Before writing a single line of code, Srinivasan insists on a non-negotiable step: interviewing 100 potential customers. He advises founders to treat these conversations as reality checks rather than sales pitches, focusing on whether a problem is painful enough to warrant a paid solution. If the data suggests a mismatch, he advocates for an immediate pivot, noting that his current AI-driven intellectual property platform underwent seven distinct iterations before finding its market fit.
Domain expertise remains his primary filter for new ideas. By targeting inefficiencies he personally encountered—such as the complexities of patent law or gaps in STEM education—he ensures his products address genuine friction. This approach extends to funding, where he avoids premature venture capital. Instead, he leans on pitch competitions, grants, and modest friends-and-family rounds to maintain equity control. While he embraces AI to accelerate product development and outsource technical tasks, he maintains that the founder’s lived experience remains the essential heartbeat that distinguishes a sustainable company from a fleeting tech trend.
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