Devoxx: the videos Hacker News recommends
Not the channel's most viewed videos: the ones HN commenters kept linking with real commentary. The top pick, "Tensorflow and deep learning - without a PhD by Martin Görner", repeatedly called an excellent, practical introduction that covers a lot in two hours and explains issues academic textbooks skip.
- 6 HN recommenders 5 months 2017–2020tutorialRepeatedly called an excellent, practical introduction that covers a lot in two hours and explains issues academic textbooks skip.
- 3 HN recommenders 3 months 2017–2025talkRecommended as an accessible refresher on how modern hardware and caches affect software performance.
- 3 HN recommenders 3 months 2019–2023talkHN commenters recommend it to developers unfamiliar with how much leverage and intelligence there is in a SQL database.
- 2 HN recommenders 2 months 2019–2023talkRecommended as the best introduction to modern SQL standard features that textbooks skip.
- 1 HN recommenders 1 months 2016–2025talkHN points to it as an entertaining, jaw-dropping demonstration of exposed systems, including a French dam's controls.
- cited 3× 0 months 2019–2022talkCited as the authoritative explanation, from the person who added it to OpenJDK, of Optional's narrow intended purpose.
Questions
Which Devoxx video does Hacker News recommend most?
Tensorflow and deep learning - without a PhD by Martin Görner: recommended in 5 different months by 6 HN users between 2017 and 2020.
Is this every Devoxx video?
No. Only videos that at least three different HN users linked, in at least three different months, with at least a sentence of their own commentary. That filter is what makes the list useful.
Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.