Alex Vacca Profile picture
Sep 7 17 tweets 6 min read Read on X
Pentagon can't operate without it.
Netflix can't stream without it.
And banks can't trade without it.

Yet most people have never heard of Akamai.

How a $11 billion company operating on a 25-year-old mathematical equation secures 2 trillion of your interactions 🧵 Image
In 2024 alone, Akamai blocked 311 billion web attacks (that's 850 million attacks per day)

But the irony is that the Israeli commando who co-founded Akamai was the first victim to be stabbed on the 9/11 flight.

While Danny Lewin was dying, his algorithm was being tested... Image
After the 9/11 attacks, news sites started crashing.

Billions of people wanted to know what was happening and flooded these websites.

However, few websites which worked on Akamai's math stayed online.

But how does the math running 30% of the internet actually work? Image
In 1995, Tim Berners-Lee (inventor of the internet) noticed a huge problem:

When millions of people wanted the same content, servers would crash.

He called it the "World Wide Wait" & challenged his MIT colleagues to fix it.

Tom Leighton, a math professor, took up the challenge Image
Leighton teamed up with Danny Lewin, his graduate student.

Danny was a former Israeli special forces captain.

They created algorithms so elegant they power 30% of internet traffic 25+ years later using the same equation.

Known as "consistent hashing" here's how it works: Image
Imagine every piece of content & every server mapped to points on a massive ring.

The ring spans from 0 to 2^128 - 1 (that's 340 trillion trillion trillion possible positions).

When you request a video, the system finds your request on the ring & serves it from the next clockwise server.

But why is this revolutionary?Image
Traditional systems break when you add servers.

So everything needs remapping, causing chaos.

Enter Consistent hashing: It only remaps n/m keys (where n = content pieces, m = servers).

Add 1,000 servers to a million-server network? Only 0.1% of content has to move. Image
This math breakthrough enabled a network of 365,000 servers across 4,000+ locations in 135 countries.

85% of internet users are now within one network hop of an Akamai server.

They've shrunk the internet using pure mathematics.

And there's more... Image
Every time you make an internet request, you hit three types of servers:

• DNS servers analyze your location in real-time
• Edge servers store cached copies near you
• Origin servers hold the master files thousands of miles away

But here's where it gets interesting... Image
When you stream a video in NYC from a server in London, the NYC edge server fetches it once from London, caches it locally, then serves millions of requests from that local copy.

So the data travels 50 miles instead of 3,000 miles.

But then one question arises... Image
Isn't managing 365,000 servers a chaos?

To solve this, Akamai uses load balancing algorithms that monitor server health and internet conditions every MILLISECOND.

So the traffic automatically reroutes around congestion.

It's like a GPS that updates in real-time.
Look at some numbers about Akamai:

• Processes 946 terabytes of attack data daily
• Blocked 311 billion web attacks in 2024
• Stopped 7 trillion DDoS attacks
• And 150 billion API attacks

More the attacks, more Akamai can learn to differentiate human behavior from bots. Image
But power this concentrated has a dark side.

The FBI and NSA used Akamai's infrastructure to surveil Facebook users.

They terminated Al Jazeera's contract during the Iraq War under "political pressure." Image
Akamai's client list reveals the true scope of control:

All top 10 streaming services rely on them.

Every major bank processes transactions through their network.

All 6 US military branches depend on their security.

14 federal agencies trust them with classified communication Image
This creates an unsettling reality.

If hackers targeted Akamai's algorithm instead of individual websites, they could simultaneously cripple global banking, military communications, and entertainment.

What do you think?

Let's talk in the comments. Image
Thanks for making it to the end!

I'm Alex, co-founder at ColdIQ. Built a $6M ARR business in under 2 years. We're a remote team across 10 countries, helping 400+ businesses.

Here's how I make $450k+ every month with AI:
tinyurl.com/5n79rd5w
RT the first tweet if you found this thread valuable.

Follow me @itsalexvacca for more threads on outbound and GTM strategy, AI-powered sales systems, and how to build profitable businesses that don't depend on you.

I share what worked (and what didn't) in real time.

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More from @itsalexvacca

Sep 4
We can now read AI's personality like a brain scan - and change it with basic arithmetic.

Anthropic proved traits like evil and hallucination are just mathematical patterns in neural networks. You can literally add or subtract it.

Here's how you do it🧵 Image
When an AI lies, specific neurons fire in a pattern. Same when it's helpful or deceptive.

Like finding what makes someone angry by comparing their brain when calm vs furious.

Take the difference between "lying AI" and "honest AI" brain patterns. That's the lying vector. Image
These patterns light up before the AI responds so we can predict behavior before it happens.

To find any trait, just describe it in plain English. The system finds the neural pattern automatically.

But why do AIs develop deception at all? Image
Read 16 tweets
Aug 29
Masayoshi Son had lost $59B in 24 months.

The worst venture capital failure in history. Softbank's fund became a laughingstock.

He had broken down: "I'm 65 and haven't done anything."

3 years later, Softbank is up by 189% and betting $500B on building ASI.

A thread🧵
So get this.

Vision Fund losses:
2022: $27.4 billion destroyed
2023: $32 billion destroyed

$59B gone in 24 months. For context, that's more than the GDP of Slovenia. The largest venture capital failure ever.

And one investment was the main culprit. Image
WeWork alone destroyed $16 billion.

Son pumped money into Adam Neumann's company at a $47 billion valuation. Called it a "revolution."

November 2023: Bankruptcy.
SoftBank's damage: $11.5 billion equity losses plus debt.
Son: "I am embarrassed and ashamed." Image
Read 22 tweets
Aug 25
ChatGPT, Gemini, and Claude don't train on data owned by Big Tech.

They train on 250 billion web pages scraped by a nonprofit nobody knows exists.

It's free. It's fragile. And it's about to break.

How it fuels AI (and what happens if it stops)🧵
First, the scale:

- 9.5 petabytes of web data since 2008
- 3-5 billion new pages every month
- 64% of all large language models use it.

Without this non-profit, ChatGPT wouldn't exist.
The founder previously built Google's money printer. Image
The founder is Gil Elbaz, who created Google AdSense. After seeing Google's data monopoly, he started Common Crawl in 2007 to prevent any company from achieving "a monopoly of innovation."

Takes $0 salary. Even got Peter Norvig, Google's ex-research head, as advisor. Image
Read 15 tweets
Aug 20
Meta, Google, and Microsoft all use encryption built by the same 50-person nonprofit.

Zero revenue from 2 billion users. The founder uses a fake name. And when the FBI subpoenaed them, they only provided 2 pieces of data.

Here's how a non-profit secures the internet🧵
In 2013, a tiny nonprofit had just 3 developers building encrypted messaging that no government could crack.

Their leader went by "Moxie Marlinspike" - not his real name.

WhatsApp founders were tracking their journey. Image
2014: WhatsApp sells to Facebook for $19 billion.

But the founders, Brian Acton and Jan Koum, are privacy hardliners. They partnered with Moxie's 3-person nonprofit to integrate military-grade encryption.

Facebook had no idea what was coming... Image
Read 17 tweets
Aug 18
Everyone laughed at Nadella’s “crazy” $26B LinkedIn purchase.

Now it drives more SaaS revenue than some entire Fortune 500 firms.

$200B+ in value from one move.

Here’s how Satya Nadella quietly made Microsoft’s smartest acquisition ever: 🧵 Image
2014: Satya Nadella became Microsoft’s 3rd CEO.

The company was worth $300B
Windows sales were flat
Cloud growth was slow

He needed a bold bet to pull Microsoft out of its comfort zone.

And it would come from the last place people expected… Image
Nadella’s vision: make Microsoft the “connective tissue” for every worker on the planet.

That meant owning both the tools and the audience.

He had ONE platform in mind...

A platform most analysts didn’t think was worth touching.
Read 17 tweets
Aug 14
In 1936, an airplane engineer discovered a formula that would predict 99.6% collapse in solar panel prices.

It's the same formula that explains why EVs will be 50% cheaper than gas cars by 2030, and why AI training costs are dropping 65% a year.

Here's how it works🧵 Image
Theodore Wright was studying airplane manufacturing in 1936 when he noticed a pattern.

Every time total production doubled, labor costs dropped by 10-15%.
Not sometimes. Every single time.

He had no idea he'd just discovered the formula that would predict every tech cost curve for the next century.Image
The formula: When cumulative production doubles, costs drop by a fixed percentage.

Solar panels: 20% drop per doubling
Lithium batteries: 19% drop per doubling
AI training hardware: 37% drop per doubling

But nobody believed this could hold for 40+ years straight. Until...
Read 19 tweets

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