Thomas Euler

@nntaleb Just thinking out loud but: if a discipline has a "micro" and a "macro" view but no "meso" that connects the two, it's arguably structurally flawed from the get-go.?

Economics takes a 4+ dimensional problem, models it for convenience as 3D (always missing the consequential dimensions), then analyses it as 2D while confusing the gullible public who interprets it as simple 1D.

Is pricing the best antidote against AI slop? Like, once token pricing is no longer heavily VC subsidized (feels like we are already headed there) and pricing goes📈, many use cases for slop content may no longer be profitable. Or at least that's the hope.

PSA: working on an analysis of the German-speaking enterprise AI market, incl. the startups, their products, positioning, and GTM motions. If you have any angles, insights, or thoughts to share, now would be the right time - and below here the right place 👇

A fortnight ago, I attended the AI Conference in Heidelberg. And I was better prepared than at any other event before. With about 1 hr of prep time. How I did it? I built a custom event CRM. Here's how I did it: croorgs.substack.com/p/conference-p…

I'm looking for a GTM leadership role, ideally at the intersection of product and market. Preferably, I'd like to help a great product-driven team that is focused on making AI useful for enterprise. Get in touch if you want to have a chat or learn more.

Scaling relevance. That is what AI-native GTM is all about. From product to outbound, from lead gen to CS, AI is a great tool to be more relevant to your customers. Many people talk about AI in terms of efficiency. To me, that's not where it unleashes its potential. That's where we get when we build and create things that are more useful, tailored, and specific to more people than what was practical before.

Are all those Linktree-esque "one pager with links to my stuff plus some feature chi-chi" services doomed? All the link-in-bio and personal landing page tools? Why sign up to a service if you can build and deploy your custom thing in roughly the time it takes to set up a new service? I just remembered about.me and they now apparently have talking 3D avatars. Ok, well, maybe that's a way to adapt?! But the basic use case? Giving away my (fictional) stocks for a good dinner 😅

I built a pretty cool GTM prospecting workflow with various agents in Langdock. Then, I built a simple CRM in Notion Getting the data into different databases there worked like a charm. However, I now had to transition and build the same CRM structure on Monday. I first tried with the Langdock <-> Monday connection. But that's super unreliable as the Monday API seems rather finicky. I wonder what to try next: 1. have the Langdock agents convert the research data into JSON and build a little skript that cleanly imports the data in Monday 2. Try a custom connection with the Monday MCP server first. Thoughts?

This piece now also lives on the CRO Orgs Substack: croorgs.substack.com/p/the-tech-sta…

The AI era is fundamentally changing how we build go-to-market engines. To document and analyze this shift, I am moving my English writing on GTM to a dedicated Substack: CRO Orgs. 🧵 Anyone driving revenue right now needs to rethink their approach. AI-native GTM is built differently. The key is not to layer new tools on old approaches. Rather, we need a structural redesign of our strategies, motions, and playbooks to account for the new reality. On CRO Orgs, I take a systemic view of go-to-market. We explore the exact intersection of GTM, technology, and org design - the holistic perspective required by any modern CRO, founder, or GTM leader. My perspective is shaped by building in the trenches - from running a digital transformation consultancy, to founding a SaaS startup, to now building AI-native GTM-as-a-service at A&G. If you want to follow along as I decode what it takes to build a modern revenue engine in the age of AI, check out CRO Orgs: croorgs.substack.com

If the product quality delta grows too large, no amount of "sovereignty" will save the deal. Ultimately, political PR fireworks don't determine success. Long-term product-market fit does.

The global AI market is moving at a historic speed. Can Cohere maintain the necessary velocity while serving a core audience that thinks in multi-year planning cycles? That bet relies on the idea that US giants won't meet specific enterprise needs. I'm skeptical.

The most striking thing about the Cohere and Aleph Alpha merger isn't the technology. It's the political applause. Governments are cheering for "digital sovereignty" - but that highlights the exact problem Aleph Alpha has been facing. 🧵 👇

Instead of hoping for accidental encounters, AEs are equipped with real intelligence and strategic context before they even enter the venue. I documented the exact step-by-step workflow in my latest CRO Orgs piece. Read it here: @thomase/conference-prep-on-steroids-bc10def11b77" target="_blank" rel="nofollow noopener">medium.com/@thomase/confe…

Why this matters: This is more than a personal productivity hack. It is a concrete blueprint for GTM Ops. If RevOps or GTM engineering standardizes this process, they stop leaving event success to chance.

We still send highly paid GTM teams to expensive industry conferences with the strategic instruction: "Do some networking and collect business cards." In an AI-native organization, this is an inefficient and outdated setup. Here is a better way. 🧵