talk · HACKER NEWS RECOMMENDATION
How We've Scaled Dropbox
Stanford · 5 HN recommenders · 5 recommendation months
Recommended by 5 Hacker News commenters across 5 months (2014–2023).
SignalTube analysis
Among 65 other talk videos tagged Distributed systems, the mean is 3.2 distinct HN recommenders. This video has 5 distinct HN recommenders, about 1.6× that mean. Recommendations span 5 distinct months; the peer average is 3.4 months. This is a data-derived comparison, not a human review or quality rating.
63% of its 8 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2014–2023; those years describe discussion history, not upload date. Its verified runtime is 68 minutes 17 seconds. YouTube lists its publication date as 2012-09-10.
- Channel / speaker
- Stanford
- Verified runtime
- 1h 8m 17s
- YouTube upload date
- 2012-09-10
- Hacker News mention years
- 2014–2023
SAME TOPIC AND FORMAT
Compare with related videos
The comparison cohort uses other talk videos in Distributed systems. “Shared recommenders” counts HN users who recommended both videos in the source graph.
| Video | HN recommenders | Recommendation months | Positive label share | Shared recommenders | Runtime | Upload date |
|---|---|---|---|---|---|---|
| How We've Scaled DropboxCurrent video | 5 | 5 | 63% | — | 1h 8m 17s | 2012-09-10 |
| The Soul of Erlang and Elixir • Sasa Juric • GOTO 2019talk · GOTO Conferences | 16 | 14 | 80% | No recorded overlap | 42m 3s | 2019-05-22 |
| "Testing Distributed Systems w/ Deterministic Simulation" by Will Wilsontalk · Strange Loop Conference | 12 | 11 | 60% | No recorded overlap | 40m 20s | 2014-09-20 |
| The Language of the System - Rich Hickeytalk · ClojureTV | 10 | 9 | 67% | No recorded overlap | 62m 50s | 2013-02-28 |
THREE SOURCE-BASED CONTEXT POINTS
Why Hacker News recommends it
Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.
The archive classifies this as a contextual reference in “Ask HN: It's 2023, how do you choose between MySQL and Postgres?”. Its short rationale: Illustrates primary key clustering for range queries.
The archive classifies this as a contextual reference in “How database indexing works internally”. Its short rationale: Explains Dropbox's change to composite primary key for data locality.
The archive classifies this as a strong recommendation in “How we rolled out one of the largest Python 3 migrations”. Its short rationale: Riveting look at the technology behind Dropbox.