Topic: react

50 mentions · 22 chunks · 17 episodes

15.0× 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.

2.3x burst in 2025 Q1

Peak quarter intensity across the topic's active span. Higher values mean attention was concentrated into a shorter stretch rather than spread evenly over time.

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.

react appears in 22 chunks across 17 episodes, from 2024-02-12 to 2026-05-04.
Its densest episode is Bits and Bobs 3/10/25 (2025-03-10), with 3 observations on this topic.
Semantically it travels with stuck, lower pace, and apis, while by chunk count it sits between opportunity cost and black box; its yearly rank moved from #48 in 2024 to #126 in 2026.

Over time

Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.

Range2024-02-12 to 2026-05-04Mean1.3 per episodePeak3 on 2025-03-10

Observations

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

Showing 22 observations sorted from latest to earliest.

Doing a TAM analysis will undercount the value of a TAM-creating thing.

from Bits and Bobs 3/11/24 · 2024-03-11

...a TAM-creating thing. TAM assumes a static world (or at least, one that doesn't react to what you do). But if you're unlocking new potential, then your product is creating value in the world, not just harvesting value.

If your OODA loop is sufficiently faster than other players, you don't need to anticipate, you can just react.

from Bits and Bobs 2/12/24 · 2024-02-12

...ficiently faster than other players, you don't need to anticipate, you can just react.