Productivity

The Trading Parallel Chess and trading share a fun truth: you can spend hundreds of hours practicing and still lose. In trading, it’s capital. In chess, it’s ELO. Both require deliberate review of past mistakes to improve. Traders keep journals. Chess players should too. I’ve found that Obsidian—a tool I already use for notes—works perfectly as a chess game database. With the Web Clipper extension and a couple of templates, every game and blunders becomes a searchable, annotated note with an embedded board. ...

If you use Anthropic’s Claude Code CLI, you know the struggle: you run a complex prompt or a long refactoring task, switch to another task, and forget to check back for five minutes. I recently came across Andrea Grandi’s post on how to solve this on macOS using terminal-notifier. Linux has a native equivalent that works perfectly. So… here’s how to set up desktop notifications for Claude Code on Linux. The Linux Alternative: notify-send On macOS, Andrea used terminal-notifier. On Linux, the standard tool for sending desktop notifications is notify-send, which is part of the libnotify library. Installed in my lubuntu 24.04 by default. But, First, ensure you have it installed. ...

Optimizing Internal Throughput: An Analysis of Journaling Protocols Your internal operating system requires debugging just like any complex code base. Inefficiencies, bugs (bad habits), suboptimal resource allocation – it’s all there. Journaling is essentially running diagnostics, creating log files to analyze performance and identify areas for refactoring. Different methods act like different logging levels or diagnostic tools, each with trade-offs in terms of overhead (time) and output (insight). The goal isn’t just passive observation; it’s active optimization. Identify what processes are executing efficiently and amplify them. Pinpoint bugs and memory leaks (energy drains, poor decisions) and patch them. Personally, I find a straightforward What I executed well / What crashed or needs refactoring daily log provides high signal-to-noise, but let’s dissect the common protocols available. ...

The Calculator Effect, Amplified Remember when calculators became ubiquitous? Teachers worried we’d forget how to do mental math. They were right—but it didn’t matter much. The trade-off was acceptable. Generative AI is making the same bargain, except this time we’re not trading away arithmetic. We’re trading away thinking itself. A Swiss Business School study surveyed over 600 participants and found something uncomfortable: there’s a significant negative correlation between frequent AI use and critical thinking ability. The more we lean on AI, the less sharp our own reasoning becomes. This isn’t speculation—it’s showing up in the data. ...