Dott

A product tinkerer. Bootstrapping my way to freedom. Sharing my experience with product growth.
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[Dott @DottChen]

@jorilallo did the merge at https://t.co/09mjJqy7y5 to remove the app sub domain. no user complaints. it’s simply better for marketing sites to behave differently between logged in/out users.

[Dott @DottChen]

https://t.co/CNkj4XF57p

[Dott @DottChen]

@JacobyBrandon here 🙋‍♂️

[Dott @DottChen]

indicators of AI slop

[Wes Bos @wesbos]

the four horsemen of the apocalypse

[Dott @DottChen]

@tualatrix 想来，但是我熬不了夜🥲 等第二天的推送了

[Dott @DottChen]

@emilkowalski i think it can still go back to the classic Human Interface Guidelines by Apple and their SDKs. almost any modern frontend motion lib is referencing their naming

[Dott @DottChen]

@swyx @akothari @NotionHQ @ivan This is super helpful

[Dott @DottChen]

Earned content like YouTube and 3rd party review articles will be even more important.

[Tim Soulo 🇺🇦 @timsoulo]

In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:

1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.

2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.

3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.

4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.

5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero.

6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.

7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.

8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.

9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).

10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.

[Dott @DottChen]

@filippkowalski @DmytroKrasun picasso liked it.

[Dott @DottChen]

@royxy 同济研究生里最火的小群就是转行经验交流群

[Dott @DottChen]

i use weread as a reader to add my notes and then bult import them into obsidian. similar workflow but ot removes the heavy lifting of maintaining the notes myself. also created https://t.co/cOlLRlNDs4 to help me translate all the books into bilingual with Chinese on the side before reading. helped me unlock a lot more.

[Dott @DottChen]

experiences on what worked and what not, and intuition based on common sense. but i’m not saying data is not important here. it’s just that at certain stages of a product’s lifecycle, pursuing data accuracy for the sake of it is just not worth it. sometimes best listen to some qualitative feedback.

[Dott @DottChen]

@frank_ for being broken and unusable?

[Dott @DottChen]

@caiyue5 刚来杭州的我惊了，果然出了北京都是好地方

[Dott @DottChen]

There are self-driving delivery cars in Hangzhou now? 😂

[Dott @DottChen]

@daniel_nguyenx switch cost i think. people choose codex to be their first agent, but they already use Chrome for browser.

[Dott @DottChen]

@Altawesomeee i don’t think it’s going to be API. it’s going to be on-device inference cause that’s the only way this is scalable and sustainable for Apple

[Dott @DottChen]

My prediction for #WWDC26: Agent SDK for apps.

[Dott @DottChen]

ok the original photo is here