HackerTube.dev

Nintendo - Putting Play First

Game Maker's Toolkit · 997.1K views · 2016-11-11 · 12:02

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

Game Maker's Toolkit examines Nintendo's design approach of starting from a core play mechanic, making it fun, and building around it. Examples include Mario's jump and Luigi's Mansion's vacuum.

On Hacker News

HN recommends it as a concise video essay on why Nintendo games feel good and how the company iterates.

Recommended by 3 HN people across 4 months · HN mentions 2017–2025

Topics

Search by tags

What people said

ecliptik · 2025-01 · Strong recommendation

One of my favorite video essay's on this is "Nintendo - Putting Play First" by Game Makers Toolkit [1]. It goes into when making a game, Nintendo first determines the mechanic they want to focus on; jumping, throwing a hat, shooting paint, etc and finding out how to make it fun, then building and iterating on the idea. It's how they can keep putting out essentially the same games but are completely different. 1. [VIDEO]

Read the original HN comment ↗
dmitriid · 2018-04 · Strong recommendation

I highly recommend Mark Brown's video "Nintendo: Putting Play First, [VIDEO] (and his other essays on Nintendo)

Read the original HN comment ↗
ecliptik · 2023-05 · Recommendation

There's a Game Maker's Toolkit video [1] that does a good job explaining how Nintendo focuses on play first. "That's how we make games at Nintendo, though: we get the fundamentals solid first, then do as much with that core concept as our time and ambition will allow" - Shigeru Miyamoto 1. [VIDEO]

Read the original HN comment ↗

Sources

Video by Game Maker's Toolkit, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources