Tech talks

Best Tech Talks 2025, Ranked by Hacker News

First recommended on Hacker News in 2025, still worth watching: these 115 tech talks and lectures earned 508 recommendations across the years.

‹ 2024 2026 ›All tech talks

Lecture×

16 mo on HN

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy

Recommended 17× on HN · 2022–2025

15 mo on HN

[LIVE] How to Achieve Proper Grounding - Rick Hartley - Expert Live Training (US)

Altium

Recommended 9× on HN · 2021–2025

9 mo on HN

Lecture 1A | MIT 6.001 Structure and Interpretation, 1986

MIT OpenCourseWare

Recommended 11× on HN · 2012–2024

10 mo on HN

The Most IMPORTANT Video You'll Ever See (part 1 of 8)

wonderingmind42

Recommended 13× on HN · 2010–2025

10 mo on HN

Crockford on JavaScript - Volume 1: The Early Years

YUI Library

Recommended 10× on HN · 2013–2022

10 mo on HN

Hamming, "You and Your Research" (June 6, 1995)

securitylectures

Recommended 11× on HN · 2012–2023

8 mo on HN

Deep Dive into LLMs like ChatGPT

Andrej Karpathy

Recommended 10× on HN · 2025–2026

10 mo on HN

Brian Beckman: Don't fear the Monad

jasonofthel33t

Recommended 9× on HN · 2012–2024

9 mo on HN

The Only Unbreakable Law

Molly Rocket

Recommended 12× on HN · 2022–2026

10 mo on HN

Refterm Lecture Part 1 - Philosophies of Optimization

Molly Rocket

Recommended 10× on HN · 2021–2026

10 mo on HN

Siggraph2019 Geometric Algebra

Bivector

Recommended 8× on HN · 2020–2022

8 mo on HN

Lecture 6: Version Control (git) (2020)

Missing Semester

Recommended 9× on HN · 2020–2023

9 mo on HN

Category Theory 1.1: Motivation and Philosophy

Bartosz Milewski

Recommended 11× on HN · 2016–2026

8 mo on HN

Blockchains Are a Bad Idea (James Mickens)

HBS Digital Initiative

Recommended 8× on HN · 2018–2023

7 mo on HN

Clean Code - Uncle Bob / Lesson 1

UnityCoin

Recommended 6× on HN · 2020–2026

7 mo on HN

Richard Feynman Computer Science Lecture - Hardware, Software and Heuristics

Muon Ray

Recommended 8× on HN · 2013–2026

6 mo on HN

01 - Course Introduction & Relational Model (CMU Databases Systems / Fall 2019)

CMU Database Group

Recommended 6× on HN · 2020–2023

6 mo on HN

Simple Code, High Performance

Molly Rocket

Recommended 6× on HN · 2021–2025

6 mo on HN

Paxos lecture (Raft user study)

Diego Ongaro

Recommended 6× on HN · 2013–2024

6 mo on HN

Secret History of Silicon Valley

Computer History Museum

Recommended 6× on HN · 2010–2026

7 mo on HN

How to Invent the Future I - Stanford CS183F: Startup School

Stanford Online

Recommended 3× on HN · 2018–2024

5 mo on HN

Lambda Calculus - Fundamentals of Lambda Calculus & Functional Programming in JavaScript

Fullstack Academy

Recommended 5× on HN · 2019–2024

6 mo on HN

In Search of Tomorrow

Berkeley Institute for Data Science (BIDS)

Recommended 9× on HN · 2015–2018

6 mo on HN

Floyd Toole - Sound reproduction – art and science/opinions and facts

CIRMMT

Recommended 4× on HN · 2019–2026

6 mo on HN

How to Invent the Future II - Stanford CS183F: Startup School

Stanford Online

Recommended 3× on HN · 2017–2024

5 mo on HN

Stanford Lecture: Don Knuth—"A Conjecture That Had To Be True" (2017)

Stanford Online

Recommended 1× on HN · 2017–2023

5 mo on HN

Michael Stonebraker | Big Data is (at least) Four Different Problems

Michigan Engineering

Recommended 5× on HN · 2015–2024

5 mo on HN

Arithmetic, Population and Energy - a talk by Al Bartlett

lXlSalemlXl

Recommended 6× on HN · 2016–2023

5 mo on HN

Distributed Systems 1.1: Introduction

Martin Kleppmann

Recommended 5× on HN · 2021–2025

6 mo on HN

Lecture 1: Introduction

MIT 6.824: Distributed Systems

Recommended 5× on HN · 2020–2025

5 mo on HN

Admiral Grace Hopper Explains the Nanosecond

funbury

Recommended 5× on HN · 2020–2025

Best Tech Talks 2025, Ranked by Hacker News

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Features

The spelled-out intro to neural networks and backpropagation: building micrograd

AT&T Archives: Similiarities of Wave Behavior (Bonus Edition)

Light Years Ahead | The 1969 Apollo Guidance Computer

Lec 1 | MIT 18.06 Linear Algebra, Spring 2005

DON'T PANIC — Hans Rosling showing the facts about population

Lecture 1A: Overview and Introduction to Lisp

[LIVE] How to Achieve Proper Grounding - Rick Hartley - Expert Live Training (US)

Lecture 1A | MIT 6.001 Structure and Interpretation, 1986

The Most IMPORTANT Video You'll Ever See (part 1 of 8)

Crockford on JavaScript - Volume 1: The Early Years

Hamming, "You and Your Research" (June 6, 1995)

Deep Dive into LLMs like ChatGPT

Brian Beckman: Don't fear the Monad

The Only Unbreakable Law

Refterm Lecture Part 1 - Philosophies of Optimization

Siggraph2019 Geometric Algebra

Lecture 6: Version Control (git) (2020)

Category Theory 1.1: Motivation and Philosophy

Blockchains Are a Bad Idea (James Mickens)

Clean Code - Uncle Bob / Lesson 1

Richard Feynman Computer Science Lecture - Hardware, Software and Heuristics

01 - Course Introduction & Relational Model (CMU Databases Systems / Fall 2019)

Simple Code, High Performance

Paxos lecture (Raft user study)

Secret History of Silicon Valley

How to Invent the Future I - Stanford CS183F: Startup School

Lambda Calculus - Fundamentals of Lambda Calculus & Functional Programming in JavaScript

In Search of Tomorrow

Floyd Toole - Sound reproduction – art and science/opinions and facts

How to Invent the Future II - Stanford CS183F: Startup School

Stanford Lecture: Don Knuth—"A Conjecture That Had To Be True" (2017)

Michael Stonebraker | Big Data is (at least) Four Different Problems

Arithmetic, Population and Energy - a talk by Al Bartlett

Distributed Systems 1.1: Introduction

Lecture 1: Introduction

Admiral Grace Hopper Explains the Nanosecond