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THE VIDEO SHELF · hypertext and personal wikis

Joe Armstrong & Jeremy Ruston - Intertwingling the Tiddlywiki with Erlang | Code Mesh LDN 18

Joe Armstrong, creator of Erlang, and Jeremy Ruston, creator of TiddlyWiki, discuss hypertext, Ted Nelson's idea of intertwingled knowledge, and a way to combine TiddlyWiki with Erlang. It is a Code Mesh LDN 2018 talk.

Why HN readers recommended it

Recommended in note-taking and personal wiki threads for its enthusiasm about granular, densely linked notes and TiddlyWiki.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Code Sync
Topic
hypertext and personal wikis
Format
talk
Level
intro
HN recommenders in dataset
2
HN mentions in dataset
5
Recommendation years in dataset
2020–2024

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.

  • Joe Armstrong of Erlang fame was a fan of Tiddly Wiki, and there's a video of the Tiddly Wiki creator and him enthusing about it here [VIDEO]

    jodrellblank on Hacker News · 2020-01
    In Managing my personal knowledge base
  • If you're interested in quines, see also TiddlyWiki[0] (and specifically this[1] great talk by its creator Jeremy Ruston and the late creator of Erlang, Joe Armstrong) [0] [LINK] [1] [VIDEO]

    vector_spaces on Hacker News · 2020-10
    In This page is a truly naked, brutalist HTML quine
  • Things which are deeply intertwingled. Joe Armstrong (Erlang) gave at least one talk about it, available on YouTube: [VIDEO] The key points were that Wikipedia style wikis force you into a page-at-a-time model. And TiddlyWiki uses more like a post-it-note sized amount of information. Wikipedia …

    jodrellblank on Hacker News · 2021-11
    In Launch HN: Dendron (YC W21) – Structured note-taking for developers and teams

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.