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The mechanics

Hook
Style
Tone
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Analysis by ViralLoop — not written by the original author.

Austen Allred on Product · ViralLoop

Post by Austen Allred on X

Austen Allred@Austen

Kind of crazy that Zuck doesn’t say, “We built this new feature for the community algorithmically determining accuracy and fact checking, we call it Democratized Fact-Check.” He’s straight-up like “Yeah X has community notes and that seems way better, we’ll just do that.”

3.5K likes118 repliesPosted Jan 7, 2025

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

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51

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

Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.
Quotes someone directly, which makes the moment concrete rather than summarised.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: corporate
Written for: Product teams

Analysis by ViralLoop — not written by the original author.

Topics

Posts built the same way

I am excited to welcome Linda Yaccarino as the new CEO of Twitter! @LindaYacc will focus primarily on business operations, while I focus on product design & new technology. Looking forward to working with Linda to transform this platform into X, the everything app.

Amazon is testing a new “AI English Dub” feature for anime and it’s genuinely fucking putrid and insanely disrespectful to actual human actors who put their life and soul into both the Dubs and Subs of these shows Fuck you @PrimeVideo @amazon

One reason vibe coding is so addictive is that you are always *almost* there but not 100% there. The agent implements an amazing feature and got maybe 10% of the thing wrong, and you are like "hey I can fix this if i just prompt it for 5 more mins" And that was 5 hrs ago

o3 and o4-mini are super good at coding, so we are releasing a new product, Codex CLI, to make them easier to use. this is a coding agent that runs on your computer. it is fully open source and available today; we expect it to rapidly improve.

Fable 5.1 is our best model yet for coding, data analysis, computer use, design, presentations, Tag, and the hardest long-running agentic work. This model is a pleasure to work with, and I've been using it for everything.

hey i'm really sorry to keep hyping our own product but you really should get chatgpt plus and install the chrome extension for search i am cheerfully the first to admit when we ship something that isn't very good, but this time it's...really good

More from Austen Allred

Both valued at $2.5 Billion today: Linear, having crossed $100 million ARR with 177% net revenue retention. Instinct, the viral AI assistant that launched last week.

“It’s time to create our new ad!” “I’ve got it. To open: sowing doubt about whether people should trust us. Then lead into, ‘Who can stop us if we’re out of control?’” “Yes, perfect. And the visuals?” “I’m thinking… house burning down, dystopian hellscape, graveyard.” “YES!”

The thing about Anthropic warning about massive unemployment, comparing AI to nuclear weapons, and calling for regulation is *they truly believe it.* The issue is that they think they’re going to be the ones who determine what will happen if that’s all true. And they won’t be.

Im calling BS on this story. 1. That would be 100,000 employees spending $5k/mo each or 10,000 employees averaging $50k/mo each. No way. 2. Anthropic isn’t going to float that much on an invoice without checking in 3. The source being a consultant talking about a client = lie

Anthropic is trying very, very hard to have maximum price discrimination based on whether or not your code is being run “programmatically” or not. This, not surprisingly, is kind of confusing to programmers.

And now it's time to see what my little brother has been working on for the past couple years: An AI model fully built on sub-quadratic sparse-attention architecture. Result? 12 million token reasoning model 150 tokens/second 1/5 the cost of Opus