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DHH on Growth · ViralLoop

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Post by DHH on X

It’s also a cautionary tale for sleep deprivation, mindless overwork, delusions of The Mission, petty management, hockey-stick growth pressures, running-fast-and-dangerously-deceiving-customers, and so many more golden nuggets of Silicon Valley lore.

152 likes1 repliesPosted Jul 22, 2018

View the original on X Written by DHH. Captured Sep 4, 2026.

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22

Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook
Style: Conversational paragraphs at a steady pace.
Tone: plain, matter-of-fact
Written for: Growth and marketing teams

Analysis by ViralLoop — not written by the original author.

Topics

Growth Revenue Health

Posts built the same way

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It's not my data. The source is Cluvio, which is linked to in the article. I'd link to it in this tweet, but ironically, that would kill engagement. And I know that traffic is hard to count. Especially for a private company. But if you have more accurate data, then publish it.

A little secret. About 5% of our production traffic is on the Pi harness, about another 5% is on OpenCode. Reminder you can use your ChatGPT account in a flourishing set of other tools. We’ll continue to make Codex awesome, but you have options.

woah first thing Jensen says on the call: “There’s been a lot of talk about the AI bubble, here’s what we are seeing at Nvidia.” completely addresses the bubble concerns head first and then proceeds to challenge the narrative by explaining Nvidia’s growth

Matthew Prince 🌥

Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. t.co

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Fable one-shotted a Rust rewrite of the TerminalTextEffects Python library in 11M tokens. Startup time went from 87ms to 2ms and rendering speed is up by 9.6x. Now zero dependencies and a 3mb single exec 🤯 t.co

I just hoped back on Kimi K2.7 for some work yesterday. Hadn't been using it since GPT 5.6 and Fable. But great reminder of just how good these open-weight models have gotten. For what I was doing, Kimi was faster and just as good. Excited for K3!

The Omarchy 4 branch is now 30,000 lines of new code. The majority of it was written by GPT5.5. It's been so, so good at QML. You still need to review, but there's just no way this scale of a conversion would be feasible without AI in a reasonable time. t.co

I think it's great that all the model providers are coming out with their own CLIs, but let's be honest, no dev is going to want to have five different CLIs installed. They're going to want to learn and use one tool with all the models. For me, that tool is OpenCode.

I love the models Anthropic are offering, but I seriously hope it's a mistake that they're blocking alternative harness providers, like @opencode, from working with their subscriptions. Seems very customer hostile. t.co

Apple exodus set to continue. This is the price of keeping a bean counter at the head for so long. Cook's legacy will not improve by dragging his own departure out any longer. Maybe he should do like Ballmer and buy a basketball team?