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Saved February 14, 2026
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The author shares insights from their first six months at Lovable, highlighting a need to discard old frameworks and adapt to rapid changes in AI and customer expectations. They discuss the shift from traditional growth methods to innovative approaches that prioritize new features and community-driven distribution.
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After six months at Lovable, the author reflects on how the rapid evolution of AI technology has forced a major shift in their approach to growth. Unlike previous roles where established frameworks guided their work, only 30-40% of their past experience applies now. The landscape is unpredictable, requiring them to discard old patterns and embrace a new, uncomfortable reality. The focus has shifted from optimizing existing processes to inventing new features and loops, emphasizing creativity over traditional marketing tactics.
Growth now hinges on word of mouth and community engagement rather than conventional paid marketing. Products are converging into simple interfaces with AI agents, meaning that the quality of these agents deeply impacts growth. As the distribution landscape shifts, staying alert to new channels is critical. The author notes that product-market fit is fleeting; companies cycle through phases of growth and scaling without stabilizing. Roles have also blurred, with team members frequently crossing boundaries to enhance collaboration.
To navigate this chaotic environment, the author has adopted several strategies: planning in short, iterative cycles, prioritizing learning over comfort, and focusing on shipping ideas quickly rather than perfecting them. The work is intense but rewarding, highlighting that adaptability and rapid relearning are essential skills in today's fast-paced growth landscape.
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