HackerTube.dev

1,500 Slot Machines Walk into a Bar: Adventures in Quantity Over Quality

GDC Festival of Gaming · 183.7K views · 2019-06-25 · 1:00:27

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

In this 2019 GDC talk, Alex Schwartz and Ziba Scott explain how they flooded the app stores with over 1,500 auto-generated slot machine games to find the lowest bar for success. They tour the dark side of the mobile app market.

On Hacker News

HN commenters recommend it as a hilarious account of mass-produced app store shovelware and cite it in threads on spam and low-quality content.

Recommended by 3 HN people across 3 months · HN mentions 2020–2026

Topics

Search by tags

What people said

cyber_kinetist · 2022-07 · Strong recommendation

There was a GDC talk telling a a story where two bored indie game devs made an AI that churns out throwaway low-quality slot machine games as a joke, but actually earned much more money they they’ve expected (thousands of dollars per day). They jokingly told that the reason for high CPU numbers was their “anti-retention” model, where people get so bored by their game that they would literally click ads to escape into another game! That talk was hilarious, here’s the link: [VIDEO]

Read the original HN comment ↗
chaorace · 2021-01 · Recommendation

If you think that's bad, check out this GDC Talk: [VIDEO] They procedurally generated 1,500+ different iterations on top of the same Unity-based slots shovelware using noun/adjective pairs. The general success they enjoyed is as sad as it is hilarious . For the record, the most enticing descriptor categories were: "3D", "Luxury", "Casino/Gambling", and "Sexy".

Read the original HN comment ↗
jordanwallwork · 2020-09 · Recommendation

Reminds me of this brilliant GDC Talk - 1,500 Slot Machines Walk into a Bar: Adventures in Quantity Over Quality [VIDEO]

Read the original HN comment ↗

Sources

Video by GDC Festival of Gaming, 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