Traditional SaaS was a beautiful business model. You built the product once, hosted it cheaply, and the marginal cost of each new user approached zero. That’s how companies hit 75-85% gross margins and made investors swoon. AI blew that up. Every inference burns actual compute. Every API call has
Most product launches go sideways before anyone writes a single line of code. Here's a framework for the ones that don't. I'm going to say something that sounds controversial but really isn't. the reason most software products fail has almost nothing to
Most AI pilots never make it to production. Here's a framework for the ones that do. There is no shortage of AI pilots running inside companies right now. What there is a shortage of is AI pilots that actually turn into production systems that do real work. The
Most product failures aren't caused by bad ideas. They're caused by the gap between strategy and an organizations ability to effectively execute According to Harvard Business Review, 67% of well formed strategies ultimately fail due to poor execution. The Project Management Institute did research and asked
Search Google for “custom software development cost” and you’ll get pages of results telling you it’s anywhere from $10,000 to $250,000. Sure, that’s correct. But it’s also about as helpful as asking someone how much does a house cost and being told “Anywhere from
Forty-two percent of startups fail because they build something nobody wants. Not because they run out of money. Not because the team fell apart. Not because a competitor crushed them. They built the wrong thing. The number above comes from CB Insights’ “Top 20 Reasons Startups Fail,” which compiled startup
If you work in product development right now, every team around you is “adding AI.” A chatbot feature here. A recommendation engine there. Maybe some predictive analytics on an unused dashboard. Bolting AI onto your product is the lowest bar imaginable right now. You probably get to say “we’re