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AI has become the new must-have label in the tech world. Scroll through LinkedIn or browse software company websites, and you’ll see “AI-powered,” “ML-driven,” and “data-centric” plastered across every page. But behind the hype, many of these so-called AI companies don’t actually build artificial intelligence—they just rent people who do.
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Generative AI tools like ChatGPT, Midjourney, and Claude have made it easier than ever to produce articles, images, music, and even code — sometimes with just a few clicks. But as businesses rush to automate content creation, one critical question remains: Who actually owns AI-generated work?
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So, you thought AI could replace your dev team? How’s that going? 😀 If you’ve spent the last few months trying to build your MVP with a prompt instead of a product team — congratulations, you’ve just learned what many founders are now quietly admitting: it’s harder, slower, and far more fragile than it looked…
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Everyone talks about building software. Far fewer actually make money from it. It’s easy to get caught up in the hype — spinning up a SaaS, sketching out pricing tiers, dreaming of MRR and exits. But before any of that matters, you need one thing: clarity. What exactly are you building? Who is it for? Why…
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So, your SaaS has stopped making money. Not slowed down — just flatlined. MRR is now MIA, and the only notifications you’re getting are from Google Analytics gently whispering “0 active users.” Don’t worry, you’re not alone — many founders have been there, staring at Stripe dashboards like they’re broken. But the real problem might…
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Thinking of launching a SaaS? Read this before you burn $100,000. We’ve all heard the dream: Build a product once. Sell it forever. Sleep while Stripe works. But here’s the reality: most SaaS projects don’t fail because of code. They fail because of business decisions — or the lack of them.
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We live in a time, where technology rewrites the rules. It shapes how businesses run, how customers interact, and even how entire industries evolve. Companies that ride the wave of change grow stronger, while those that hesitate are likely to fall behind. But making that leap toward digital transformation isn’t always easy.
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Learn how LaSoft’s HR Insights system uses AI with predictive analytics to help forecast employee turnover. Discover how you can save money by using proactive employee retention strategies.
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Understanding users, their needs, pains, and habits are critical for a good product design process. We work a lot with subject matter experts that know a lot about their field, but unfortunately, sometimes everyone tries to “guess” what other people need… this approach may lead to poor product design, and here is why.
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Companies must adapt quickly to maintain their leading positions in today’s rapidly evolving markets. This is especially true in software development, where companies are under constant pressure to deliver innovative solutions to keep up with ever-evolving innovations and competition.
