Curtis Liu

Yo, so let me tell you about Curtis Liu. This guy’s a straight-up tech beast. He’s the CTO and co-founder of Amplitude, which is one of the biggest digital analytics platforms out there now. Started this thing back in 2012, right in Y Combinator’s W12 batch – so he’s been in the game for a minute. But what’s crazy is how he got here.

Before Amplitude, he was already grinding at Google and Electronic Arts. Like, he’s been in the trenches with some of the biggest tech giants. That kinda experience? It’s huge because it shows he’s not just some random coder; he’s been in the big leagues, building stuff that matters. But here’s the kicker – he didn’t just stop there.

He co-founded Sonalight, a YC W12 company too, that focused on voice-to-text tech for safer texting while driving. That’s some real-world impact shit. It’s about making safety easier, saving lives – no bullshit. You can see he’s got this thing for solving real problems, not just chasing shiny tech trends.

And get this – he’s a MIT guy, studied Electrical Engineering and CS. And he’s a two-time winner of MIT’s Battlecode. That’s a competitive programming thing, super intense. So, he’s got mad skills and a competitive edge that’s clearly wired into his brain. It’s like he’s always been about pushing limits, figuring out how stuff works, then making it better.

What does all this tell you? It’s like, Curtis isn’t just about building startups for the hell of it. He’s driven by a genuine passion for tech and solving problems that actually matter. The process from MIT to Google, to EA, then to co-founding Sonalight and later Amplitude – it’s about jumping into problems, crushing them, and then scaling that success. He’s the real deal because he’s proven he can build, lead, and innovate at the highest levels.

Bottom line? Curtis Liu is a perfect example of a tech founder who’s been in the trenches, learned from the best, and keeps pushing forward. His story shows that real startup success comes from passion, grit, and a no-BS attitude for solving tough problems. That’s why he’s so important – he’s not just riding the wave, he’s helping shape the future of how we understand and use data.