deliberate choice at the time. Last week I decided I wanted it back. So I went looking for the switch I'd flipped. ~/.claude/settings.json : no key. settings.local.json : no key. ~/.claude.json , parsed as JSON, top-level plus all 38 project entries : no key. The 27 .claude/settings*.json files scattered across my two working drives: no key. Every CLAUDE.md and AGENTS.md I own: no mentions. Environment variables: nothing. A final sweep of my entire user directory — every *.json and *.md — returned three raw hits: a changelog and two copies of an editor extension's JSON schema. The note I wrote when that finished was two words: "Cero hits reales." Zero real hits. There was exactly one thing anywhere on disk that turned attribution off, and it was a sentence: ~/.claude/rules/ecc/common/git-workflow.md:12 Note: Attribution disabled globally via ~/.claude/settings.json. It had a Chinese twin, same file path with zh/ instead of common/ , same line 12. Both files are rules files. Rules files get loaded into every session. So every session opened with a line of documentation asserting, flatly and falsely, that a global setting was off — and the model behaved accordingly. The switch I remembered flipping never existed as a switch. The prose was the switch. The key that sentence gestured at, includeCoAuthoredBy , is deprecated and replaced by attribution . Neither is present in any of my configs, which means the default was active the whole time. The feature was on. Only the description of the world said otherwise, and the description won. The thesis Here's what I take from that, and from two more receipts this week: in an agent system, prose and constants are not documentation about the control plane. They are the control plane. I run a personal multi-agent system on top of Claude Code — 19 specialized agents, root-driven, single-writer, coo

The open-source AI alternative to Gong Discussion | Link

Times are changing, my role is changing, my focus is changing, my impact is changing. But in essence – I'm still doing the same. I still build products that drive impact. Only my day-to-day looks completely different. The shift is happening, sooner or later, if you want it or not. Whether or not you can cope, is all up to you. In the past, I was neck-deep in code. That was what the majority of my time consumed. I liked it, building things, building products. These days, that's all done by an endless amount of AI agents. I barely touched any code in the past half year – if not even longer. My focus moved from building products to building my own process The work that used to go into a feature now goes into the process that produces the feature. Instead of losing the first hour of my day to Slack and email, I built a small stack of scheduled agents that hand me a briefing before I even open my laptop ( already wrote about that one ). Instead of reading every pull request line by line, I set up a review loop where agents do the first pass and I stay on the hook for whatever they flag. None of it started as a plan. Each piece started as one specific annoyance I got tired of and fixed. That's the actual mechanism: improve one small thing, it saves you time, you reinvest that time into the next small improvement. Compounding, not a grand strategy. The question I try to ask myself daily is simple: how can I do my job a bit better today than I did it yesterday? Not more. Not faster. Better. I also don't run ten parallel AI workflows across different projects at the same time because someone told me that's what a serious AI-software engineer does now. If I have multiple projects going on, I only focus on one project at a time. That's the amount of mental space I have right now, and I've stopped treating that as a shortcoming. My impact shifted from writing code to making my team better The time that used to go into implementation didn't disappear, it moved upstream. I now sp

If digital calendars are leaving you lacking, these WIRED-tested paper agendas and notebooks could change your life.

Protect your Pixel 10a, Pixel 10, or Pixel 10 Pro XL with a tried-and-true phone case, screen protector, and Qi2 charger.

My expert advice on what computer monitor to buy for your home office, ranging from budget-tier to fully featured.

It’s amazing how few compromises Dell made to get the new XPS 13 down to $700, but I strongly recommend the $900 model, which comes with 16 GB of RAM.

Ten things started is not progress. It's ten open tabs in your head, each one costing rent. Every unfinished task keeps a little of your attention hostage. You feel busy. You are just fragmented. Finishing one small thing returns more energy than starting three. So close the loop. Merge the PR. Send the message. Delete the branch. An empty background is where good work actually happens. Done is quiet. Chase the quiet. – Serguey Asael Shinder

Manage facilities in 3D, in the real world, in real time Discussion | Link

Build your own music visualizer for MIDI & audio Discussion | Link

Hello World! - Building a Project While Fighting Shiny Object Syndrome Let's start simple. What is "Shiny Object Syndrome"? Here is the definition pulled straight from Wikipedia: Shiny Object Syndrome is the situation where people focus undue attention on an idea that is new and trendy, yet drop it in its entirety as soon as something new can take its place. In my own words, I would describe it as chasing the novelty and the rush of starting a new project only to lose interest when I hit the not-so-fun parts. Why does that happen? I don't know. My guess would be that I have a lot of ideas that I want to see tangible results from fast . Like, for example: I want to see my app right in front of me in one or two sessions at most. I have a lot of energy for one week straight to work on my new idea, and then I lose interest at the first boring part I encounter. Very valid reasoning, but in the end, I'm left with a bunch of unfinished projects and feeling worse than when I started. This is why I'm here: to share my progress as I try to overcome SOS. I think I perform better when I have someone watching me, waiting for my results, or when I have a real deadline that isn't enforced only by myself. I need the consequences and the pressure to commit. So, now that you know what SOS is and why it sucks, let's see how to fix it. In front of me is one of my latest Shiny Objects (SO), and I've decided that I will apply these next steps to finish it before starting on a new SO. Here's the game plan: Open the Shiny Object. If I started working on it already: document a piece of the finished work every week. DO NOT START WORKING ON THE NEXT PART UNTIL ALL FINISHED PARTS ARE DOCUMENTED HERE. Plan for the next steps of the SO. Implement them (write notes on the changes and decisions taken while implementing). Document them here. Now that we have a vague plan of what we are going to do, let me tell you about the Shiny Object in question: It is a personal file drive where users upload fi

AI agents are increasingly good at building websites, reports, dashboards, and interactive prototypes. The awkward part is often the last mile: downloading a folder, creating a repository, configuring hosting, and copying a URL back into the conversation. A simpler workflow is to let the agent publish the result itself. In this tutorial, I'll show a practical agent-to-live-URL workflow using Revdoku , free web hosting designed for AI agents. Disclosure: I'm part of the team building Revdoku. What you need An AI agent that can create website files and use tools, such as ChatGPT, Claude, Codex, Gemini, Grok, Cursor, or OpenCode A static website, single-page app, report, dashboard, documentation site, or other browser-ready files No hosting account for the first public deployment Revdoku publishes publicly by default. Permanent free accounts require no credit card. Password protection and verified-email access control are optional paid upgrades. 1. Give your agent the publishing instructions Open the Revdoku homepage and use Copy prompt for my AI . Paste those instructions into the same conversation where your agent is building the project. This gives the agent the current integration instructions instead of making you translate deployment steps manually. 2. Ask for the site and the deployment in one prompt Here is a small example: Create a responsive single-page launch page for an open-source developer tool. Include: - a clear hero section - three feature cards - an installation example - a mobile-friendly layout Use plain HTML, CSS, and JavaScript. When the site is ready, publish it with Revdoku and return the final public URL. Keep the project linked so later changes can be republished to the same URL. The key is the last paragraph. It makes deployment part of the deliverable, not a separate chore. The agent can generate the files, publish them through Revdoku's agent-facing workflow, and return a live link in the conversation. A public deployment does not require y

Scheduling and calendar sync, all in one Discussion | Link

Connect Your AI Spend Directly to Your Roadmap Discussion | Link