EKOS LABS

We build custom GTM engines and products for Tech companies and founders to scale.

[EKOS LABS @ekoslabs]

This should not be for free tbh

[Eshaan Kansal @eshaankansal]

Marketing is not virality.

I was building a GTM engine for a company that looking to work with companies doing over $100M in revenue and with 200+ employees.

We did two things inbound and outbound.

This is the process I followed, this is not the whole thing. Here’s whats missing the backend database the omichannel outreach and the sequences we build over it.

Let me know what you think. Dm me if you want to do the same.

[EKOS LABS @ekoslabs]

@eshaankansal We have worked with startups and enterprises already, we do custom GTM builds here at https://t.co/9pieIB1AcW
Also you can get a free GTM audit today at https://t.co/JcNZkSZ2oB

[EKOS LABS @ekoslabs]

Meet our founder

[Eshaan Kansal @eshaankansal]

Hi I’m Eshaan. This is what I am building at 22. Let’s connect.

[EKOS LABS @ekoslabs]

@eshaankansal Find your customers on https://t.co/JcNZkSYuz3

[EKOS LABS @ekoslabs]

What a banger website https://t.co/JcNZkSYuz3

[Eshaan Kansal @eshaankansal]

I am definitely cooking with opus 5.5.

[EKOS LABS @ekoslabs]

You do the building, and we find the customers.

[Eshaan Kansal @eshaankansal]

I am literally scared. Claude one shot this whole video.

[EKOS LABS @ekoslabs]

Always shipping at ekos, try out for free today.

[Eshaan Kansal @eshaankansal]

Built finder for ekoslabs, with jev and other AI models and our data, it goes through websites, builds a GTM report for you and also simulates how other people in your ICP would think about it.

Enter your website and answer some questions.

Free report - https://t.co/UQMYsjXefm

[EKOS LABS @ekoslabs]

This guy knows something people don’t

[Eshaan Kansal @eshaankansal]

GTM is not just for tech companies.

It is a loop which is made of three parts and if you are able to learn these three steps you can scale an app, b2b startup, a service or any boring business which you might be running.

The principles stay the same for everyone - KYC —> FYC —> GYC

We can understand this by three terms which we repeat again and again.

1. KYC - Know your customer
You need to understand who your customer is, and you need to do it before the business starts, before a feature is shipped, before a service is started, before anything.

This exactly tells you what your customer is doing, who they are, where they are and what they do, what their thought process is and what are their personality traits, age, gender everything is part of it.

If you know your customer you can do different website changes, you can make changes to offer, pricing, everything starts here.

Tip: Understand their buying signal and what they need and play on that.

2. FYC - Find your customer
You should know where your customer lives and how they spend their time there.

If you are running a b2b services or startup and you know your customer lives on linkedin, focus on linkedin. Outbound, inbound, content, dms, connections, articles, ads, saled navigator are all part of mechanism you can run on LinkedIn, but if you do the same for consumer app you fail because the customer is on instagram or tiktok.

The ability to understand where the customer lives and what they do on that platform is the most important concept here.

Tap into the algorithm, understand and see what channel they are on, don’t think about X or Instagram or linkedin, there are several channels out there.

3. GYC - Grow your customer (very important)
This is exactly what you do with the mechanims on the channel.

Once you have understood what is the customer doing and on what channel they are, you are very close.

Everything you do now is on that channel and you just have to improve it.

This is the loop, you get views om the content but will the views convert to website, will they scroll it, will they read it, will they act on it and buy it?

If you can get them to do all of these steps again again you have mastered the loop.

It can be done for an app, for a agency, for a boring business.

This is what changes - the channel where it happens, how it happens, how long does it take to happen and what happens when it has happened.

[Eshaan Kansal @eshaankansal]

https://t.co/uVEC8PzT3L

[EKOS LABS @ekoslabs]

If patrick jane wrote about GTM it would be this

[Eshaan Kansal @eshaankansal]

https://t.co/uVEC8PzT3L

[EKOS LABS @ekoslabs]

Some sauce right there.

[Eshaan Kansal @eshaankansal]

GTM is not virality.

Right now, I am building a GTM engine for a company that only wants to work with businesses doing €100M+ in revenue and with 200+ employees.

This is how it worked out.

They did not ask for founder-led content.
They did not ask for a launch campaign.
They did not ask for reels.

They needed a system to identify the right enterprise accounts, understand what is happening inside them, and earn the attention of the people who can actually make decisions.
So this is where we started.

First, we built a verified company database across Germany.

Then we added hard filters and gates to remove anything outside the ICP.
We do not treat every company inside the ICP as equal.
We score them in five tiers.

A to D are still potential fits, ranked from strongest to weakest.
E is outside the market and does not get worked.

Then we research the accounts.
What has changed in the last 3 to 9 months?
What are they building, hiring for, changing, or struggling with?
What agencies, tools, and systems are already in the picture?
After that, we map the buying committee.
Not just job titles.
We look for the people who can sponsor, champion, influence, block, or ultimately approve a decision.
Then we verify the data, enrich the right contacts, and build a hypothesis:
Why this company?
Why this person?
Why now?

Only then is outreach worth doing.
This is the part people skip when they talk about GTM.

They jump straight to content, cold emails, or a launch.

But none of that matters if you are speaking to the wrong company, the wrong person, at the wrong time.

The full GTM loop starts before the first message and continues after it.
Research creates the hypothesis.
Outreach tests it.

Conversations show what is real.
Pipeline and revenue show what actually works.

That feedback improves the ICP, scoring, research, and messaging for the next cycle.

The first version of this system took months to build for a 20-year-old legacy media company.

Now, with AI increasing the research throughput and a human reviewing the actual judgment calls, we can identify 20 to 30 relevant decision-makers a day.

Not random contacts.
People inside a tiered market, connected to a real company context, with a reason a conversation could matter now.

Tip of the iceberg for a gtm engine.

[EKOS LABS @ekoslabs]

Our founder wants to give 10 free audits + strategies.

[Eshaan Kansal @eshaankansal]

We are live.

[EKOS LABS @ekoslabs]

Things are about to change.

[Eshaan Kansal @eshaankansal]

building a new wave.