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 desktop app with one command.

62.1K
Kaku terminal in dark mode with tabs and split panes

Kaku

An AI-friendly Mac terminal with sensible defaults, ready out of the box.

6.1K
Waza's eight agent skills organized across design, problem solving, expression, and growth

Waza

Engineering habits you already know, turned into skills AI agents can run.

7.3K
Kami document typesetting examples on a warm paper canvas

Kami

Templates and layout rules for AI agents to typeset documents and landing pages.

12K

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.

I write about products, AI, and learning on my blog, and share useful finds in Weekly.

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

Selected essays

  1. From Mole CLI to Mole for Mac: What I LearnedWhat users taught me about features, interface design, and trust after Mole for Mac launched.
  2. You Don't Know Embodied AI: From a Tiny Robot Dog to OptimusExploring sensing, control, and embodied AI with a small robot dog.
  3. You Didn't Know GEO: AI Visibility Principles, Practices, and Trade-offsHow AI finds and recommends products, and what content, structure, and distribution have to do with it.
  4. You Don't Know AI Coding: A Non-Engineer's Guide to Getting Started, Scenarios, and PracticeTools, workflows, and examples for getting started with AI coding, without a technical background.
  5. How I Turn Learning Into a Workflow in the AI EraHow I use agents to find sources and organize my learning while making my own judgments.
  6. You Don't Know LLM Training: Principles, Pipelines, and New PracticesHow language models are trained, from data and training to alignment and newer methods.