HackerTube.dev

Ruby Manor 3 - Programming with Nothing by Tom Stuart

Confreaks · 13K views · 2012-11-10 · 40:50

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

Tom Stuart's Ruby Manor 3 talk builds FizzBuzz using nothing but Ruby lambdas, working through Church encodings of numbers, booleans and data structures. It is a hands-on introduction to lambda calculus.

On Hacker News

Strongly recommended in lambda calculus and Y-combinator threads as a mind-expanding half hour that clarifies the ideas.

Recommended by 4 HN people across 4 months · HN mentions 2013–2019

Topics

Computability & complexity theoryFunctional programmingPython, Ruby & scripting languages
Search by tags
lambda calculuschurch encodingrubyfizzbuzzy combinator

What people said

tacticiankerala · 2015-04 · Strong recommendation

An awesome video which changed my perspective towards lambda calculus and programming in general: programming with nothing: [VIDEO]

Read the original HN comment ↗
gamegoblin · 2014-09 · Strong recommendation

For anyone who finds this interesting, I cannot recommend enough investing a half hour in watching the "Programming With Nothing" talk: [VIDEO] In it, the speaker implements fizzbuzz using only lambda calculus (making significant use of church encoding).

Read the original HN comment ↗
mekishizufu · 2013-11 · Strong recommendation

If you are curious about the topic, I strongly recommend watching these videos: Y Not- Adventures in Functional Programming by Jim Weirich [LINK] Programming with Nothing by Tom Stuart [VIDEO]

Read the original HN comment ↗

Sources

Video by Confreaks, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources