Topic: GitHub

34 mentions · 23 chunks · 22 episodes

13.4× distinctiveness vs baseline
?
How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.

Topic summary

?
A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
  • GitHub appears in 23 chunks across 22 episodes, from 2024-05-27 to 2026-04-20.
  • Its densest episode is Bits and Bobs 9/30/24 (2024-09-30), with 2 observations on this topic.
  • Semantically it travels with Copilot, prompt injection attack, and wild west, while by chunk count it sits between search engine and lowest common denominator; its yearly rank moved from #86 in 2024 to #42 in 2026.

Over time

?
Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Mean 1.0 mentions per episode across the full range2024-05-27: 1 mention2024-07-01: 1 mention2024-07-08: 1 mention2024-08-26: 1 mention2024-09-30: 2 mentions2025-01-27: 1 mention2025-03-10: 1 mention2025-06-02: 1 mention2025-06-09: 1 mention2025-07-07: 1 mention2025-07-14: 1 mention2025-07-28: 1 mention2025-08-18: 1 mention2025-10-13: 1 mention2025-10-20: 1 mention2025-10-27: 1 mention2025-12-08: 1 mention2026-02-09: 1 mention2026-03-02: 1 mention2026-03-09: 1 mention2026-04-13: 1 mention2026-04-20: 1 mention2024-05-27: 12024-07-01: 12024-07-08: 12024-08-26: 12024-09-30: 22025-01-27: 12025-03-10: 12025-06-02: 12025-06-09: 12025-07-07: 12025-07-14: 12025-07-28: 12025-08-18: 12025-10-13: 12025-10-20: 12025-10-27: 12025-12-08: 12026-02-09: 12026-03-02: 12026-03-09: 12026-04-13: 12026-04-20: 12024-05-272026-04-20

Observations

?
The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.