The user tolerance with AI tools is high.
The user tolerance with AI tools is high. They're so obviously useful that early adopters will put up with them every so often punching them in the face.
Topic: early adopter
18 chunks · 16 episodes
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.
- early adopter appears in 18 chunks across 16 episodes, from 2024-01-08 to 2026-02-09.
- Its densest episode is Bits and Bobs 3/3/25 (2025-03-03), with 2 observations on this topic.
- Semantically it travels with network effect, mass market, and mental model, while by chunk count it sits between discretionary effort and emergent process; its yearly rank moved from #102 in 2024 to #64 in 2026.
Over time
?
Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Observations
?
The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
When you have the right set of conditions, you can do a low-risk alpha rollout that possibly scales smoothly to a full rollout if the product turns out to be ready.
...ficant differentiation from alternatives… 4) …with a hyper-motivated segment of early adopters.
Don't get captured by your early adopters.
Don't get captured by your early adopters. There are a number of groups that are likely to be early adopters… and are also very unlike the mass market. If you aren't careful, you could get "...
A product whose early adopters all share a commonality unlike the general public likely has a low ceiling.
A product whose early adopters all share a commonality unlike the general public likely has a low ceiling. For example, imagine a product with a privacy angle where 60% of its ear...
My friend Dimitri has a classic essay about the composition of early adopters.
My friend Dimitri has a classic essay about the composition of early adopters. A few riffs: The Doers are the most populous. They just want to use the thing to achieve a task. They give the overall momentum to the group. The T...
I can't believe that Chrome is planning to roll out AI autopilot for the browser.
...ling out the feature by default for the mass market vs rolling it out for savvy early adopters who can better understand the risk is a way bigger risk. Chrome hasn't talked about any novel mitigations they've come up with. Either they're being...
A lot of companies are focusing on "AI chief of staff" using normal top-down, close-ended systems.
...erland, you don't have to structure any part too closely. See what people, even early adopters, choose to build on from what others created: those are the load-bearing things. The use cases can emerge, like a folksonomy.
The bigness of a vision can crowd out the concrete seed it will grow from.
... have an open-ended system that will change the world, 70% of the perception of early adopters should be the simple starting part. 20% of people should see the obvious extensions into direct adjacencies. Only 10% get the whole abstract vision....
The adoption of a new product has two distinct curves:
...ee whiz" temporary flash-in-the-pan bump of how well it demos, powered by every early adopter trying it once. 2) the "this is useful" compounding curve powered by word of mouth. The two curves are different and distinct. Things that demo well ...
User feedback should be used as disconfirming evidence.
...doesn't tell you what to think. You have to have your own hypothesis. What your early adopters (or users via UXR) ask you to do is great signal. But don't just follow it blindly.
Dozens of companies over the years have pitched: 'an intelligent personal assistant for your email'.
...eason it keeps popping up as a pitch is because everyone wants it so much. Tech early adopters have become more skeptical of the pitch just because they've heard it so much and it's never worked, so they assume the next one pitching it also wo...
When you have a compelling product, sometimes you can do a pull, not push GTM strategy.
...you want the product to go, so you don't blindly follow the "weird" requests of early adopters and iterate into a dead end. You want to surf the energy in front of you not with the steepest gradient, but that best aligns with where you want to...
Be careful about blindly following your early adopters.
Be careful about blindly following your early adopters. The early adopters can pull you in weird, random directions. A mental model to get the underlying dynamic: Imagine an underlying distribution of po...
Communities that grow slowly tend to be more resilient and durable.
...what they want, they will give you interesting dimensions to develop on. If the early adopters have to go through a gauntlet, the less-engaged bounce, and only the most-engaged remain. Sometimes the gauntlet is too intense, and a critical mass...
People are willing to invest effort in a product or skill if they expect there to be a return to their effort relatively soon.
...the ladder. "Use it for X, it will work for you! You can do it!" People who are early adopters, who follow the thought influencers on Twitter, can curate and pass on that knowledge to other people.
An ecosystem has not crossed its rubicon of viability until demonstrating network effects strong enough to break through the early adopter ceiling.
...iability until demonstrating network effects strong enough to break through the early adopter ceiling. If you have network effects but a low ceiling, it can't change the whole world. To change the whole world, you have to have gravity-well sty...
Stray thoughts on LLMs.
...on't know what it's for yet! Typically with new technologies, there's a wave of early adopters who experiment and sense-make about the new technology, and share those best practices with new users as they join. ChatGPT is weird in that we have...
Early adopters are more engaged.
Early adopters are more engaged. There's an inherent self-selection bias: they are by definition more engaged, more willing to try new things than the rest of the ...