Hacker News was created by Paul Graham, co-founder of Y Combinator, as a place for tech-savvy individuals to share and discuss interesting content related to technology, startups, programming, and more.

Initially, it started as a simple link aggregator, where users could submit links to articles, blog posts, and projects they found intriguing.

Over time, it evolved into a thriving community with a strong emphasis on intellectual curiosity, thoughtful discussions, and quality content.

I'm an avid reader of Hacker News and often come across high-quality discussions from the community. I found that the courses and books people discuss on Hacker News are really good, so I conduct monthly analyses and aggregate the top courses/books found in comments and rank them.

Why Learn Algorithms

Top Courses

• Algorithms, Part I

  Coursera · Princeton University · 109 HN points · 54 HN comments

• Algorithms

  Coursera · Stanford University · 13 HN points · 38 HN comments

• Discrete Optimization

  Coursera · The University of Melbourne · 18 HN comments

• C++ For C Programmers, Part B

  Coursera · University of California, Santa Cruz · 47 HN points · 1 HN comments

• Data Structures and Algorithms

  Coursera · University of California San Diego · 5 HN points · 8 HN comments

• VLSI CAD Part I: Logic

  Coursera · University of Illinois at Urbana-Champaign · 8 HN comments

• Statistical Mechanics: Algorithms and Computations

  Coursera · École normale supérieure · 7 HN comments

• Learning From Data

  edX · Caltech · 10 HN points · 4 HN comments

• Reliable Distributed Algorithms - Part 1

  edX · KTH Royal Institute of Technology · 12 HN points · 2 HN comments

• Algorithmic Thinking (Part 1)

  Coursera · Rice University · 4 HN comments

• C for Everyone: Fundamentals

  Coursera · University of California, Santa Cruz · 19 HN points

• How to Win a Data Science Competition: Learn from Top Kagglers

  Coursera · National Research University Higher School of Economics · 4 HN points · 4 HN comments

• Probabilistic Graphical Models

  Coursera · Stanford University · 4 HN comments

• Data Science at Scale

  Coursera · University of Washington · 3 HN points · 8 HN comments

• Algorithms, Part II

  Coursera · Princeton University · 4 HN comments

• Become a Machine Learning Engineer

  Udacity · 2 HN points · 3 HN comments

• Learning From Data (Introductory Machine Learning)

  edX · Caltech · 2 HN comments

• Data Structures: An Active Learning Approach

  edX · The University of California, San Diego · 2 HN comments

• JavaScript (JS) Algorithms and Data Structures Masterclass

  Udemy · 2 HN comments

• Computational Neuroscience

  Coursera · University of Washington · 2 HN points · 4 HN comments

• Reliable Distributed Algorithms, Part 2

  edX · KTH Royal Institute of Technology · 2 HN comments

• Convolutional Neural Networks

  Coursera · deeplearning · 3 HN points · 4 HN comments

• Learning From Data (Introductory Machine Learning)

  edX · Caltech · 4 HN points · 1 HN comments

• Analysis of Algorithms

  Coursera · Offered by Princeton University · 2 HN comments

• Cloud Computing Concepts, Part 1

  Coursera · University of Illinois at Urbana-Champaign · 4 HN comments

• Underactuated Robotics

  edX · Massachusetts Institute of Technology · 2 HN points · 2 HN comments

• Mastering the Software Engineering Interview

  Coursera · University of California San Diego · 6 HN points

• Quantum Machine Learning

  edX · University of Toronto · 6 HN points

• Process Mining: Data science in Action

  Coursera · Offered by Eindhoven University of Technology · 3 HN points · 1 HN comments

• Parallel programming

  Coursera · École Polytechnique Fédérale de Lausanne · 3 HN points · 1 HN comments

Our methodology

We conducted this analysis by "ranking things based on social signals"

It's the result of mining the HN archives for references to online courses and then ranking them and displaying all references in one place.

Ranking currently takes into account HN stories (points) and comments (sentiment, karma, estimated points).

Who are we

Find accountability partners, and study online courses & books with other learners. Moocable helps you find your next course/book/problem set, and lets you find study partners.