Alex Valaitis Profile picture
Jul 25 20 tweets 7 min read Twitter logo Read on Twitter
Rebranding from Twitter to X was a brilliant business move by @elonmusk

A lot of people think this is a mistake, but they couldn't be more wrong.

By the end of this thread, you will understand why 🧵 https://t.co/FDIMmNUoKKtwitter.com/i/web/status/1…
Image
Let's begin by understanding Twitter's business model as a Social Media platform:

-Twitter drives new USERS to its site

-It convinces these users to have more SESSIONS by serving engaging content

-It then makes REVENUE by selling those eye balls to advertisers
Social media companies like Meta have grown to nearly a $1 trillion valuation with this same model.

Yet, Twitter was only acquired for $44 billion by Elon.

Why has Twitter not been able to drive as much revenue as Meta?

I believe this happened for 2 main reasons... Image
1) Twitter had a fundamental cap on the number of people it appealed to:

Aside from all the degenerate activity on this site, the reality is that Twitter is THE most highbrow social platform in the world.

It's where the world's elite go to engage in written & spoken debate. Image
2) Twitter also never did a good job of monetizing the ~300M users it did have.

That is because they never built out a proper ads platform.

(I've spent $100K+ on ads, and can confirm that Meta is miles ahead)

This is problematic when ads is 90% of your revenue... Image
So for the better part of a decade, Twitter's growth stagnated on: Users & Ad revenue.

This was reflected in their share price, which was actually HIGHER in 2013 than it was in 2023.

(During this same timeframe, other companies like Meta saw their stock 10x in value) Image
Once Elon completed the purchase of Twitter, he had 2 options to recoup his investment:

1) Stay a Social Media company & fix the user growth + ad platform problems

OR

2) Use the Twitter data + social graph to build a NEW company that could be even more valuable.
IMO, choosing path 1 was always going to be a losing battle.

Some of the best & brightest minds in Silicon Valley have failed to fix these problems over the past decade.

The reality is that NOTHING was working.

I believe Elon realized this and chose path 2...
Let's put ourselves in Elon's shoes for a minute.

IF you had to transform Twitter into a new company, what type of company could one day be worth $50M?

How about an AI research company? Image
How would you do this with Twitter?

-Create a new AI company with the best AI/ML researchers in the world (maybe call it @xai)

-Train an AI model on 17 years worth of text (Tweets)

-Cut off all 3rd parties from that training data

-Launch a ChatGPT competitor to 300M users Image
But a generative AI company is still thinking too small.

What else could the company become that would justify a $100 billion+ valuation...

How about a payments company? Image
How would you do this with Twitter?

-Get users to attach their Credit Card by aggressively pushing a paid subscription service (Blue)

-Leverage the social graph to automatically connect people

-BONUS: Have history of building one of the biggest payment companies of all time Image
But of course to pull this all off you would need A LOT of capital.

Sure, being the richest man in the world helps. But it's still not enough.

No...you need to raise $ from the public markets.

But how do you do this with a social media app who's stock stagnated for years?
Well the answer is simple:

You make people forget that the company was EVER a social media app called Twitter.

You strip the name/brand/color from everywhere as quickly as possible.

You need to memory hole that previous brand. Image
In its place, you begin to paint a new vision:

The Everything App.

Now THIS is a narrative you can sell to the public markets.

Especially when you are one of the greatest business men/visionaries of all time.

(Like the type that builds a trillion $ EV company) Image
Here's the kicker:

Because of your track record, you don't even need to drive tens of billions of $ in revenue.

You just need to show enough traction across AI/Payments/Social, to sell a narrative.

(This will be easier when interest rates inevitably fall)
And that my friends is why Elon is rebranding from Twitter to X in such a hurry.

Of course the armchair quarterbacks & media are going to hate on it (like they do with all his other companies).

They'll try to convince you he's an idiot & that he's making huge mistakes...
And who knows, maybe this time they'll finally be right.

But the reality is that there hasn't been a worse person to bet against in the history of business.

So I know who I've got my money on. Image
If you enjoyed this thread, please consider:

1. Following me @alex_valaitis

2. Subscribing to my newsletter

(Will do more deep dives like this one) 👇

bigbraindaily.com/subscribe
Btw, my goal is not to have an echo chamber here.

Like/Comment/RT in order to drive the convo.

I want their to be a record of where everyone stood, when X Corp IPO's in a few years:

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More from @alex_valaitis

Jul 9
🔮Prediction: Zuck's new app will be shut down in 12 months or less.

Everyone seems to think it will be the Twitter killer, but that couldn't be further from the truth.

Here's how I think it plays out... https://t.co/B9raBIXSpgtwitter.com/i/web/status/1…
Let's first begin by understanding WHY Zuck decided to strike at Twitter right now

He senses weakness because:

-Many brands/journalists/media outlets do not like Elon's politics

-There's been some recent stumbles at Twitter (rate limiting)

-Twitter's debt limits its options
He believes that if he can win, he will receive the following:

-More lock-in from brands (who will become dependent on the Meta app ecosystem)

-New revenue channel (brands can advertise on Threads)

-More text-based data to train Meta's AI models on
Read 15 tweets
Jun 15
The EU just passed the first draft of major AI laws known as the "AI Act"

Non-compliance could cost companies $43 million in fines!

Let's dive into more details 🧵 twitter.com/i/web/status/1… Image
The EU has always been a leader when it comes to internet regulations.

The GDPR laws passed in 2016 remains some of the most comprehensive around data protection.

So it's no surprise to see them already on top of AI.

But what is their approach? Image
For starters, they want to put restrictions on the "riskiest" use cases.

These include:

-AI used to power critical infrastructure
-AI used in the legal system
-AI used to determine access to govt. benefits
Read 8 tweets
Jun 13
🚨A looming problem in AI: Model collapse

As most of you know, large language models (LLMs) rely on data to train on.

Usually this is supplied by human sources, but this is quickly changing... twitter.com/i/web/status/1… Image
As generative AI has taken off, the internet has been flooded with AI-generated content.

This content is then being fed back into the LLMs to train on.

Why is this problematic?
According to a recent paper by researchers in the UK:

"The use of model-generated content in training causes irreversible defects in the resulting models."

What are these irreversible defects?
Read 7 tweets
Jun 5
I think @Apple's #WWDC23 event is going to be a game-changer.

I'm expecting major AI announcements + an iPhone-like moment with the VR headset.

I'll be live tweeting the event as it goes down. Follow along here 🧵
@Apple Maybe I'm overthinking it, but the energy already feels different for this event.

Upbeat music + this cool shape-shifting Apple logo.

Now transitioning to an opening ad at 12:00 pm on the dot. Image
@tim_cook coming in live from Apple's campus.

Tim is already putting a strong emphasis on developers. Mentions that it is "15 year anniversary" of the app store.

Says some of the "biggest announcements ever" are coming today 👀 Image
Read 34 tweets
May 30
Legacy media is dying.

But, nobody has been able to put together all of the pieces.

Why is this happening? And who will take their place?

Here is the ultimate breakdown of the changing media landscape 🧵 Image
In order to understand the downfall, we must define what legacy media encompasses.

There are 5 main categories of legacy media: Print media, Film, Music, Radio, Television.

While there are nuances to each, they share a few things in common... Image
-Not founder led: All of these companies are 100+ years old. (More risk averse)

-Mass market reach: They aim for broad audiences (vs niche audiences)

-Ad-based businesses: Make most $ from advertisers

-Professional production value: Need to hire expensive professionals
Read 22 tweets
May 30
Starting my build in public journey by launching a new AI project with @itsasharashar:

'InterviewMe AI'

It's currently just a Beta, but here's why we think it could become a game-changer 🧵 Image
Anyone who's ever completed a technical interview knows how daunting the experience can be.

One wrong answer can be the difference between landing a $200K+ job offer or getting rejected.

The best way to increase your odds is through practice...
Unfortunately, most software interview prep sites come up short:

❌ Generic interview questions
❌ No real-time feedback
❌ No variety (only technical questions)
Read 7 tweets

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