THE VIDEO SHELF · bodging and custom keyboards
The Art of the Bodge: How I Made The Emoji Keyboard
Tom Scott explains how he built his emoji keyboard, which turned out to be a series of bodged-together tools including AutoHotkey and LuaMacros. He tells stories about the value of quick-and-dirty solutions.
Why HN readers recommended it
HN links it as a charming defense of bodging and of AutoHotkey, and as the go-to example when custom keyboards or hotkey hacks come up.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Tom Scott
- Topic
- bodging and custom keyboards
- Format
- talk
- Level
- general
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 8
- Recommendation years in dataset
- 2018–2024
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
AutoHotKey (in addition to WSL and VS Code) was enough to make me Windows-curious and eventually try a Windows laptop again after 10+ years on Mac. I first found out about AHK via Tom Scott's similar ode here: [VIDEO] He describes it as “a bodge …
modernerd on Hacker News · 2020-05
In In Praise of AutoHotKeyFun AutoHotKey abuse: Tom Scott's emoji keyboard[0]. It's every single emoji (at the time of recording) on 14 full keyboards with 1,000s of hand-placed bespoke stickers. He goes into more detail here[1], but it's beautiful. [0]: [LINK] [1]: [VIDEO]
jedimastert on Hacker News · 2020-05
In In Praise of AutoHotKeyNever underestimate the art of the bodge, it's quite literally keeping the world ticking over, perfection has a place but it is rare and fleeting. I saw a good talk on it from Tom Scott some time ago[0] which I think is relevant. [0]: [VIDEO]
dijit on Hacker News · 2020-08
In Jira Is a Microcosm of What’s Broken in Software Development
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.