Welcome to another Growth Talk!

Today, we’re talking with Amir, the CCO and co-founder of Qubinets and co-founder of Wespa Spaces. With 15 years of experience building businesses, products, and teams for some of Europe’s top tech companies, Amir has a lot to share. Recently, he started two new projects: one focused on helping startups grow and another combining his passion for AI and Big Data with his love for technology and growth.

One of his projects, Wespa Spaces, provides much-needed support for startups in Croatia. The other, Qubinets, helps companies deploy and manage their data infrastructure through an intuitive UI. Since its launch less than a year ago, Qubinets has already hit impressive milestones: over 8,000 registered users, 2,600 returning users, and 1,900 cloud projects created on the platform.

Keep reading to learn more about his journey and how he’s making it happen!

Let’s start:

What is the backstory of Qubinets? How did you get from an idea to a business?

Qubinets is a spin-off of an internal platform created by ex-Dataflux (now Dataverse) to automate containerized app provisioning. The company worked on a major infrastructure monitoring project for Deutsche Telekom, which led to the first versions of managed Open Source tooling. This sped up provisioning for fast prototyping and building backend applications without requiring significant DevOps resources.

What problem were you trying to solve when you founded Qubinets, and how has that evolved?

We’re addressing the growing demand for cloud and container expertise. Developers often waste weeks learning once-off skills or waiting for DevOps teams to provision cloud assets before they can deploy and test code, especially when working with large datasets. Qubinets solves this by simplifying and automating these processes.

Beyond AI agents, what other use cases does Qubinets support?

Qubinets’ cloud infrastructure can support a wide range of digital projects, from websites and data analytics platforms to stateful applications. While we currently focus on AI use cases, our approach is to prioritize high-demand verticals during the platform's early stages. In the future, we aim to support a much broader range of use cases.

Qubinets recently hit 8,000 users and 2,600 cloud projects. What do you think drove this success?

Our holistic approach to user experience has been key. We experiment with different strategies, measure outcomes, and adapt. Qubinets itself uses AI, data analytics, and automation to continually improve. By managing our data infrastructure efficiently, our team can focus on creativity and make data-driven decisions to enhance our offerings.

Growing a startup is challenging. What’s a mistake you made early on that you’d advise other founders to avoid?

Focusing too much on the product can be detrimental. We developed a complex and ambitious idea, which made it hard to allocate time and resources to other aspects of our operations. While we succeeded, it was a do-or-die moment I’d rather avoid in the future. Balance is crucial.

What’s been the biggest learning moment for you as a founder?

Talking to VCs taught me that being too ambitious can backfire. Some investors thought our project was "too good to be true," even with strong engagement numbers. Less ambitious projects with lower valuations often resonate better with investors because they appear less risky.

What’s next for Qubinets?

We’re about to release research in collaboration with Ernst & Young that provides companies with a self-assessment of their AI readiness. We’re also working on strategic partnerships with infrastructure providers and aim to secure our 10th paying client by mid-Q4. While we’re in discussions with large industry players, it’s too early to share details.

What advice would you give to founders in the AI space?

Create a short path to your clients. Talk about their needs and focus on building products that deliver immediate value. Avoid spending time on aspects that won’t create short-term impact. The AI space is rapidly evolving, so be prepared for changes and stay adaptable.