A good LinkedIn feed is one of the cheapest ways to keep up with AI-driven go-to-market. The creators below are the ones we learn from most. They are operators sharing what they see on the front line, grouped into seven categories so you can fill the gaps in your own feed.
Most people build their feed by accident. They follow a few colleagues, accept a few requests and let the algorithm fill in the rest. The result is a feed that reflects whatever got engagement last week, not what would make them better at their job. If your feed is mostly noise, it is hard to notice the ideas that would change how you run outbound. A dry feed and a dry pipeline often have the same cause: nobody chose the inputs on purpose.
This list is not a ranking and not a sponsored placement. It is the set of profiles Nil shared as the ones our team personally learns from. We have kept the same seven categories. For transparency, Arrel's three co-founders appear under GTM engineering, because Nil included them in the original post.
The list, by category
AI
The latest in the field and how to actually use the tech.
- Charlie Hills
- Ruben Hassid
- Manthan Patel
- Hugo Mercier
Build in public
Raw insights from running a company.
- Adam Robinson
- Marty Kausas
Content
How to create content that attracts your ICP.
- Chris Donnelly
- Lara Acosta
- Noam Nisand
- Millie Hanson
GTM engineering
Where GTM gets rebuilt with code, data and AI.
- Jan Rasmussen
- Nick de la Guardia
- Nil Rasmussen
GTM
The playbooks, pricing and growth motions behind modern B2B.
- Bruno Estrella
- Kyle Poyar
- Maja Voje
- Julien Lieben
- Nathan Merzvinskis
- Michel Lieben
Sales
The craft of selling and winning deals.
- Gal Aga
- Brian LaManna
- Christian Krause
Marketing
Positioning, demand generation and marketing fundamentals.
- Pierre Herubel
- Anthony Pierri
- Emily Kramer
Why the categories matter more than the names
AI GTM sits across several disciplines. If you only follow AI creators, you learn about new models and tools but not about who to sell to. If you only follow sales creators, you learn the craft of a conversation but miss how the pipeline in front of it is being rebuilt. The seven categories cover the full chain: the technology, the systems built on it, the strategy that decides where to point them, and the selling and marketing that turn them into revenue.
A practical test: look at the last twenty posts in your feed and sort them into these categories. Whatever category is empty is probably the one where your thinking has gone stale. Follow two or three people there before adding more to a category you already cover well.
How to learn from creators without copying them
Following the right people is the easy part. The harder part is using what they share without turning your own outreach and content into a copy of theirs. Here is how we approach it.
Take the mechanism, not the words
When a post describes a play that worked, ask what made it work. Was it the signal that triggered it, the audience it went to, the offer, or the timing? The mechanism can transfer to your market. The exact wording usually cannot, because your buyers, your product and your proof are different. Copy lifted from a viral post also tends to reach your prospects after they have already seen it elsewhere.
Test ideas against your own ICP
A playbook that works for a creator selling to founders may fail with procurement teams at industrial companies. Before running a new idea, check it against your ICP definition. If it would not change who you contact or what you say to them, it is interesting reading, not a play.
Run small experiments and keep the results
Pick one idea a month, run it as a small, clearly labelled campaign and record what happened. Over time you build your own evidence instead of relying on someone else's. Store the result, the hypothesis and the copy in one place, such as a shared GTM brain, so the lesson survives beyond the person who ran the test.
Separate claims from methods
Creators often share outcomes without the context behind them: the list size, the market, the offer, how long it took. Treat numbers in posts as marketing, not benchmarks. The useful part is the method, which you can measure yourself with proper outbound attribution.
Write in your own voice
If you publish too, the goal is to sound like someone who has done the work, not like the creators you read. Describe what you tried, what you saw and what you would change. That is harder to copy and more useful to your buyers than another list of tips.
Where to go next
If the GTM engineering category is new to you, start with what a GTM engineer does and how that work shows up in practice in Claude Code for outbound. For a wider view of the tools this community tends to discuss, see our map of European sales tech.
Conclusion
Your feed is an input to your pipeline, whether you plan it or not. Choose a small set of operators across the seven categories, learn the mechanisms behind what they share, and test those ideas on your own market before adopting them. If you want help turning ideas like these into a working outbound system, book a GTM Engine Review.
Frequently asked
Who did we miss?
Almost certainly someone. The list reflects the profiles we learn from, not every good creator in the space. We update our own feed often and expect this list to change over time.