Stelios retweeted
The CEO of Goldman Sachs is taking the other side on the pessimistic takes on AI and jobs.
If you looked at what work looked like a few decades ago and saw how much faster everything is or easier it is to produce the same thing as before - even before AI - you’d certainly have been convinced there’d be no jobs left.
What happens is we constantly just demand more from everything. Instead of automating a task and delivering the same value proposition, but cheaper, we just expect more from the overall product or service. Because some players in the market decides to do more with the automation, and it raises everyone’s expectations. So those that don’t respond can’t compete.
We get more financial analysis from analysts. We get much more comprehensive legal advice. We get more tailored financial services offerings. We get better software in niches we never thought we could automate. Our healthcare providers offer more tests and deeper medical advice. This just goes on and on.
When you move from believing the world is static and you’ll have a better view of how jobs evolve due to AI.
Stelios retweeted
Anthropic has announced that it is massively expanding its London presence.
It’s just secured a new office for 800 people - a huge jump from its 200 current employees.
OpenAI announced its first permanent office in London this week and now @AnthropicAI is doubling down.
Meta, OpenAI, DeepMind, wayve and so many others have huge offices in London.
It’s becoming the leading AI hub outside of the US.
LETS GO
Stelios retweeted
Our 2026 playbook has been our most downloaded resource this year.
We've updated it with new chapters added - including a full breakdown of Meta's algorithm update published 31 March 2026, the rise of personas, partnership ads, AI UGC and how the next wave of ugc is developing.
The same frameworks behind £600M+ in revenue across the DTC brands we work with. Four pillars: Meta, TikTok, AI, and Creative.
Platform mechanics. Account structures. AI workflows. The creative formats actually driving incremental growth right now.
Retweet this post and comment "2026" and I'll send it over.
Stelios retweeted
Meta Ad spy tools show you who is running ads.
GoMarble shows you why they work.
Creative Research just launched.
One prompt →
• Pull competitor ads
• Break down hooks, angles, offers, pacing
• Spot repeatable patterns
• Compare them to your actual ad account performance
No more scrolling the Ad Library.
No more guessing what to test next.
This is competitor research + account intelligence in one place.
By the way, they just launched this TODAY! 🤯
Also, GoMarble built Competitor Intel report. Enter your website and GoMarble instantly shows competitors’ ads, their best hooks, winning angles, and a gap analysis against your own ads.
Repost + comment “GoMarble” and I’ll DM you the link.
P.S. Repost for priority access.
#GoMarblePartner
Stelios retweeted
Anthropic have just buried OpenAI and ChatGPT with this ad lmfao
There’s no coming back from that
This might be an unpopular opinion but tried to build a tool that I need on @boltdotnew and it started very well but it got stuck with an endless loop wasting tokens. Moved to @Replit agent and it worked just fine with the tool working with no issues. I feel I wasted hours and tokens. Anyone else experienced the same issue?
Has anyone built a mobile app with Bolt Expo and would be open to sharing their creation? Curious to see real-world examples and how the platform performs.
τωρα και στο google.gr
Stelios retweeted
Από το Ηρακλής- ΠΑΟΚ στην Μίκρα. #LiveNow – at Central Macedonia, Greece
1/11
When it comes to measuring your website’s performance, two essential tools come up: Google Analytics (GA) and Google Search Console (GSC). Both are must-haves for digital marketers—but they work in fundamentally different ways. Let’s dive in… 👇
9/11 – Handling Bot Traffic
🔹 GA: Has built-in filters to weed out known bots and spiders, ensuring your metrics reflect genuine human interactions.
🔹 GSC: Doesn’t always filter bot traffic as rigorously, which might lead to occasional discrepancies in the data.

















