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.
network effect appears in 74 chunks across 52 episodes, from 2023-10-02 to 2026-10-12.
Its densest episode is Bits and Bobs 4/8/24 (2024-04-08), with 3 observations on this topic.
Semantically it travels with expected value, early adopter, and schelling point, while by chunk count it sits between schelling point and chatbot; its yearly rank moved from #5 in 2023 to #43 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2023-10-02 to 2026-10-12Mean1.4 per episodePeak3 on 2024-04-08
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 74 observations sorted from latest to earliest.
...based software, have very little competition on a feature-by-feature basis.
The network effects are so insanely strong, that any given new competitor can't just compete on the level of an individual feature or two.
The feature would have to be ...
...ust with Codex and ChatGPT, but also many other apps.
This creates an ecosystem network effect, making the pull towards the subscription stronger.
OpenAI is just a "faceless platform" for those use cases in other apps… but users still have to p...
Using modern tech feels like living in a digital company town.
Network effects mean you don't have much of a practical choice.
If you want to professionally network you will use LinkedIn.
There isn't a choice for a ranking algo...
... make sense for everyone to lay cables to everyone.
But also, there are natural network effects.
People would want to join the biggest network.
Social software infrastructure also has natural monopolies in today's physics of trust.
The silo wit...
Network effects run in proportion to the user value minus the switch cost.
How much do people want to join in?
Once they do, how hard is it to switch to any newcome...
...aybook is about having a 6 month monopoly on a corner of PMF.
But you can't get network effects to boot up in 6 days.
Humans just don't go that fast, and that's the fundamental clock speed of network effects.
Code used to be created by humans, ...
...will typically run hotter for the same amount of functionality.
The compounding network effects get stronger because every marginal new participant now has fewer reasons to not join.
The "hmmmm if I join I'll be beholden to this ever-more-power...
If you're making a consumer product you have to demonstrate network effects.
That's a multi-step process.
If you're doing a product for enthusiasts in a category that already exists, you just have to show your thing is bette...
...y surplus created declines.
Aggregators are better than most monopolies because network effects mean the products are better than competitors'.
But that's more due to the inherent network effect than the value created by the aggregator.
But the...
...ry hardy ones were left, and they could them dominate the empty territory.
With network effects, it's an order of magnitude easier to grab virgin territory than take territory from someone else.
Workflows are hard to change because there's an intra and inter network effect.
Inter: You need to coordinate with others.
If you change the workflow but others participate in it and don't change, then you can't change it.
Intra...
Web 2.0 accidentally gave us extremely powerful aggregators.
Before that, network effects were mainly individual.
But Web 2.0 was about leaning into the ability of the cloud to be networks.
You can't start a network effect on a base with only bonus value.
It needs to start from a nugget of primary value.
Single-player value must come before multi-player value.
Your decision to use a product with network effects is not individual.
Network effects make it impossible to vote with your feet.
Where else are you going to go?
You individually don't have a choice.
...use it."
The decision is too coarse grained to steer it on smaller details.
The network effects dominate the individual use cases.
So everyone is stuck using the one-size-fits-none option.
Same thing for a two party system, except with two opti...
AOL could ramp up its network effect faster than the open web in the early 90's.
AOL was a single-sided network effect.
Email, chat and IM grow in value with any user that joins.
The ope...