00:06:00 · S0, S1, S2, S3, S4, S5
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00:06:59 · S5, S6, S7, Mehul Nariyawala
Ad[00:06:59] S5: for more info. Ad[00:07:00] S6: It's officially the holiday season, and Abercrombie's new collection has outfits for everything on your calendar. It's the busiest time of year, and between shopping and party invites, I don't have time to plan every look. But Abercrombie's always got me covered. Their sweaters are the perfect easy layer for low key plans, and on a nice night out, I'm reaching for their classic trousers. Fill your closet with the pieces you'll need all season long. Have a very Abercrombie holiday. Shop in the app, online, and in stores. Ad[00:07:30] S7: This is Blue from the UPS store with a very special holiday announcement for small business owners. We're open. Let's be real. Your deadlines don't take holidays. So while the other guys are checking out, the UPS Store is here to pack, ship, print, shred, notarize, and check more things off your list all year long. With over 5,500 locations, there's a blue near you at the UPS Store. Shredding services are provided by Iron Mountain as is. Visit the upsstore.com/shredding for full details. Most locations are independently owned. Product services prices and hours of operation may vary. See store for details. [00:08:00] S8: What? This mount is Jupiter. Yeah. Okay. Clean this. So the
00:08:00 · Mehul Nariyawala, Navneet Dalal
[00:08:00] S8: What? This mount is Jupiter. Yeah. Okay. Clean this. So the [00:08:06] S9: We didn't have three d printers back then, and we build a hard wood shell in some sense. We took an existing vacuum cleaner and put its motor in and then put the cleaning head and attached a stereo camera with the center Wi Fi across the Wi Fi, send the images to a laptop and does all the algorithms on the laptop and then send the results back on it. That was the first prototype. Within three months after that, we migrated it to this tall black robot, and we built two of these. So we called them Batman and Robin. But we thought that, hey, there would be a pose on the top that you can just also clean around. You can ask for the robot to come to you, and you can clean around it and put it back. And we later realized that if we are doing a very good job of the floor cleaning, maybe people can just push the dirt on the ground and let it do it, and it will allow us to build a much simpler product. [00:08:56] S8: We put in about a million and $0.5 during the bootstrap stage of our own money. But luckily, when you start a company, sometimes luck helps you. For us, one of that trend was that three printers were getting really ubiquitous. So if we had to go and use someone else's machine to better build parts, that would have been hard. But because of three printers, we were able to shrink that down. But... Yeah. But overall, we've built about 200 plus prototypes, and all those are not going to be part of the production unit. So you can say all of... Along the way, destroyed in some sense.
00:08:56 · Mehul Nariyawala, Navneet Dalal
[00:08:56] S8: We put in about a million and $0.5 during the bootstrap stage of our own money. But luckily, when you start a company, sometimes luck helps you. For us, one of that trend was that three printers were getting really ubiquitous. So if we had to go and use someone else's machine to better build parts, that would have been hard. But because of three printers, we were able to shrink that down. But... Yeah. But overall, we've built about 200 plus prototypes, and all those are not going to be part of the production unit. So you can say all of... Along the way, destroyed in some sense. [00:09:28] S9: We have been working together since 2006. It's when I was at like.com. Mehul also joined like.com when we were doing computer vision for the Google Photos Like a product, but back in 2006. So like.com
00:09:28 · Navneet Dalal, Mehul Nariyawala
[00:09:28] S9: We have been working together since 2006. It's when I was at like.com. Mehul also joined like.com when we were doing computer vision for the Google Photos Like a product, but back in 2006. So like.com [00:09:40] S8: was the first computer vision startup. Navneet did his PhD in there. Didn't know anything about it. So for me, it was very serendipitous that I got to light.com. Just fell in love with everything computer vision, and I was doing most of my work on product marketing business side of things. And the funny story is that I would go... As we were recruiting, I would go and tell other computer vision experts that, hey. My cofounder and CEO is Navneet Dalal, and he has this PhD thesis in histogram of oriented gradients. And they're like, woah. Your cofounder is doctor Dalal? And I would always say, wait. Who's doctor Dalal? For him, for us, it was just Navneet. So Navneet never shared that his D. Thesis was really popular, and he was very well known in the computer vision community. So that was a good revelation. But that's how we started working together, and that's when we connect.
00:09:40 · Mehul Nariyawala, Navneet Dalal
[00:09:40] S8: was the first computer vision startup. Navneet did his PhD in there. Didn't know anything about it. So for me, it was very serendipitous that I got to light.com. Just fell in love with everything computer vision, and I was doing most of my work on product marketing business side of things. And the funny story is that I would go... As we were recruiting, I would go and tell other computer vision experts that, hey. My cofounder and CEO is Navneet Dalal, and he has this PhD thesis in histogram of oriented gradients. And they're like, woah. Your cofounder is doctor Dalal? And I would always say, wait. Who's doctor Dalal? For him, for us, it was just Navneet. So Navneet never shared that his D. Thesis was really popular, and he was very well known in the computer vision community. So that was a good revelation. But that's how we started working together, and that's when we connect. [00:10:19] S9: Flutter, to be honest, was very geeky thing. The idea was you use the cameras in the laptop, the front facing cameras, and you can control this laptop when watching YouTube, Netflix, or listening to a song on a Spotify by just saying play and pause. When we build the technology, a lot of people actually believe it couldn't be done back then because we were just a single small laptop camera. There are not that many computes in 2,011 laptops. And how can you even run it in a live product? Very soon realized that we are solving a living room problem, which is this is a product which should sit up in your setup box.