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Make it punchier 👊
Typefully
@typefully
We're launching a Command Bar today with great commands and features.
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Give your content new life with our beautiful, sharable pages. Make it go viral on other platforms too.
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@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
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Easlo
@heyeaslo
Reply with "Notion" to get early access to my new template.
Jaga
@kandros5591
Notion 🙏
DM Sent
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180,000+ creators and teams chose Typefully to curate their Twitter presence.
Marc Köhlbrugge@marckohlbrugge
Tweeting more with @typefully these days.
🙈 Distraction-free
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I recommend giving it a shot.
Jurre Houtkamp@jurrehoutkamp
Typefully is fantastic and way too cheap for what you get.
We’ve tried many alternatives at @framer but nothing beats it. If you’re still tweeting from Twitter you’re wasting time.
DHH@dhh
This is my new go-to writing environment for Twitter threads.
They've built something wonderfully simple and distraction free with Typefully 😍
Santiago@svpino
For 24 months, I tried almost a dozen Twitter scheduling tools.
Then I found @typefully, and I've been using it for seven months straight.
When it comes down to the experience of scheduling and long-form content writing, Typefully is in a league of its own.
Luca Rossi ꩜@lucaronin
After trying literally all the major Twitter scheduling tools, I settled with @typefully.
Killer feature to me is the native image editor — unique and super useful 🙏
Visual Theory@visualtheory_
Really impressed by the way @typefully has simplified my Twitter writing + scheduling/publishing experience.
Beautiful user experience.
0 friction.
Simplicity is the ultimate sophistication.
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@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
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Released diagen yesterday, but how does it work?
1. Generate @terrastruct d2 diagrams with the model of your choice. Sonnet seems best, o1 seems needlessly expensive, gemini-flash is insane if you do a few rounds of visual reflection.
What's visual reflection? 👇
x.com/hrishioa/status/1843685800875266470
2. Fix any errors in the diagram by running a few loops cleaning the errors from the rendering engine and passing it to a correction model. I've found sonnet is great at this, almost too good.
This is sonnet trying to make the best of things
3. We use a multimodal LLM (gemini-flash-8b is insane for this, but Haiku is the best for price to performance) to provide feedback we can use to improve the generated diagram.
Rinse and repeat.
That and a bunch of prompt optimizations and engineering to pull it together!
