Mixing digital marketing, design thinking, and entrepreneurship. 

Building STOICA.CO, a B2B marketing agency part of BBN International. We help companies develop their online presence as an asset to generate revenue and growth for their business. We help our clients clarify their marketing strategy, create a clear plan, and execute to get results fast. 

I tried a few projects over time, bootstraped, raised money, and mostly learned a lot: an advertising agency, a graduation albums business, a photo studio, a software as a service platform, a web3 products studio, and a few communities. 

Do you think I can help? 

Schedule a call here: https://stoica.co/andrei

Andrei Stoica

Money shapes many of our decisions. 

The good news? 6 out of 10 people are optimistic about their financial situation in 2026. This optimism shows that despite uncertainty, many still believe they can build, create, and grow.

For us at STOICA.CO, financial clarity is not just about numbers in a spreadsheet. It is about having the freedom to make better decisions for our team, our clients, and the communities we serve.

Great insights from last week during RevReview by Revolut Business.

Photo credits, Cristian Andrei. 🙌

CEO, STOICA.CO — B2B marketing for growth

Companies that choose to be great instead of big. 

I joined Small Giants Community for a Summit 3 years ago, and the whole thing felt so right. People were all great human beings building healthy companies for themselves, their colleagues, and their clients. 

Join a community. Find your tribe!

CEO Small Giants Community | Host Growing with Purpose Podcast | Speaker | Author Finding Freedom (due April 2026) | Connecting and Developing Purpose-Driven Business Leaders

Since stepping into my current position at the Small Giants Community, one of my goals has been to expand the reach of this organization that has done so much for me. 

I know there are more Small Giants leaders and companies out there. 
They just might not know about us yet, or have the vocabulary to define what makes them great.

Sometimes, the best way to reach people is getting back to basics. 

And within the Small Giants Community, the best way to do that is turning to the book that started it all: 
"Small Giants: Companies That Choose to be Great Instead of Big" by Bo Burlingham.

🐟 If these principles resonate with you, or you know of others who may identify with this list, please share this post. Let's inspire more businesses to continue to be great, no matter their size.

How to be a SG book principles carousel graphic

Here's a must-attend for B2B software companies. 

Pricing can make the difference between a struggling company and a highly profitable one. Improving your pricing structure might be THE most crucial decision you make for next year. 

Emanuel is THE pricing expert. 

Book your slot for the free webinar!

Airlines started using algorithms for dynamic pricing in the 1980s.

Travel booking platforms and other players in the travel industry followed. 
Now dynamic pricing is standard practice for hotel reservations, train and bus tickets, car rentals and most services in the travel industry.

Amazon is known to have been using dynamic pricing since at least the year 2000, when it applied algorithms to set the prices of DVDs.
Many e-commerce websites currently use one form or another of dynamic pricing.

Retail companies are using dynamic pricing - whenever you see electronic price tags in a shop or a supermarket, there is a very high chance that prices change pretty often.

Google Ads rates are set using dynamic pricing algorithms.

Uber introduced surge pricing in 2014 and most ride sharing platforms use variations of this.

Tickets for sporting events and concerts are priced using dynamic pricing.

Disneyland introduced dynamic pricing in 2016.

B2B software companies are tragically lagging behind.

If you don’t know why you need to implement dynamic pricing

Join us for a FREE live webinar, on Wednesday, December 3rd, at 12:00pm CET, on Zoom.

Andrei Rosca, Andra Gradinaru and 27 other attendees

View event: Beyond fixed rate cards: how IT leaders adopt dynamic pricing

Beyond fixed rate cards: how IT leaders adopt dynamic pricing

Anas Duksi

Electrical Engineering Intern

As an electronics engineer, I got hooked on systems, logic circuits, models, things that click and scale. I was fascinated by how systems work when they do! 
As a visionary, being able to imagine and understand systems, that obsession stuck..

Now I build AI agents and automations that plug into GTM and Revops

Been deep in SaaS GTM for years - outbound, enterprise deals, RevOps rebuilds, onboarding experiments. I’ve seen where things break. I build the systems that don’t.

Focus now:
→ AI agents as GTM operators
→ Infra that sells and scales without headcount
→ Blending engineering logic with sales instincts

Highlights:
– $200K ARR in <3 months at CozmoX (YC-backed)
– 438% MRR growth at UserGuiding, drove 57%+ new revenue
– Outbound engine + reseller motion at Shiny, >5% CVR
– Rebuilt RevOps at AstroLabs, hit 100%+ quota
– +30% retention, +17% activation at Cura from onboarding flows

What am I passionate about? building clean systems and watching agents in runtime actually doing the work..

Head of Business Development

I’m happy to share that I’m starting a new position as Senior AI Agents Forward Deployed Engineer at Beam AI!

Building AI agents & automations l Beam AI l Kusp AI

The main rules of SaaS still apply to AI agents businesses.. well, mostly..

CLING to the client's problem. That never changes.

But here's what I keep seeing: everyone can build an n8n or LangFlow or whatever automation now. Or Claude Code and Replit for shipping fast.. Prompt chains, agent loops, tool calling - it's all a weekend project. 
The build is commoditized.

So where does value come from?
Not from what you can build anymore. It comes from how long you've been in the trenches with a specific problem, and for whom exactly. 

The edge cases you've already hit. The guardrails you learned the hard way. The deployment speed you've earned through repetition.

AI agents actually open up more room for verticalization than traditional SaaS ever did. 

You're not just automating a workflow - you're encoding JUDGMENT. 
Domain expertise. The stuff that used to live only in people's heads.
That's a deeper wedge. 
And it's harder to copy..

But here's the uncomfortable part: finding that niche - the one that generates real, sustainable ROI - is genuinely harder than SaaS. 

The trust threshold is higher. Clients aren't just buying software. They're betting you won't automate them into a compliance disaster.

Once you earn that trust though? You start layering. SaaS features on top of your agentic core. That's how you expand.

The playbook for 2026 feels clear to me: unless you're already playing infrastructure with serious resources, your leverage is the wedge. 
One use case. Painfully specific. Relentlessly deep..

The generalists will demo well..
The specialists will get paid..

#aiagents #agentic #ai #saas

I believe we're not competing on better processes anymore. We're competing on better context. That's the actual game..

Last decade was about data integration. The edgs was with cleaner pipelines, unified stacks, faster decisions xx. That changed..
We are now playing the context integration game. 

Building a company brain that everyone can talk to. 
Your sales team asks it questions. Your engineers query it for decisions. 

It's the collective narrative- the ideation partner that actually knows your history.

The infrastructure's forming to achieve that but still immature. 
We have now some scattered components, MCPs, RAG which is getting sharper and models scaling context windows.

Nevertheless, the reality is still not as glamorous..

MCP is expensive. It standardizes cross-tool context, but integrating MCP context expands input tokens by 236× on average.
In fact, tool descriptions alone consume massive context window space, and with thousands of tools connected, agents process hundreds of thousands of tokens before even reading a request.

As for LLMs, the bandwidth is costly- 1MB of output costs around $1 per request, and you're billed in every follow-up message that includes that tool result..

At scale, I've seen this get prohibitive fast..
RAG is still fighting fundamentals. Precision and recall aren't solved- chunks misalign, relevant info gets missed, data goes stale..

But I think the vision is right..
This is about creating a fresher brain you can revoke later..

How do we speak better in meetings? 
Think more structurally? 
Document so context doesn't die in Slack? 

I believe the companies that answer this- that build the memory layer right- get an asymmetric edge..

It's not there yet. The tooling is immature. But the shift is real: 
from "do we have the data?"
to 
"can we surface the right context when it matters?"

My advise to anyone building:

Don't wait for perfect tooling. Start documenting with retrieval in mind- structured notes, tagged decisions, searchable context. 
And budget for tokens like you budget for compute..
The companies that treat context as infrastructure, not a feature, will be impossible to catch in 3 years.. 

#ai #aiagents #llms #ml #b2b

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