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With experience of building 100+ digital products,
our team is eager to share their insights and stories. Whether you seek inspiration or hands-on advice, we offer a mix of technical knowledge and personal experiences. Dive into our blog for practical tips on product development, design, and software engineering, all from our team behind digital products reaching millions.
Ministry of Programming•Oct 7, 2025•NEWS
Ministry of Programming x ElevenLabs: A New Voice AI Partnership
Voice AI is redefining how we interact with technology and we’re stepping in early. In partnership with ElevenLabs, the $6.6B leader in human-like voice experiences, we are bringing conversational, adaptive, and deeply human interfaces into the next generation of digital products.
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Adnan Ahmethodzic•Oct 6, 2025•Product Discovery, Design & Validation
How to Run Discovery Workshops That Lead to Real MVPs
DnD workshops turn ideas into actionable MVP plans. Through structured collaboration, stakeholder alignment, and assumption validation, Adnan knows these sessions reduce uncertainty, shorten dev cycles, and lay a clear foundation for successful digital products. Check out how in his new blog.
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Amra Zacina•Sep 22, 2025•Product Discovery, Design & Validation
How to Support Your First 100 Users (Without Breaking)
Building support systems for your first users is part of your product strategy. In her new article, Amra explains how early adopters shape your roadmap and why strong support accelerates product-market fit.
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Igor Kraisnik•Sep 16, 2025•Product Discovery, Design & Validation
How to Transform Ideas into User-Friendly Products
In 2025, building the right product means more than just a good idea. Igor explains our Discovery & Design framework - a step-by-step path to transform raw concepts into validated, user-friendly products that scale with confidence.
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Adnan Bucalovic•Sep 12, 2025•NEWS
Scanning the AI Horizon: 3 Key Trends from EEML 2025
After EEML 2025, Adnan outlines three AI trends founders must watch: agentic multi-agent systems rising beyond monolithic LLMs, specialized compliant ML for healthcare, and emerging limits of LLMs driving new architectures. Read his key takeaways.
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