THE VIDEO SHELF · mechanical engineering of appliances
The Antique Toaster that's Better than Yours
Technology Connections takes apart a 1940s Sunbeam Radiant Control toaster. It senses the toast's own browning and lowers and raises it automatically using purely mechanical parts and no electronics.
Why HN readers recommended it
HN returns to it again and again as a favorite example of elegant, chip-free mechanical engineering that beats modern toasters.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Technology Connections
- Topic
- mechanical engineering of appliances
- Format
- explainer
- Level
- general
- HN recommenders in dataset
- 12
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2019–2025
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.
The Sunbeam Radiant Control Toaster predates both and seems worth mentioning here for it’s superior user experience and unique analog technology. Technology Connections produced a fantastic teardown video of it a while back. [VIDEO]
adfm on Hacker News · 2019-11
In Smart Toaster Can’t Hold a Candle to the Apollo ComputerA related thought, just leaving this here. There's something great about old technology (though obviously one must be aware of survivorship bias when citing such technology), despite the fact that, logically speaking, new technology should have obviously been better. Perhaps it's some variant of Jevons' …
tpoacher on Hacker News · 2025-04
In The hidden cost of AI codingBut then how could you make toast when you're not home, like at a conference, or driving in your car? /s This is a pretty cool toaster: [VIDEO]
chiph on Hacker News · 2019-12
In How to Make Toast: Electrical Engineering vs. Computer Science (2001)
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.