This is the interconnected, โ€œsecond brainโ€ version of my blog about people analytics โ€” 205 posts on people analytics, statistics, causal inference, psychometrics, machine learning, and AI, rebuilt as a network of linked notes.

How to explore

  • ๐Ÿ•ธ๏ธ Graph view โ€” the graph on each page shows how notes connect; click any node to jump, or use the icon in its corner to open the whole network. Reading the nodes: hollow rings are topics, solid dots are posts; the dark node is the page youโ€™re on, green ones are posts youโ€™ve already opened (remembered privately in your own browser), and grey ones are still unread. Bigger nodes have more connections.
  • ๐Ÿ” Search โ€” press Ctrl+K (or โŒ˜K) for full-text search across all notes.
  • ๐Ÿ”Ž Semantic search โ€” search by meaning rather than keywords; runs entirely in your browser (no server involved).
  • ๐Ÿท๏ธ Tags โ€” every note is tagged by topic (e.g. causal-inference, employee-turnover, psychometrics); tag pages collect everything on a theme.
  • ๐Ÿ”— Related notes โ€” each note ends with its semantically closest neighbors, computed from embeddings of the full text.

Each note links back to the original blog post, where youโ€™ll find the full rendered outputs (charts, interactive apps, etc.).

For AI agents

The whole brain is machine-readable:

  • MCP server โ€” add https://people-analytics-brain-mcp.ludek-stehlik.workers.dev/mcp as a remote MCP server (Streamable HTTP, no auth) and your agent can query the brain with search_notes, get_note, list_notes, and list_tags.
  • Plain text โ€” llms.txt provides a structured index, and llms-full.txt contains the complete corpus for retrieval or context loading.

About me

Iโ€™m Ludek Stehlik โ€” people analytics practitioner and psychologist. You can find me on LinkedIn or read the source blog.