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On November 4-6, Miro will be running an exclusive masterclass series [4]. Over 1,000 product leaders have already signed up - save your spot [4] for free access to all three sessions:
AI adoption is slowing, but product stickiness is rising. As social media becomes a last-resort business model and job seekers resist AI résumé filters, it's clear that lasting growth still depends on human judgment.
This year's Coalesce felt like the end of an era, with the venture capitalists - and the raw sense of possibility they embodied - now gone. The data world has matured into stability, leaving its pioneers to choose between the rush of invention and the calm of permanence.
Real moats like brand, network effects, and scale only form once a startup gains traction, so in the early days, momentum isn't the moat - it's the engine that builds one.
Legitimacy in tech has evolved from user groups and magazine reviews to venture capital and AI credentials. Despite new tools, true success still depends on earning trust and demonstrating genuine expertise - not just chasing trends.
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Vibe coding tools are great for delivering prototypes, but not apps that work at scale. Fresh off a $15M seed round, Rocket [9] is pioneering _vibe solutioning_: AI that builds production-ready frontend, backend, data flows, and more. Explore Rocket [9] to turn your ideas or Figma designs into production apps.
This post outlines a four-step approach to building product strategy: gather inputs, craft strategic narratives, find leverage, and make focused choices. Strategy isn't neat or formulaic - it's an ongoing, messy process driven by learning, conviction, and disciplined focus.
Grant Lee's team at Gamma prototypes, tests, and refines ideas within a single day using AI tools and real user feedback. It's a model of instant learning and iteration that shows how fast, data-driven product development is becoming the new standard.
Technical feasibility is the hidden backbone of great product teams. When treated as a guide instead of a hurdle, it keeps ambition honest, reduces rework, and turns speed into sustainable progress.
Prioritize key players, build trust, align on shared outcomes, involve stakeholders early, and manage conflict constructively. Done well, these practices turn stakeholder alignment into a lasting advantage for great product leadership.
AI makes it easy to build fast, but true value now lies in the 20% of craft that turns rapid output into thoughtful, user-centered design.
Many product leaders avoid strategic thinking out of fear or “placebo productivity.”