Hamiz Awan, Co-founder & Managing Partner

AI has made it much easier to create content, find leads, write messages, and reach people. That has created a lot more noise. Everyone can send more emails. Everyone can make more ads. Everyone can produce more content. So volume is becoming less valuable. Precision and cohesion are becoming more valuable.

Cloud companies, and AI companies in particular, are scaling faster than ever
It took the average 2025 Cloud 100 company 7.5 years to reach $100 million ARR; companies in the AI category have scaled even faster, averaging 5.7 years (a full year faster vs. 2024)
AVERAGE YEARS TO CENTAUR
STATUS ($100 MILLION ARR)
AI Total
First year the ‘AI’ category
was introduced
10.2
9.4
8.9
8.8
8.6
8.5
8.1
8.1
7.3
7.7
6.7
7.5
5.7
2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Note: Calculated based on the year each company was founded to the year the company crossed $100M ARR

We are seeing a new kind of company emerge. And they are obsessed with creating a science for growth.

Some are going from almost no revenue to tens of millions of dollars in annual recurring revenue in a year.

A few are reaching $100 million faster than companies ever have before.

Great products matter. Timing matters. Capital matters.

But something else has changed.

Growth itself is becoming an engineering problem.

The companies doing this well are building growth in three layers.

1. Start with the channels that already work

The first layer is not new.

Companies still grow through the same basic channels they always have:

  • Referrals and relationships

  • Outbound sales

  • Advertising

  • Search

  • Social media

  • Events and content

There is nothing wrong with these channels. The problem is that most companies run them separately.

Marketing runs ads. Sales sends emails. Leadership works its network. Someone else manages events.

The customer sees pieces. The company does too.

2. Engineer who you go after

This is where go-to-market engineering changes the game.

Instead of asking, “How do we reach more people?” the better question is:

“Who are the few people we should care about most right now?”

A good system can bring together many small clues.

Maybe a company just hired a new executive. Maybe it raised money, opened a new market, visited your website, started searching for a solution, changed software, or began hiring around a problem you solve.

Each clue on its own may not mean much.

Together, they can tell you something important:

This customer may be ready.

That allows the company to score accounts, decide who deserves attention, and change the message based on what is actually happening.

The goal is not to automate more outreach.

The goal is to waste less attention.

3. Surround the right customer

Once you know who matters, the next step is what we call surround sound marketing.

This is where precision turns into presence.

If a customer is high intent and a strong fit, you do not want them to see you once.

You want to show up around them.

They may see your research on LinkedIn, hear from someone on your sales team, get introduced through a mutual relationship, see an ad, attend an event, find you in search, or hear your name from someone they trust.

Not randomly. Not everywhere.

Around the right customer, at the right time.

The effect is to flood the zone around a small number of accounts that matter most.

That is very different from spraying the market with more messages.

It is concentrated attention.

A simple way to think about it is:

Traditional marketing gives you channels.

GTM engineering tells you where to aim them.

Surround sound makes sure the right customer keeps running into you.

That is the system.

And then it learns.

Which signals predicted a sale? Which channel got the first response? Which content helped? Which relationships mattered? Which accounts looked promising but never bought?

Those answers go back into the system.

Over time, the company gets better at deciding:

  • Who to pursue

  • When to pursue them

  • What to say

  • Where to show up

  • How much attention to spend

That is why this gets interesting.

The old growth model was often built around doing more.

More leads. More emails. More ads. More salespeople.

The new model is about being more selective.

Find the right customer. Recognize the right moment. Then surround them.

AI has made it easier to flood the world with noise.

It has also made it possible to do the opposite: focus far more effort on a far smaller group of customers with much higher odds of buying.

That is the opportunity.

Not more marketing. Better targeting, more coordinated presence, and a system that gets smarter every time it runs.

That is what we mean by Engineering Growth.

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