Writing for Twitter and Writing for Action [Julian Shapiro, Aella, Sam Parr]
Writing for Twitter and Writing for Action [Julian Shapiro, Aella, Sam Parr]

Writing for Twitter and Writing for Action [Julian Shapiro, Aella, Sam Parr]

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9 min
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<p><strong>Audio source:</strong><a href="https://www.brainspodcast.com/episode/internet-creators-2"><strong> https://www.brainspodcast.com/episode/internet-creators-2</strong></a></p><ul> <li> <strong>Julian</strong><ul> <li>Research top ranked posts of all time (HN Algolia, Twitter like filters, Indiehackers top posts) and find the patterns</li> <li>Threads are useful because they show "meat" - "proves that you can sustain how interesting you are across multiple messages"</li> <li>Julian's post on <a href="https://www.julian.com/guide/growth/content-marketing#sourcing-ideas">Content Marketing: Novelty and Usefulness</a> </li> <li>Categories of novelty:<ul> <li>Counterintuitive — "I had no idea" or "I would have never thought that's how the world worked".</li> <li>Elegant sentence — "It's where you capture something, people know, but you say it so beautifully. They think I couldn't have said that better. Or you took the words right out of my head."</li> <li>Shock and awe — "holy crap. I cannot believe that just happened. Thanks for sharing that news." </li> </ul> </li> <li>Actionable: <ul> <li>"Hey, now that you know this novel piece of information, here's what you can do". </li> <li>"Here are the steps, here's how this would now affect how you navigate the world going forward." </li> </ul> </li> <li>"Actionable and novel in like a thread form tends to perform exceptionally well."</li> </ul> </li> <li> <strong>Aella</strong><ul> <li>"Aella has all these polls on Twitter and they're almost always asking people like these super controversial things."</li> <li>"What I did is I went through all of the polls. I've been doing polls for like pretty steadily for about three years. I have around 1500 and I put them all on a spreadsheet. And then I sorted them all by like the amounts of likes and retweets. And like, I weighted them differently. And then I sorted it by ones that are most divisive. So like the answers tend to be like roughly 50, 50. And then I selected from there in different categories. And I had

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