The Long Echo Toolkit

Your bookmarks, conversations, and books deserve better than 'hope the cloud doesn't disappear.' Three Python CLIs with SQLite storage, reading queues, and export formats your grandkids can read.

https://metafunctor.com/post/2025-12-16-long-echo-toolkit/

Crier: Cross-Post Your Content Everywhere

Crier is a CLI tool for cross-posting content to dev.to, Ghost, WordPress, Bluesky, Mastodon, and more. Now available on PyPI.

https://metafunctor.com/post/2025-12-16-crier/

CTK: Manage All Your AI Conversations in One Place

A plugin-based system for managing AI conversations from ChatGPT, Claude, Copilot, and more. Import, search, and export in a unified tree format.

https://metafunctor.com/post/2025-10-ctk/

hypothesize: My R Package for Hypothesis Testing is Now on CRAN

A consistent API for hypothesis testing in R, including Likelihood Ratio and Wald tests.

https://metafunctor.com/post/2025-12-12-hypothesize-cran/

symlik: Symbolic Likelihood Models in Python

Define statistical models symbolically and automatically derive score functions, Hessians, and Fisher information.

https://metafunctor.com/post/2025-12-16-symlik/

Rerum: A Pattern Matching and Term Rewriting Library for Python

A Python library for symbolic computation with a readable DSL, powerful pattern matching, and security-conscious architecture.

https://metafunctor.com/post/2025-12-16-rerum/

repoindex: Give Claude Code Awareness of Your Entire Repository Collection

A metadata index that lets LLM tools like Claude Code query across all your git repositories.

https://metafunctor.com/post/2025-12-16-repoindex/

Orientation Under Pressure — notes on maintaining a vector under entropy

On chemo cycles, stoicism's hidden cost, Arendt's "banality of evil" in modern workflows, and the privilege of creation.

The metric isn't titles. It's whether direction survived collapse.

metafunctor.com/post/orienta...

Hidden states in LLM ~ follow normal distributions. Consequently, both queries and keys also follow a normal distribution and if you replace all queries and keys by their average counterpart, this magically explains the slash pattern observed in attention matrices