management

A 12-minute beginner lesson from Nick Milo's Linking Your Thinking series introducing the Obsidian note-taking app and the first steps to start using it.

A reupload of Joel Spolsky's talk teaching spreadsheet users the Excel features they are probably missing, such as keyboard navigation, named ranges, tables and lookups. The original disappeared and this copy comes from the Wayback Machine.

A Harvard Business Review video with tactics for getting better at small talk and enjoying it, such as setting goals, allowing pauses, and starting and ending conversations.

In this first Crust of Rust episode, Jon Gjengset live-codes an example that needs multiple explicit lifetime annotations. Along the way he covers string types and generics over a custom trait.

In a long live-coding session, Andreas Kling works on making the Cookie Clicker game playable in the Ladybird browser from SerenityOS. He tracks down bugs in the browser engine and fixes them.

Jon Gjengset's long live-coding Crust of Rust episode on async/await, focused on the mental model for using it rather than on Futures, Pin and Wakers internals. Topics include awaiting multiple futures, cancellation, executors and select.

Jon Gjengset's roughly four-hour live stream implementing part of a BitTorrent client in Rust, following CodeCrafters' test-guided challenge. He builds from scratch and shows idiomatic error handling along the way.

A long Tsoding Daily programming stream in which he implements hot code reloading in C by loading a dynamic library at runtime without stopping the main program. It also touches on migrating struct versions across reloads.

A guide to charging a non-Tesla EV, here a BMW i4, at a Tesla Supercharger in the UK, with do's and don'ts. It shows the process in practice now that the network is open to all cars.

Andreas Kling live-codes a prototype JavaScript JIT compiler for the LibJS engine used in SerenityOS and Ladybird. He builds a standalone bytecode VM, a simple interpreter, and then a simple JIT in about 80 minutes.

A guide to using YouTube's Content ID by claiming your own videos through a distributor, so the claims share revenue with the creator and monetize re-uploads. It credits another creator who pioneered the method.