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THE VIDEO SHELF · building lichess

Lichess founder Thibault Duplessis lectures on Lichess (2017)

Lichess founder Thibault Duplessis talks at Big Techday 10 in Munich about how Lichess works and how he built it. He covers the project's origins and technical challenges including cheating detection.

Why HN readers recommended it

HN commenters point to it as a good talk on how one person built a major free, open-source chess server with few resources, and on the cheating problem.

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

Video & recommendation details

Creator / channel
Lichess
Topic
building lichess
Format
talk
Level
intermediate
HN recommenders in dataset
3
HN mentions in dataset
4
Recommendation years in dataset
2020–2022

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.

  • He did it with virtually no resources and kept it as simple as possible - that he did it alone is astounding. He has a good talk about how he did it here : - [VIDEO]

    noir_lord on Hacker News · 2020-09
    In Chess is taking over the online video game streaming world and it will change
  • If anyone is interested in online chess, [LINK] is a really interesting project. It is non-for-profit, avoiding freemium upselling and instead relying on user donations Here is a great talk by the founder [VIDEO] And here is the open-sourced code. [LINK]

    oli5679 on Hacker News · 2021-01
    In A bit on scaling chess.com's database
  • Related to this, there's a really good talk by the founder of lichess that includes an overview of the cheating problem, and the techniques they use to detect and manage it. The relevant section of the video on YouTube is: [VIDEO]

    jka on Hacker News · 2022-07
    In Irwin – the protector of Lichess from all chess players villainous

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