The Sovereign Post

Bekteshi's entry point into software development did not begin in tech, but in services.

Through ibgboost, a digital marketing agency serving clients across Europe and the United States, he worked directly with campaign management, lead generation, and paid advertising. Running campaigns across platforms like Meta and Google exposed inefficiencies in workflows, data tracking, and content production.

That operational insight became the foundation for maroa.ai.

The platform aims to provide businesses with an integrated system for campaign creation and scheduling, AI-generated content in text, image, and video formats, CRM and lead tracking, performance analytics, and automated notifications and follow-ups.

It connects with major platforms including Meta (Facebook and Instagram), Google Ads, TikTok, and LinkedIn, while also leveraging third-party services such as Stripe for billing and Twilio for messaging automation.

The system is built using a modern cloud-based stack, including backend infrastructure, API integrations, and workflow automation tools. Much of the automation layer is handled through custom workflows, enabling the platform to execute repetitive marketing tasks with minimal manual input.

What makes Bekteshi's project notable is not just the product itself, but the way it was developed.

While most SaaS platforms in this space are built by teams, maroa.ai has been developed primarily by a single individual. This includes backend development, frontend interface, automation logic, and system integrations.

Solo development at this scale is uncommon, though not unprecedented. The rise of no-code and low-code tools, combined with accessible AI models, has made it increasingly possible for individual builders to create complex systems more efficiently than in previous years.

Still, executing and maintaining such a system presents ongoing challenges, particularly around scalability, reliability, and long-term support.

Rather than launching immediately to a broad market, Bekteshi took a practical approach: deploying maroa.ai within his existing client base first.

By transitioning ibgboost clients onto the platform, he effectively used his agency as a live testing environment — validating performance, identifying gaps, and refining the product in real conditions. The platform is now fully operational and serving clients.

This "service-to-software" transition model has been used by a number of startups to reduce risk and accelerate product-market fit.

With the platform now production-ready and platform-level approvals — including Meta API integration — secured, the focus has shifted toward expanding feature reliability, improving user experience, scaling infrastructure, and exploring potential partnerships.

Bekteshi's work reflects a broader shift in the startup ecosystem.

As tools become more powerful and accessible, individual founders are increasingly capable of building products that previously required entire teams. While funding and scale still play a major role in long-term success, the barrier to entry for creating functional, revenue-generating software has decreased significantly.

Whether maroa.ai evolves into a widely adopted platform remains to be seen. But its development highlights a clear trend: the rise of technically capable founders building directly from real-world problems.