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.
Related:?
Topics that appear in the same chunks as this one. Use this to find semantic neighbors, not ranking neighbors.
A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
broken glass appears in 24 chunks across 19 episodes, from 2023-10-09 to 2026-05-04.
Its densest episode is Bits and Bobs 4/27/26 (2026-04-27), with 3 observations on this topic.
Semantically it travels with personal data, existence proof, and expected value, while by chunk count it sits between Twitter and dead end; its yearly rank moved from #50 in 2023 to #27 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2023-10-09 to 2026-05-04Mean1.3 per episodePeak3 on 2026-04-27
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 24 observations sorted from latest to earliest.
Reducing the amount of broken glass to crawl through creates value.
People with a high pain tolerance in that domain won't understand it: "you can still do the thing you could have done...
...hink this thing sucks but if you want to use it feel free to crawl through this broken glass" and it sucks the user can't blame the creator.
That makes the thing more resilient to the downside risk of users having such a bad time that they ne...
....
Joining in requires going through a gauntlet: crawling through some amount of broken glass.
Maybe the product is very rough around the edges of hard to use.
This is a naturally-occurring gauntlet for the first release of products!
Or maybe ...
...azy!
But assume that they see something others do not. They're crawling through broken glass based on the strength of that conviction and the value the behavior creates for them.
Look at what the user is doing and try to steelman it. What if ...