GTM Insights
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Founders often think they have a sales activity problem. - They don’t.
Everyone is trying to use AI to create more outbound conversations.
AI workflows in practice
AI sales automation is exploding. - GTM strategy is becoming the bottleneck.
Without sound GTM strategy, these systems do not scale growth. They scale noise.
80% of my job can be done by AI - but I get paid for the 20% it can’t do.
If Claude and I showed up to a job interview and were compared by our skills, I would hopelessly lose out.
Hiring sales team on commission alone sounds like a great deal for a founder. - But is it?
A higher commission increases the reward for a sale. It does nothing to fix the conditions that prevent one.
Most teams now ask AI to write every outbound email.
Most companies use AI to generate more messages. I would rather use it to make fewer, better decisions.
Few founders wake up wanting to hire a GTM strategist.
At this point, creating more things is no longer progress by default. The challenge becomes aligning the things you have already created.
Your first sales conversation isn't a conversation.
Before a serious buyer ever speaks to you, they've already read you: your homepage, your pricing page, your press.
Your market is not the tree.
TAM creates appetite. An honest SOM creates credibility. And credibility is what gets tested in the next funding round.
Exploring the market is not the same as building a scalable GTM.
Market testing needs variety. But scalable GTM needs constraints. You cannot build repeatability while treating every customer as a new category.
I love seeing those AI sales engine stack diagrams.
The best AI sales engine is not the most sophisticated one. It is the one where every AI layer earns its place.
AI is about to expose every weak GTM system in SaaS.
The breakthrough was finally having a precise GTM thesis that prospects can automatically be evaluated against.