Most students spend their time in college preparing for internships or graduate school. Dhravya Shah spends his time building software. Before turning 20, the Indian entrepreneur had launched over 15 open source projects, sold two companies, and ultimately raised $3 million as a solo founder to build an AI startup that now develops in-memory infrastructure for intelligent agents.In a wide-ranging conversation on the Solo Founders podcast, Shah reflected on his unconventional path – from giving up on his dream of studying at an Indian Institute of Technology to dropping out despite enjoying campus life. Along the way, he shares why he believes the future of artificial intelligence will rely less on smarter models and more on something many developers still overlook: memory and context.
This startup wasn’t planned — it took years of building to come to fruition
Shah said he never set out to launch a startup. Instead, he spent years creating projects simply because he found them interesting. None of his early products were hidden behind paywalls, and each one was open source.Project AnyContext, a tool designed to help users organize their personal context, has gained unexpected traction. Rather than treating it as a finished product, Shah continued to listen to users and repeatedly changed direction. What started out as a consumer-focused “second brain” evolved over time into Super Memory, an infrastructure platform that helps developers build AI applications that remember information over time.Even during fundraising, when one of his launches generated millions of impressions online, Shah resisted the temptation to build solely around viral attention. “Sometimes you have to step back and realize that what I was doing wasn’t as popular as I thought it would be,” he said in the interview.For students interested in entrepreneurship, his journey highlights an important lesson: Successful startups often come from continued experimentation rather than a single breakthrough idea.
Why he thinks the next challenge for artificial intelligence is not intelligence but memory
While much of today’s AI conversation revolves around increasingly powerful language models, Shah believes the next big challenge lies elsewhere.He believes that in the future, everyone can have a personal artificial intelligence agent, just like people have their own smartphones today. In that world, he said, one agent would differ from another not just in the underlying model, but in how well it remembers the user.“Everyone will have their own AI agent, just like everyone has their own phone,” Shah said. “In that world, the most important thing is your background.”He believes that contextual infrastructure—the systems that allow AI to remember preferences, conversations, and long-term information—will become as important as the inference models that drive today’s AI applications. Developers should not think of memory as an add-on but as core infrastructure.
Why faith is more important than dropping out of school
Unlike many entrepreneurial stories, Shah says dropping out of college was never the goal. He described how he enjoyed college, excelled academically, and made lifelong friends. The decision comes after nearly three years spent building and refining the technology behind Super Memory.His family encouraged him to complete his degree, and visa uncertainty added another layer of risk. Yet Shah said years of intensive research on the issue gave him the confidence to pursue it full-time.He also credits San Francisco’s Independent Founder Program as instrumental in his growth, not because it encouraged founders to work alone, but because it surrounded them with peers who were constantly challenging each other’s thinking. Conversations about engineering, discipline, sales and company building become part of daily life.For students looking to build a career in technology, Shah’s advice is to keep creating and sharing work rather than chasing online validation. He notes that many of his early projects received little attention, but publishing them helped develop his skills, connect with future collaborators and ultimately build credibility.As artificial intelligence continues to reshape industries, Shah’s story provides an alternative blueprint for aspiring founders: Build iteratively, stay open to changing directions, and let curiosity (not hype) determine what happens next.
