Markdown

A practical hub for document creation, formatting, conversion, and printing workflows using Markdown, LaTeX, PDF tools, and automation.

Breadcrumb navigation combined with proper schema markup is one of the most effective yet underutilized SEO techniques that can significantly improve your website’s search visibility and user experience.

Tables are one of the most powerful features in Markdown for organizing and presenting structured data. Whether you’re creating technical documentation, README files, or blog posts, understanding how to properly format tables can significantly improve your content’s readability and professionalism.

Converting LaTeX documents to Markdown has become essential for modern publishing workflows, integrating static site generators, documentation platforms, and version control systems while maintaining readability and simplicity.

Choosing the right Personal Knowledge Management (PKM) tool can dramatically impact your productivity, learning, and information organization. Let’s have a look at Obsidian and LogSeq.

Converting HTML to Markdown is a fundamental task in modern development workflows, particularly when preparing web content for Large Language Models (LLMs), documentation systems, or static site generators like Hugo.

Translating your Hugo website can improve your Google and Bing ranking - but only if the translated content is high quality, localized, and properly structured for multilingual SEO.

Converting Word documents to Markdown format is a very common task for technical writers, developers, and content creators who want to move their content to platforms with Markdown (like GitHub, GitLab, static site generators like Hugo).

Here’s a detailed breakdown of Obsidian as a powerful tool for personal knowledge management (PKM), explaining its architecture, features, strengths, and how it supports modern knowledge workflows.

Here I’m reviewing Codeblock options in Markdown—how to specify the programming language, diff formatting and code block filename.

Dokuwiki is a selfhosted wikipedia which can be hosted easily on premises and not requiring any databases. I was running it dockerised, on my pet kubernetes cluster.

In the Ollama models library there are models that able convert HTML content to Markdown, which is useful for content conversion tasks.

Markdown language is used in wikipedia and Hugo. It has support for headers, lists, font style modifications, images, codequotes and tables. Here I keep a short summary of markdown formatting.