Microsoft just opened the flood gates…

Cool spin on zettelkasten

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Type Gymnastics Collection of wonderful TypeScript type gymnastics code snippets. 📚 Overview List Better querySelector by Pig Fang - More intelligent querySelector by parsing your given CSS selector. Also refer to a formal project: typed-query-selector. C-printf Parser by Pig Fang - Parse placeholders like %d and %s for a printf format string. Integers Comparator by Pig Fang - Compare two integers that can be positive or negative or zero. Query String Parser by Pig Fang - Parse URL query string into an object literal type. Spec-compliant HTML Parser by Pig Fang - An HTML parser conforms WHATWG HTML Standard (may not be fully). Tuple Slice by Pig Fang - Array#slice implementation at type level. URL Parser by Pig Fang - Parse a URL into an object literal type with each component of the URL. Pinia by Pig Fang - Type-level function which is similar to Pinia.

👻 Ghostty Download Documentation

imaginary.stripmall.software This is, or hopefully one day, will be a full drop in replacement for cloudinary, the most excellent, albeit expensive image transformation and hosting service. I've released this under the Open Software License 3.0 in order to encourage people to contribute to the codebase. Batteries Not Included I put this into production on gcloud, using the google application engine and gcloud buckets for storage. Putting this behind cloudflare caching makes the solution almost as performant as cloudinary. Tooling for gcloud is included in the repository. Doing this, lowered my monthly image processing costs from over a thousand dollars to about one hundred and fifty dollars. I've published a recipe for my setup here. I imagine many others are possible, for example using aws S3 and lambda functions (though I'm a bit concerned about the way CloudFront handles caching). I look forward to seeing contributions on this front. If you come up with one, and want help creating an article or post. Deployment gcloud run deploy --source .

Lit Labs is an umbrella for Lit packages under development that we are actively seeking feedback on. While we encourage real-world use in order to help the feedback process, please note: Lit Labs projects are published under the @lit-labs npm scope. Breaking changes are likely to occur more frequently than in non-labs packages, but they will still respect standard semantic versioning guildelines and all changes will be published to the CHANGELOG files. While we strive to address all bugs in a timely fashion, bugs in non-labs projects typically receive higher priority than bugs in labs projects. When a Lit Labs project is ready to graduate out of labs, we'll begin publishing it under the @lit scope. (For example, @lit-labs/task graduated to @lit/task.) Once a package graduates, its first version under the @lit scope will match that of the latest in @lit-labs—but only the @lit version will receive subsequent updates. We may decide to deprecate a Lit Labs project. In such cases, we will notify the community, and a deprecation warning will be added to the npm package. The deprecated package will receive bug fix support for at least 6 months. A record of historical labs packages will be kept on this page. Feedback is currently being solicited on the following Labs packages:

Free ChatGPT Starter (No GPU Required) A starter template for building and running your custom chatbot using OpenAI's distilgpt2 model. This project provides a simple foundation for interacting with AI in Python. Features Easy-to-use Python chatbot script. Customizable for various use cases.