Blog embeddings map

[Anand S]

I created an embedding map of my blog posts.

Each point is a blog post. Similar posts are closer to each other. They're colored by category.

I've been blogging since 1999 and over time, my posts have evolved.

• 1999-2005: mostly links. I started by link-blogging
• 2005-2007: mostly quizzes, how I do things, Excel tips, etc.
• 2008-2014: mostly coding, how I do things and business realities
• 2015-2019: mostly nothing
• 2019-2023: mostly LinkedIn with some data and how I do things
• 2024-2026: mostly LLMs

... and this transition is entirely visible in the embedding space.

Video: Watch video

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I used Codex and GitHub Copilot + Claude Sonnet 4.6 to create this visualization. It was vibe coded in the background while I was vibe-coding my PyConf Hyderabad talk. The rough process was:

• Extract the blog posts and pages (stripping out comments, adding titles).
• Use Gemini Embedding 2 Preview to generate 768-dimentional embeddings for un-embedded content.
• Create a UMAP visualization of these embeddings, colored by category, and make it interactive with filters and popups.