THE VIDEO SHELF · text entry interfaces
Dasher: information-efficient text entry
David MacKay's 2007 Google Tech Talk presents Dasher, a text-entry system driven by continuous gestures and a language model, reaching about 35 words per minute with one finger and 25 hands-free. It explains the information-theory reasoning behind the design.
Why HN readers recommended it
Regarded as the seminal talk on Dasher, recommended in threads on accessible and alternative text input.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Google TechTalks
- Topic
- text entry interfaces
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 2
- HN mentions in dataset
- 7
- Recommendation years in dataset
- 2016–2025
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.
Dasher is fantastic, because it's based on rock solid information theory, designed by the late David MacKay. Here is the seminal Google Tech Talk about it: [VIDEO] Here is a demo of using Dasher by an engineer at Google, Ada Majorek, who has ALS and …
DonHopkins on Hacker News · 2018-05
In Pie Menus: A 30-Year Retrospective: Take a Look and Feel FreeI love David MacKay's brilliant work on the Dasher text input system, which draws deeply from his work on information theory -- imagine Dasher integrated with an IDE and code search and Copilot and language model! "Writing is navigating in the library of all possible …
DonHopkins on Hacker News · 2023-11
In AI is currently just glorified compressionThis is really awesome. It looks hard, but it isn't. Here's a talk from 2007 that explains it well [VIDEO]
devilsenigma on Hacker News · 2016-12
In Dasher: Writing text really fast without typing or speaking
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.