Apurva Shrivastava didn't just build a company. He turned a glitch in the way millions of people communicate into a massive engine for growth. If you’ve spent any time in India, you know the power of the missed call. It’s a signal, a "ping," a way to say "I’m here" or "call me back" without spending a rupee. Most people saw it as a quirk of a developing market. Shrivastava saw it as the foundation for a $1 billion AI powerhouse.
The story of Glance and InMobi isn't your typical Silicon Valley garage tale. It's grittier. It’s about understanding the specific psychology of the next billion users coming online. These aren't people using high-end iPhones on 5G in San Francisco. They're users in small towns, often on budget Android devices, looking for content that speaks to them instantly.
Shrivastava, an engineer by training, understood that friction is the enemy of growth. If you make someone unlock their phone, find an app, wait for it to load, and then search for content, you’ve already lost them. He wanted to win the battle for the lock screen. That’s where the real real estate is.
Engineering a Solution for the Unlocked Mind
Most engineers focus on features. Great engineers focus on behavior. Shrivastava noticed that people check their phones dozens of times a day just to see the time or notifications. They don’t always have a plan. They’re just bored.
By turning the lock screen into a dynamic content hub, he bypassed the app store entirely. Think about that. While every other startup was burning millions on user acquisition costs to get people to download an app, Shrivastava’s team was already there. Pre-installed. Integrated.
This wasn't just about showing pretty pictures. The tech behind Glance uses deep AI to figure out what you want to see before you even know you want it. If you like cricket, you get scores. If you’re into Bollywood, you get news. It’s a passive consumption model that turned out to be a goldmine.
Why the Missed Call Logic Worked
The "missed call" idea is basically the original "nudge." It's low-data, high-intent. When Shrivastava applied this philosophy to a startup, it meant creating a platform that required zero effort from the user.
- Zero Clicks: You don't have to do anything. The content finds you.
- Data Efficiency: It works even on patchy networks, just like a missed call.
- Cultural Context: It respects the way Indian users actually use their devices.
I've seen countless startups try to force Western behaviors on Indian consumers. They usually fail. Shrivastava succeeded because he leaned into existing habits. He didn't try to change how people used their phones; he just made that usage more valuable.
Building the Unicorn Factory
InMobi became India’s first unicorn, but the journey wasn't a straight line. There were pivots. There were moments where the whole thing could have collapsed. Shrivastava’s role was crucial in scaling the technical infrastructure to handle hundreds of millions of users.
Scaling an AI startup to a billion-dollar valuation isn't just about a good idea. It’s about the "plumbing." You need a system that can process billions of data points in real-time without crashing. You need to serve high-quality video and images to devices that might have limited storage.
Shrivastava and his team built a stack that could handle this load while staying lean. They didn't over-engineer. They built for the reality of the hardware their customers actually owned.
The Shift to AI-First Experiences
Today, Glance isn't just a wallpaper app. It's an AI-driven ecosystem. They’re moving into live gaming, shopping, and short-form video. The goal is to own the entire journey from the second you wake up and glance at your phone.
The AI doesn't just curate; it predicts. It looks at the time of day, your location, and your past behavior to serve a "feed" that feels personal. That’s the secret sauce. When the content feels like it belongs there, it stops being an ad and starts being a service.
People often ask me if this model can work outside of India. We’re already seeing it happen. Glance has expanded into Southeast Asia and is eyeing Western markets. The "distraction economy" is global. Everyone has those five seconds of downtime while waiting for an elevator or standing in line. Shrivastava figured out how to monetize those seconds better than almost anyone else.
What Most Founders Get Wrong
You see a lot of founders chasing "cool" tech. They want to build things that look good on a pitch deck. Shrivastava built something that looked good on a balance sheet. He focused on a massive, underserved segment of the population and gave them something they didn't even know they needed.
If you're looking to build the next big thing, stop looking at what’s trending in Silicon Valley. Look at what people are doing when they think nobody is watching. Look at the "hacks" they use to get around problems. That’s where the billion-dollar ideas are hiding.
Don't build for the person you want your customer to be. Build for the person they actually are. Shrivastava didn't build for a power user; he built for a person with a "missed call" mindset.
Hard Truths About Scaling in India
The Indian market is brutal. It’s price-sensitive and incredibly diverse. What works in Mumbai won't necessarily work in a village in Bihar. Shrivastava’s engineering background allowed him to build a platform that was modular enough to handle this diversity.
You can't just translate an app into ten languages and call it a day. You have to understand the nuances of local content. Glance uses AI to categorize and serve content in multiple languages, ensuring that the experience is truly local.
It’s also about partnerships. You can't reach a billion people alone. Shrivastava worked closely with smartphone manufacturers like Samsung and Xiaomi. By integrating at the OS level, Glance became part of the hardware. That’s a moat that most app developers can only dream of.
The Engineering Mindset in Business
Apurva Shrivastava isn't a loud, flashy CEO. He’s an engineer at heart. That means he views business problems as optimization problems.
- Retention: How do we keep them looking?
- Engagement: How do we get them to swipe?
- Monetization: how do we do it without ruining the experience?
He approaches these with data, not just intuition. If the numbers don't support a feature, it's gone. That level of discipline is rare. Most founders fall in love with their own ideas. Shrivastava seems to stay in love with the problem.
The "missed call" concept is essentially about getting the most out of the least. It’s an efficiency play. In a world of bloated apps and intrusive ads, that simplicity is refreshing. It’s also incredibly profitable.
Tactical Lessons for Your Own Growth
If you want to apply Shrivastava’s logic to your own career or business, start by identifying the "dead time" in your customer's day. Where are they waiting? Where are they bored?
Don't try to steal an hour of their time. Try to steal ten seconds, six times a day. It’s much easier to get someone to glance at something than it is to get them to engage in a deep-dive session.
Next, look at your distribution. If you’re relying on an app store, you’re at the mercy of Google and Apple. Think about how you can get closer to the user. Can you partner with a platform they already use? Can you integrate into a workflow they already have?
Finally, lean into AI for personalization, not just automation. Use it to make the user feel like you’re reading their mind. When a user sees exactly what they were thinking about on their lock screen, that’s magic. And magic is what builds billion-dollar brands.
Identify your "missed call" opportunity. Find that one simple, low-cost behavior that everyone else is ignoring. Then, build the engineering stack to scale it. Shrivastava showed us the blueprint. Now it's your turn to execute. Go look at your phone. The next big idea might be staring you in the face before you even unlock it.
