Proud to serve customers like T-Mobile, Volvo, Cornell University, Sanofi,... 🙏

We are on a mission to enable organizations around the world to truly connect with people.
We're doing this by building the Marketing Optimization Platform (MOP), the mission control center that turnkey integrates into your marketing automation platform and optimizes your marketing.
Specifically, we enable Salesforce Marketing Cloud users to optimize send frequency, segment and search.

Over $7 million raised in funding (Adjacent VC as lead investor).

Nominated CEO of the year 2024 finalist by Pavilion.

We love 🐧s!

Anthony Lamot

Co-Founder at Expnd | Building go-to-market teams & systems for tech startups | Certified Clay partner

We build and ship GTM systems for SaaS companies - no slide decks, no fluff, just real infrastructure that moves pipeline and unlocks revenue.

Our work isn’t consulting or campaigns. We set up the automation, AI signals, data flows, and live reporting your team actually needs to scale. If you’re seed to Series B and want to get out of spreadsheet hell and manual lead routing, that’s what we fix.

We’ve worked inside sales teams, taught ourselves to code, and now engineer operating systems for SaaS founders who care about measurable results, not just good ideas.

If you want a team that ships, not one that talks - let’s chat.

Laurens Nys 🔵

2024: Started GTM Engineering with Clay as the main tool 
2025: Switched to n8n from late 2024, all production system made on a combo of it and a PostgreSQL database
2026? 

During 2025, I would have assumed n8n would be the one that just stuck. 

Didn't have any changes planned for a long time. 

But...

It's 2026, and I'm not spending most of my time in n8n anymore...

It's;
- Claude Code (to build/ do one-off tasks)
- Claude Agent SDK (for agentic workflows)
- Prefect (for data flows/ orchestration layer for agents)
- Postgres (on Neon as the data layer)

The speed at which this is evolving is crazy... 

I went from building lists & automations in 2023/24, to now building out whole data layers and context systems with agentic flows. 

Very curious to see what 2026 will bring. 

PS. Will be posting more in the coming weeks - also sharing more details on how we're using Claude code and the agent sdk.

Laurens Nys

Founder @ GTM Sigma │ GTM Engineering for B2B SaaS

5 ways to get more out of Claude Code;
(For GTM)

1. Keep a look at your context window; the more tokens in your current window, the higher the chances of hallucination and just bad output.
> use /clear often (this clears your current session) 
> Set up your statusline (the data you see under my text input field) by calling /statusline and ask it to show you the current context tokens
> Use sub-agents for complex work; they have their individual context windows so they don't bloat the main one

2. Don't vibe everything. Verify your outputs. (The model is good, but it's not perfect)

3. Spend time writing and thinking through your CLAUDE . md file. It'll be loaded in with every conversation. This file will have a huge impact on how 'agi' your Claude Code feels

4. Use MCP servers (most tools now offer one), making it so your CC can actually go out and do stuff in tools (pull data, write...) 

5. If you're doing the same thing twice/ often, make it into a skill/ file it can reference later (if it's a file > go to 3 and update your CLAUDE . md file). 

Probably a bunch I missed still, but hope these ones help already!

PS. Considering a longer video/ course on this in the near future - let me know if that would be helpful (Claude Code for GTM)

Claude Cowork just launched. 

My 2 cents from playing around with it:

Essentially, it's a UI wrapper for Claude Code (if you ask it what it is, it even says it's Claude Code).

And I've been using Claude Code a lot the past few weeks (like, a lot)

What I love about it:
- Keeps context across your entire codebase (cowork seems to be task-based for now)
- Can run commands, edit files, and test things itself
- Feels less like prompting and more like pair programming
- And it just keeps getting better. The iteration speed is crazy.

So if Cowork follows that same trajectory, I think it's gonna get huge.

TL;DR
Basically, Claude Code for non-coders.

PS. Research preview for now, so curious to see how it evolves.
PPS. Unlike Claude code connected to github, it doesn't seem to keep track of edits/ what it deletes, so with cleaning your desktop as a usecase... don't delete files too fast

2 things I love; 
1. Engineering cool GTM automations/ systems
2. Talking about them 

So we're joining GTM Engineer School Cohort 3 as an instructor to teach/ talk about how to use n8n as a GTM Engineer. 

We'll be going through the basics of n8n, how to think about GTM engineering, building automations, using AI, API calls... and more. 

It's starting February 16th (seats are limited) - be there or be square. 

PS. I'll be holding nothing back in terms of AI/ n8n/ automation - I'm an open book, so will be a great place to talk GTM/ ask me any questions you have as well.

Anthropic's Agent SDK is crushing it right now.

Been using them recently, and their architecture is so interesting.

Here's the tldr;

So most agents rely on tools.

You have your model/agent, and you give it a bunch of tools to do stuff.

Eg. a tool to fetch a website, read something, get data from your CRM etc.

The problem with that is that you'll end up just adding and adding tools.

aka not very sustainable.

Claude's Agent SDK is optimizing for an environment.

The agent lives inside a file system.

It has access a terminal, text editor, file navigation... 

So instead of building 50 specific tools for data analysis, you give the agent a computer and let it write its own scripts.

eg If it needs to parse a messy CSV? It doesn't ask for a "CSV Tool." It writes a Python script, pipes it to grep, and saves the result to a file.

This is starting to really feel agentic IMO. 

Very curious to see how this evolves. Also very curious how tools like n8n might start incorporating this.

taplio

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Anthony Lamot

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