If you're starting out this one is perfect for you.
Curate lists of:
- Tools to use.
- Books to read.
- Creators to follow.
- Podcasts to listen to.
Add a question & you got a banger.
Grab this template ↓
In the past couple of months, 50,000,000 people read my Tweets.
That's more than the population of Canada.
My Secret?
I use the same 7 templates every time (Grab them for free) ↓
If you're starting out this one is perfect for you.
Curate lists of:
- Tools to use.
- Books to read.
- Creators to follow.
- Podcasts to listen to.
Add a question & you got a banger.
Grab this template ↓
1. ______________
2. _____________
3. ____________
4. ___________
5. __________
6. _________
7. ________
→ What did I miss?/What else?
This one will get you authority and fans.
Break down something you did in steps.
List them down & encourage people to go for it.
Grab the template ↓
1. ______________
2. _____________
3. ____________
4. ___________
5. __________
6. Thank me later
We hate to admit it.
But humans love to compare things.
Why? Your brain LOVES contrast.
Steal A vs B Template ↓
Old/bad/slow/wrong [way or action]
❌ Bad way#1
❌ Bad way #2
❌ Bad way #3
New/good/fast/right [way or action]
✅ Good way #1
✅ Good way #2
✅ Good way #3
The Twitter algorithm loves replies.
The best way to get replies is = Ask questions.
Steal these examples & template ↓
How did you make your first $1 online?
What is your favorite [X]?
Who is your favorite creator on Twitter?
In ONE WORD, what stops people from doing [X]
In ONE WORD, what stops people from building an online audience?
People get excited when you share what you're building.
Take it a step further by asking for advice.
Here is a template you can use ↓
I'm planning to do [the thing you want to build].
What would you do if you were me?
This one is Twitter's secret weapon.
If you use it right, you can easily go viral.
if you want this one to work: Be BOLD.
Grab the Template ↓
In reality [take a stand against it].
Example:
Having high engagement on your Tweets is bullshit.
In reality, likes ain't cash my friend.
The comobination of:
Doing something impressive.
+
Sharing your lessons learned.
Gives you an edge over everyone else.
Use this Template to Ace it ↓
Here are X Lessons I learned:
1. Lesson #1
2. Lesson #2
3. Lesson #3
4. Lesson #4
5.Lesson #5
🆚 A vs B
📑 Listicles
🌶️ Hot Takes
🔖 How to do X
🛠️ Build in public
❓ Asking questions
✨ Lessons learned
• Follow me @albadawee on my journey from 0 → $1M.
• Like/Comment/ RT to help your friends up their content game. https://t.co/A3b40ZXd34
In the past couple of months, 50,000,000 people read my Tweets.
— Sohaib Albadawee (@albadawee) March 7, 2023
That's more than the population of Canada.
My Secret?
I use the same 7 templates every time (Grab them for free) \u2193
More from All
How can we use language supervision to learn better visual representations for robotics?
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
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"I really want to break into Product Management"
make products.
"If only someone would tell me how I can get a startup to notice me."
Make Products.
"I guess it's impossible and I'll never break into the industry."
MAKE PRODUCTS.
Courtesy of @edbrisson's wonderful thread on breaking into comics – https://t.co/TgNblNSCBj – here is why the same applies to Product Management, too.
There is no better way of learning the craft of product, or proving your potential to employers, than just doing it.
You do not need anybody's permission. We don't have diplomas, nor doctorates. We can barely agree on a single standard of what a Product Manager is supposed to do.
But – there is at least one blindingly obvious industry consensus – a Product Manager makes Products.
And they don't need to be kept at the exact right temperature, given endless resource, or carefully protected in order to do this.
They find their own way.
make products.
"If only someone would tell me how I can get a startup to notice me."
Make Products.
"I guess it's impossible and I'll never break into the industry."
MAKE PRODUCTS.
Courtesy of @edbrisson's wonderful thread on breaking into comics – https://t.co/TgNblNSCBj – here is why the same applies to Product Management, too.
"I really want to break into comics"
— Ed Brisson (@edbrisson) December 4, 2018
make comics.
"If only someone would tell me how I can get an editor to notice me."
Make Comics.
"I guess it's impossible and I'll never break into the industry."
MAKE COMICS.
There is no better way of learning the craft of product, or proving your potential to employers, than just doing it.
You do not need anybody's permission. We don't have diplomas, nor doctorates. We can barely agree on a single standard of what a Product Manager is supposed to do.
But – there is at least one blindingly obvious industry consensus – a Product Manager makes Products.
And they don't need to be kept at the exact right temperature, given endless resource, or carefully protected in order to do this.
They find their own way.
