HackerTube.dev

Blitzscaling 08: Eric Schmidt on Structuring Teams and Scaling Google

Greylock · 672.8K views · 2015-10-23 · 1:22:39

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

Stanford Blitzscaling class session where Reid Hoffman interviews Eric Schmidt about structuring teams and scaling Google. Topics include Alphabet, hiring, and how Chrome and Android operated inside the company.

On Hacker News

Cited as a first-hand source for how Google's leadership thought about hiring, organization and the Alphabet restructuring.

Recommended by 1 HN people across 1 months · HN mentions 2016–2024

Topics

Search by tags

What people said

simonpure · 2016-08 · Recommendation

Eric shared some of his thoughts shortly after announcing Alphabet at Stanford's Technology-enabled Blitzscaling class if you're interested in some of the motivation and types of problems they're trying to solve with it [0] [0] [VIDEO]

Read the original HN comment ↗
fnikacevic · 2024-01 · Reference

The perception of autonomy at Google was somewhat marketing. In reality the company was extremely rigorous and top down. They used the perception to hire the creative genius types they wanted. Eric Schmidt (Former CEO of Google) discusses it here: [VIDEO]

Read the original HN comment ↗
rkk3 · 2021-06 · Reference

Google famously only hired people with elite education credentials in the beginning. "We also didn't want to hire anyone from what were considered lesser universities" Eric Schmidt [VIDEO]

Read the original HN comment ↗

Sources

Video by Greylock, 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: Matches the configured criteria
  • 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