90-Day Growth Cycles: Patterns of Founders Who Scale Faster

Sonya Trivedi brings a perspective shaped by nearly two decades in marketing and business development, with a focus on how B2B tech companies expand across markets and build sustained growth. Her work spans more than 100 projects across regions including the US, the Nordics, DACH, Southeast Asia, Australia, and Africa, giving her direct exposure to how go-to-market strategies need to adapt in different environments, and how much discipline sits behind making them work.

As the founder of a global marketing company and the builder of AIMAR, an AI-driven GTM platform for lean teams ready to scale faster, she operates at the intersection of strategy and execution. Her experience ranges from working on early AI initiatives such as building AI assistants for various organizations to helping startups structure their positioning, messaging, and growth efforts across the US and Europe. As a partner in the Future Unicorns program, she brings that lens into the room, working with founders on how to align their GTM efforts, build stronger feedback loops, and move from scattered activity to consistent traction.

Tell me about your professional experience, especially around mentoring teams when it comes to GTM. 

I’ve spent nearly 20 years in marketing and business development, including 12 years in B2B tech, where I focused on expanding business opportunities and growing companies’ presence in regions such as the Nordics, DACH, Southeast Asia, and Africa. This experience gave me a lot of exposure to how to operate a business in different markets and how much disciplined go-to-market work sits behind sustainable growth. 

Just before COVID, I started my own marketing company focused on small and mid-sized B2B tech businesses. We’ve managed to turn this into a global business working with clients and partners across regions such as the US, Canada, Australia, the UK, Germany, and Bulgaria. One of our most notable projects was an initiative, presented by Google Assistant, which was the start of my AI journey as well and it was before ChatGPT was even a thing. 

Soon after that, I became certified as a Conversation Designer and AI Consultant and worked on an MVP for a mental health AI assistant for a UK startup. I loved the space even more as I managed to get exposure on how to build great conversational AI experiences that people actually want to engage with.

It also influenced the development of AIMAR - our AI GTM platform for lean teams, built to bring go-to-market strategy, planning, and execution into one system instead of leaving founders to piece everything together themselves.

As your question was about mentoring as well, this has always been my passion: to support other entrepreneurs find their way out in the crowded market. Nowadays, with AI making development of new apps super accessible, distribution would be even more important because founders will need to understand how to position themselves better and differentiate. 

Over the past six years, I’ve had the pleasure of advising founders and startups across the US, UK, Germany, and India on GTM strategy and how to build a digital presence and positioning that converts. I continue to mentor early-stage founders as part of the Founder Institute in Philadelphia.

What made Future Unicorns relevant for you right now?

Future Unicorns has a unique curriculum, which helps European founders expand into the US market with more clarity, better support, and without losing track of what is important. 

For a lot of founders, this path often feels distant or almost impossible to navigate without the right network. Future Unicorns solves this huge problem by making this process really easy to navigate and accessible.

With AIMAR active across both the US and Europe, we have a close view of what it takes for founders to grow across markets. That made the partnership with Future Unicorns a natural fit and a meaningful way for us to support more startups as they scale.

From your perspective, where do early-stage founders in CEE systematically lose time or momentum today?

A lot of founders lose time trying to solve GTM in pieces. They may be posting content, having investor conversations, refining the product, doing outreach, and testing acquisition channels - but without enough alignment between those efforts. Activity is present, but momentum is not always there.

Another major gap is access to the right feedback loops. Founders often hear many opinions, but not all feedback moves the business forward. In fact, too much external input can easily blur direction. What matters most is the signal coming directly from your market - what resonates, what converts, and what people are willing to pay for.

You rarely figure all of that out at once. Building a startup is more like putting together a puzzle over time - through the right kind of feedback, stronger networks, and a steady process of aligning the product and positioning with the audience you want to serve.

That is also a pattern we see clearly through AIMAR. Founders usually do not lack ideas. What slows them down is the disconnect between strategy and execution, which makes day-to-day marketing feel far more complex than it needs to be.

What did you see in this program that suggested it can actually change that? 

Future Unicorns has put together a program that focuses on practical outcomes. What we liked about their approach is that it is not broad inspiration for founders, but it is built around the building blocks that materially improve a startup’s ability to grow - a more validated US GTM strategy, stronger pitch and investor readiness, a better understanding of product-market fit, and growth frameworks that can support scaling.

One of the biggest advantages is that the program is rooted in a very strong community of serial entrepreneurs and investors, and it helps startups raise the quality of their decisions. From my perspective, that is where strong programs make a difference. They help founders spend less time guessing and more time building traction in the right direction.

If you look at a typical startup team in this region, where can AI realistically compress time to traction?

AI can help in all processes and workflows that are repetitive. Some areas include market analysis, message refinement, content direction, planning next steps, and turning scattered data into insights that are essential for GTM efforts. 

In many early-stage teams, a lot of time is lost by trying to figure out these elements and restarting the work without enough continuity. 

This is one of the reasons why we built AIMAR the way we did. Most AI tools such as ChatGPT will provide you with outputs, but if you cannot make sense of them, they are not useful for driving your business forward. That’s why we decided to provide the whole system that helps founders and lean teams think clearly, prioritize well, and keep execution moving. 

For early-stage startups, that matters because traction is rarely blocked by a single big issue. It is usually slowed down by dozens of smaller delays, hesitations, and disconnected decisions. Custom AI GTM solutions can remove a surprising amount of that friction.

What are some use cases where you’ve seen the clearest ROI so far?

The clearest ROI tends to show up in saving time and executing faster. We’ve seen founders cut the time they spend on marketing work by up to 80% once they move away from doing everything manually and start working with a more structured system.

This is really important, especially if you are a startup, because it changes how a business operates and leaves the founder with more time to focus on judgment, relationships, and growth.

One example that stands out is a startup we worked with in the events space. The biggest win was not just producing content and campaigns faster. It was creating a simple, repeatable marketing workflow they could actually keep up with. This helped not only by providing more focus, but also by creating an additional revenue stream for their next event.

What’s one workflow or process you think every early-stage team should rethink today because of AI?

They should rethink how they build strategy in the first place. Many teams are still treating strategy as a static exercise and execution as something separate that happens later. That model breaks down quickly, especially when the market is shifting fast and teams need to learn in real time.

A lot of founders still confuse activity with strategy. For example, posting on LinkedIn is not a strategy. Copying best practices that worked for someone else is not a strategy either. 

Strategy combines clarity on who your target audience is, which segment feels the pain most urgently, what message changes their perception, where that audience already pays attention, what action you want people to take, and how to build enough repetition around that to generate a signal.

This is also where AI can be useful. It can help founders think with more structure, test faster, and stay much closer to the logic behind their GTM instead of just reacting to whatever feels urgent that week.

Are there specific patterns you’re starting to see across founders who move faster than others? 

Yes, the founders who move faster usually experiment more quickly, but they do not abandon direction too early. They test, learn, adjust, and keep moving, but they do not rebuild the whole GTM every time one tactic underperforms. That kind of consistency and clear direction matters much more than people think.

I’m a strong believer in working in 90-day growth cycles for that reason. Founders need enough time to let a strategy play out, gather real market feedback, and improve the quality of execution without constantly resetting. We use this approach in AIMAR as well, because meaningful GTM progress rarely comes from random bursts of activity. It comes from focused effort sustained long enough to produce a signal.

The founders who gain momentum faster are usually the ones who combine urgency with patience. They move decisively, but they also stay with the process long enough to make it work.

Livia Rusu