Faberon

Useful things, quietly made.

Faberon is a product studio building and maintaining apps and tools that are easy to use, work well, and solve real problems.

Selected works

Six ongoing projects.

Tools for looking after a Mac, writing, coding, turning websites into apps, and laying out documents.

Pake running WeRead as a lightweight desktop app on macOS

Pake

Turn any webpage into a tiny Rust desktop app.

61.3K
Kaku terminal in dark mode with tabs and split panes

Kaku

A fast macOS terminal built for AI coding.

5.9K
Waza's eight agent skills organized across design, problem solving, expression, and growth

Waza

Eight practical skills for AI coding agents.

7K
Kami document typesetting examples on a warm paper canvas

Kami

A design system for documents and product pages.

11.2K

About

Portrait of Tw93

Tw93

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I run Faberon and design, build, and maintain its products. I also share what I learn and keep much of the work open source.

Selected writing

Notes from building products.

The Journal and Weekly are updated regularly. Below are six recent essays on products, AI, and learning.

Tw93's English journal homepage with recent long-form essaysJournal· Products, technology, and AIWeekly English homepage with recent issues and their photographsWeekly· Useful finds each week

Recent essays

  1. From Mole CLI to Mole for Mac: What I LearnedWhat I learned while turning an open-source Mac cleaner into a native product, from scope and interface to user trust.
  2. You Don't Know Embodied AI: From a Tiny Robot Dog to OptimusA hands-on path from a small robot dog to the sensing, control, and engineering behind embodied AI.
  3. You Didn't Know GEO: AI Visibility Principles, Practices, and Trade-offsWhy AI visibility is becoming a product concern, and how content, structure, and distribution work together.
  4. You Don't Know AI Coding: A Non-Engineer's Guide to Getting Started, Scenarios, and PracticeA practical guide to tools, workflows, and judgment for people learning to build with coding agents.
  5. How I Turn Learning Into a Workflow in the AI EraA repeatable way to study unfamiliar technical fields without handing judgment to an agent.
  6. You Don't Know LLM Training: Principles, Pipelines, and New PracticesA plain-language map of data, training, alignment, and the newer practices shaping language models.