Craft and publish engaging content in an app built for creators.
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Post on LinkedIn, Threads, & Mastodon at the same time, in one click.
Make it punchier 👊
Typefully
@typefully
We're launching a Command Bar today with great commands and features.
AI ideas and rewrites
Get suggestions, tweet ideas, and rewrites powered by AI.
Turn your tweets & threads into a social blog
Give your content new life with our beautiful, sharable pages. Make it go viral on other platforms too.
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Powerful analytics to grow faster
Easily track your engagement analytics to improve your content and grow faster.
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Share a recent learning with your followers.
Create engagement
Pose a thought-provoking question.
Never run out of ideas
Get prompts and ideas whenever you write - with examples of popular tweets.
@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
Share drafts & leave comments
Write with your teammates and get feedback with comments.
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Easlo
@heyeaslo
Reply with "Notion" to get early access to my new template.
Jaga
@kandros5591
Notion 🙏
DM Sent
Create giveaways with Auto-DMs
Send DMs automatically based on engagement with your tweets.
And much more:
Auto-Split Text in Posts
Thread Finisher
Tweet Numbering
Pin Drafts
Connect Multiple Accounts
Automatic Backups
Dark Mode
Keyboard Shortcuts
Creators love Typefully
180,000+ creators and teams chose Typefully to curate their Twitter presence.
Marc Köhlbrugge@marckohlbrugge
Tweeting more with @typefully these days.
🙈 Distraction-free
✍️ Write-only Twitter
🧵 Effortless threads
📈 Actionable metrics
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.
Queue your content in seconds
Write, schedule and boost your tweets - with no need for extra apps.
Schedule with one click
Queue your post with a single click - or pick a time manually.
Pick the perfect time
Time each post to perfection with Typefully's performance analytics.
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Retweet and plug your posts for automated engagement.
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Write once, publish everywhere
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Writing prompts & personalized post ideas
Break through writer's block with great ideas and suggestions.
Never run out of ideas
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Get inspiration from ideas based on your own past tweets.
Flick through topics
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Write, edit, and track tweets together
Write and publish with your teammates and friends.
Share your drafts
Brainstorm and bounce ideas with your teammates.
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@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
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Read, Write, Publish
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5 free Data Science courses from @Stanford:
▪️ Machine Learning
▪️ Statistical Learning
▪️ Reinforcement Learning
▪️ Computer vision
▪️ NLP
Read more 🧵👇
Machine Learning Full Course taught by @AndrewYNg
This course is an absolute legend.
If you ask someone who's already in ML, they likely say that they started their journey with this course.
cs229.stanford.edu/syllabus-autumn2018.html
Statistical Learning
Intro-level course in supervised learning, covering regression, classification, and unsupervised learning with tutorials and detailed sessions.
Emphasis is placed on intuitive explanations and uses R for computing.
online.stanford.edu/courses/sohs-ystatslearning-statistical-learning
CS234: Reinforcement Learning
Master the art of Reinforcement Learning (RL) with this comprehensive introduction. Explore core challenges, cutting-edge approaches, and powerful techniques like generalization and exploration.
web.stanford.edu/class/cs234/index.html
Computer vision with @drfeifei
A deep dive into the details of deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.
cs231n.stanford.edu/
Natural Language Processing with Deep Learning
The focus is on deep learning approaches: implementing, training, debugging, and extending neural network models for a variety of language understanding tasks.
youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ