John Hu, 30-year-old cofounder of Venice, California-based Stan, has successfully launched Stanley, an artificial intelligence platform designed to help content creators develop and scale posts for LinkedIn and Instagram. Developed over a 14-day sprint and introduced to the market in June 2025, the tool rapidly demonstrated product-market fit, achieving $200,000 in annual recurring revenue within six weeks. The Instagram iteration followed in March 2026. Combined, the two platforms have generated $3 million in ARR, contributing to Stan’s total company revenue of approximately $41 million alongside its flagship Stan Store product. Hu describes the development methodology as vibe coding, a rapid prototyping approach that prioritizes speed and iterative refinement over traditional engineering workflows. To prevent the creation of low-utility software, Hu implemented a four-part strategy focused on customer alignment, manual validation, public distribution, and automated outreach. First, the development team leveraged their own background as content creators to ensure deep familiarity with target user pain points, treating customer insight as the primary filter for feature prioritization. Second, they adopted a Wizard of Oz validation technique during early user interviews, manually generating content ideas and drafting emails to test demand before full automation. This approach allowed the team to continuously refine the core user experience while avoiding scope creep. Third, the startup pursued a build-in-public model, documenting development milestones and operational challenges across social platforms. This transparency accelerated distribution and organic community building, driving a significant portion of the initial $200,000 ARR within the first fortnight of posting. Fourth, the company deployed Stanley itself to execute cold outreach campaigns. The AI agent analyzed hundreds of LinkedIn creator profiles, generated personalized content recommendations, and distributed follow-up messages containing direct product trial links. Conversion metrics from these automated outreach efforts provided immediate feedback on product viability and user intent. The rapid trajectory of Stanley reflects a broader shift in software development where AI-assisted prototyping enables founders to compress months of engineering work into single-digit weeks. Hu emphasized that while AI accelerates implementation, human judgment remains critical for market validation, strategic prioritization, and maintaining product quality. The Stanford dropout noted that the current technological landscape rewards decisive action, positioning founders who iterate quickly and communicate transparently to gain early traction. As the platform continues scaling, Stan maintains its focus on expanding creator monetization tools while maintaining a lean development cycle optimized for market responsiveness.