How to Find Articles by Topic on beepb00p.xyz

Updated

The most reliable way to find articles by topic on beepb00p.xyz is to scan the post list on the homepage and use the hashtag-style tags printed under each entry (for example #infra, #pkm, #quantifiedself, #dataliberation, #emacs, #orgmode). Posts are listed in reverse chronological order, so tags are the primary topic signal rather than a separate category menu. Note that some entries are explicitly marked as drafts or works in progress, so check the status before treating a post as finished reference material.

What the homepage gives you

The homepage is a chronological index of posts. Each entry typically shows:

  • A title and a short subtitle or description
  • A date
  • A set of tags

Because there is no visible topic index or category page in the available page evidence, the practical workflow is to read down the list and collect titles that share a tag you care about.

Tags as the topic map

The tags are the closest thing to a subject taxonomy. Grouping the visible entries by tag gives a usable map:

Tag What it points to Example posts
#infra Personal data infrastructure, self-hosting, tooling "Map of my personal data infrastructure", "Building data liberation infrastructure", "In search of a better job scheduler"
#dataliberation Exporting and owning your own data "Building data liberation infrastructure", "Against unnecessary databases", "What data on myself I collect and why?"
#pkm Personal knowledge management "Promnesia", "Building personal search infrastructure for your knowledge and code", "Orger"
#quantifiedself Self-tracking and personal analytics "Human Programming Interface", "What data on myself I collect and why?", "Analyzing accuracy of power reported by stationary bike"
#emacs / #orgmode Emacs and Org-mode workflows "Building personal search infrastructure...", "Using Orger to populate your tasks list", "Orger", "Cloudmacs"
#python / #plt Programming languages and typing "Your configs suck? Try a real programming language", "Python: better typed than you think"
#selfhosted Running your own services "Scrapyroo", "Cloudmacs"

Posts often carry several tags, so one article can belong to more than one topic. For instance, "Human Programming Interface" is tagged #infra, #pkm, and #quantifiedself.

Step-by-step: locating a topic

  1. Decide the topic in tag terms (e.g., you want Emacs-related reading, so look for #emacs).
  2. Scan the homepage list from top to bottom, since newer posts appear first.
  3. Note every title whose tag line contains your tag; expect overlap with adjacent tags such as #orgmode or #pkm.
  4. Open the candidate posts and confirm the subtitle matches your interest before reading in full.
  5. Check for status markers such as "Work in progress" or "Drafts" before relying on a post.

Expected result: a short reading list of posts sharing a tag, ordered newest to oldest.

Common sticking points

  • No dedicated tag page. The evidence shows tags on the homepage but no separate archive by tag, so you cannot click through to "all #infra posts." Manual scanning is the fallback.
  • Tags are broad. #infra covers everything from job schedulers to data exports, so use the subtitle to narrow down.
  • Draft status is easy to miss. Entries marked "Work in progress" or "Drafts" may be incomplete; treat them as notes rather than finished guides.
  • Overlapping tags. A single post may appear under several topics, which is helpful for discovery but means a tag search will not give a clean partition.

When this approach fits

Use the tag-scanning method if you want a quick, no-tools way to find related reading on a single site. If you need cross-site or full-text search across many posts, the site's own search infrastructure discussion (see "Building personal search infrastructure for your knowledge and code") describes the general problem, but the homepage itself remains the entry point for browsing by topic.