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THE VIDEO SHELF · phoenix liveview

Build a real-time Twitter clone in 15 minutes with LiveView and Phoenix 1.5

Phoenix creator Chris McCord builds a real-time Twitter-style app live with Phoenix LiveView 1.5 in about 15 minutes. It shows interactive, real-time updates without writing JavaScript.

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Why HN readers recommended it

HN points people to it as the demo that shows why LiveView and Elixir are worth a look.

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

Video & recommendation details

Creator / channel
Chris McCord
Topic
phoenix liveview
Format
tutorial
Level
intermediate
HN recommenders in dataset
7
HN mentions in dataset
13
Recommendation years in dataset
2020–2025

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.

  • My favorite talk is the Live View twitter demo on my case: [VIDEO] . Never before I've been so bluffed by a new technology, he's building a small twitter clone in 20min with live reload, browser sync and everything, this would take days with any …

    realusername on Hacker News · 2020-12
    In Ask HN: Best Talks of 2020?

  • I think the "talk" by Chris McCord should apply here "Build a real-time Twitter clone in 15 minutes with LiveView and Phoenix 1.5", while not really a talk this year was special and the demo completely blew my mind. it's available here: [VIDEO]

    staticelf on Hacker News · 2020-12
    In Ask HN: Best Talks of 2020?

  • > But I'm wondering if it brings enough other advantages that I shouldn't view it that simplistically. So to start with, Phoenix LiveView really is a game changer, you should have a look at Elixir just for that. This is the talk which really bluffed …

    realusername on Hacker News · 2020-12
    In Ruby 3.0 and the new FiberScheduler interface

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

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