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Hyper has developed the best indoor location technology in the world: 1m-accurate indoor GPS. But this is an enterprise game. To scale to a billion people, we’re actively exploring selling our tech to a larger org. Everything I’ve learnt building indoor location over 7 years 👇

Andrew Hart

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208,457 görüntüleme • 1 yıl önce •via X (Twitter)

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This is HUGE and I’ve wanted to announce this since the day I started my company. We’re rolling out Hyper to every campus in the world. Today announcing the Hyper app, which enables 1m-accurate indoor location, with maps and AR navigation. Super easy to setup.

This is HUGE and I’ve wanted to announce this since the day I started my company. We’re rolling out Hyper to every campus in the world. Today announcing the Hyper app, which enables 1m-accurate indoor location, with maps and AR navigation. Super easy to setup.

Andrew Hart

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What I’ve learnt: Indoor maps/location has massive potential but has been stuck in enterprise hell for the past 10 years. Every solution is inaccurate, expensive, bad UX, impossibly slow to deploy. Hyper will radically transform this. Our first release has two innovations: - Self-serve onboarding == zero enterprise sales cycle - Hyper app == zero implementation, no code required With this, we've cut the sales + integration process from months to days. And of course, our technology is precise, affordable, scalable and great UX. The opportunity size here is huge -- from hospitals to airports, from museums to warehouses. I'm excited to keep pushing with new releases that make indoor location useful and accessible to everyone.

What I’ve learnt: Indoor maps/location has massive potential but has been stuck in enterprise hell for the past 10 years. Every solution is inaccurate, expensive, bad UX, impossibly slow to deploy. Hyper will radically transform this. Our first release has two innovations: - Self-serve onboarding == zero enterprise sales cycle - Hyper app == zero implementation, no code required With this, we've cut the sales + integration process from months to days. And of course, our technology is precise, affordable, scalable and great UX. The opportunity size here is huge -- from hospitals to airports, from museums to warehouses. I'm excited to keep pushing with new releases that make indoor location useful and accessible to everyone.

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Just added indoor navigation to WeWork, without them knowing. Got this up and running in 2 days, using wifi + motion data for precise location. Every other indoor solution takes months and usually require beacons. Hyper is going to fix the indoor navigation space. 💪

Just added indoor navigation to WeWork, without them knowing. Got this up and running in 2 days, using wifi + motion data for precise location. Every other indoor solution takes months and usually require beacons. Hyper is going to fix the indoor navigation space. 💪

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We’re making fast progress on indoor mapping at Hyper. We want to map every campus in the world. In 1 day, we mapped this 5-storey library building with full navigation. End result is amazing. Onto the next one.

We’re making fast progress on indoor mapping at Hyper. We want to map every campus in the world. In 1 day, we mapped this 5-storey library building with full navigation. End result is amazing. Onto the next one.

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Keely Hodgkinson – the ambition to break the world indoor 800m record 🌍 Three years ago we went behind the scenes in Manchester, where Hodgkinson set a world indoor 600m record of 1:23.41 ⚡️ She didn't just break Jenny Meadows' British indoor record of 1:25.81 (2007) but also improved Olga Kotlyarova's 1:23.44 (2004) 🏃‍♀️ Tomorrow night Hodgkinson aims to make history once again and is targeting Jolanda Čeplak world indoor 800m record of 1:55.82 (2002) ⏳ 📹 Dan Vernon

Keely Hodgkinson – the ambition to break the world indoor 800m record 🌍 Three years ago we went behind the scenes in Manchester, where Hodgkinson set a world indoor 600m record of 1:23.41 ⚡️ She didn't just break Jenny Meadows' British indoor record of 1:25.81 (2007) but also improved Olga Kotlyarova's 1:23.44 (2004) 🏃‍♀️ Tomorrow night Hodgkinson aims to make history once again and is targeting Jolanda Čeplak world indoor 800m record of 1:55.82 (2002) ⏳ 📹 Dan Vernon

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A new Dunkin Donuts opened in “the hood” in South Central Los Angeles The location opened with just a drive thru and “Order Here” kiosks on the outside of the building. No indoor seating or walk-up counter service This is due to California crime. In higher crime neighborhoods food businesses are beginning to open locations where no indoor seating is an option In addition to being safer in crime heavy area, the business focuses more on to-go orders and drinks Drive thru only Dunkin’ locations are more commonly deployed in higher crime urban neighborhoods, which are overwhelmingly in Democrat led cities (this is supported by real data)

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Craziest DM I ever received, from a VP at a global retailer: "Our app is shit and we know it's shit". I met her for coffee and she asked me if I could solve the biggest unsolved problem in retail. This is a deep dive into why and how Hyper built a 1m-accurate indoor GPS. This DM arrived in 2017. My outdoor AR navigation demos had just gone viral, and my new open-source project for Apple had elevated me to be the top trending iOS developer on GitHub. The retail exec told me they wanted to bring indoor maps and navigation to their retail stores, so customers could find what they’re looking for, and they could pop up relevant promotions along the way. It turns out that every office, university, events venue, hotel, airport, warehouse, factory — basically everywhere indoors have some need to navigate people around, provide relevant information, and improve efficiency. I assumed this was a solved problem. No. They do have maps on their app, but they aren’t able to navigate people because GPS doesn’t work indoors. They tried every solution out there to provide the blue dot, but nothing worked. I did know something about maps and location already — the first startup I worked at built an early version of Pokemon Go. I’d been tasked with generating the gamified maps, and populating the monsters and rewards. So I knew a bit about maps, coordinates and GPS — and monster training. But indoor navigation was new to me. Over the years, I’ve slowly become an expert in this, so let me explain. For indoor navigation to work well, the blue dot location needs to be 2x as accurate as a strong GPS signal. An aisle in a store is usually about 2 meters wide, so an accuracy wider than 2 meters would be fixing you in the wrong aisle. There are many research studies aimed at solving this, and Apple and Google have made acquisitions to help them in this area over the years. There were also many startups who claimed to have solutions, but when I spoke to their customers, I discovered that they weren’t happy with anything they’d tried: - Bluetooth beacons. Install thousands of these small sensors, which are a bit like AirTags, and use them for triangulation. But the bluetooth signals are noisy, making the location about 5 meters accurate, so it would jump you between multiple aisles in a store. Plus, lots of infrastructure to maintain. - WiFi. More promising than beacons, because every business has WiFi installed already. But the same radio signals problem means the location isn’t accurate enough. - Magnetomers, which use the earth’s magnetic field. This one sounded more promising. But it takes several minutes of walking around until it will give you a “blue dot”. So this was a bad user experience. - Computer Vision, which works like Google Street View. The user holds up their phone to scan the environment, it recognises their surroundings and locks them in. But this is clunky for the user, and they need to do this repeatedly every time they want a location update. Once again, bad user experience. Here’s an example of Apple’s own accuracy using WiFi. (I’ll show our own performance on these same sessions further down).

Craziest DM I ever received, from a VP at a global retailer: "Our app is shit and we know it's shit". I met her for coffee and she asked me if I could solve the biggest unsolved problem in retail. This is a deep dive into why and how Hyper built a 1m-accurate indoor GPS. This DM arrived in 2017. My outdoor AR navigation demos had just gone viral, and my new open-source project for Apple had elevated me to be the top trending iOS developer on GitHub. The retail exec told me they wanted to bring indoor maps and navigation to their retail stores, so customers could find what they’re looking for, and they could pop up relevant promotions along the way. It turns out that every office, university, events venue, hotel, airport, warehouse, factory — basically everywhere indoors have some need to navigate people around, provide relevant information, and improve efficiency. I assumed this was a solved problem. No. They do have maps on their app, but they aren’t able to navigate people because GPS doesn’t work indoors. They tried every solution out there to provide the blue dot, but nothing worked. I did know something about maps and location already — the first startup I worked at built an early version of Pokemon Go. I’d been tasked with generating the gamified maps, and populating the monsters and rewards. So I knew a bit about maps, coordinates and GPS — and monster training. But indoor navigation was new to me. Over the years, I’ve slowly become an expert in this, so let me explain. For indoor navigation to work well, the blue dot location needs to be 2x as accurate as a strong GPS signal. An aisle in a store is usually about 2 meters wide, so an accuracy wider than 2 meters would be fixing you in the wrong aisle. There are many research studies aimed at solving this, and Apple and Google have made acquisitions to help them in this area over the years. There were also many startups who claimed to have solutions, but when I spoke to their customers, I discovered that they weren’t happy with anything they’d tried: - Bluetooth beacons. Install thousands of these small sensors, which are a bit like AirTags, and use them for triangulation. But the bluetooth signals are noisy, making the location about 5 meters accurate, so it would jump you between multiple aisles in a store. Plus, lots of infrastructure to maintain. - WiFi. More promising than beacons, because every business has WiFi installed already. But the same radio signals problem means the location isn’t accurate enough. - Magnetomers, which use the earth’s magnetic field. This one sounded more promising. But it takes several minutes of walking around until it will give you a “blue dot”. So this was a bad user experience. - Computer Vision, which works like Google Street View. The user holds up their phone to scan the environment, it recognises their surroundings and locks them in. But this is clunky for the user, and they need to do this repeatedly every time they want a location update. Once again, bad user experience. Here’s an example of Apple’s own accuracy using WiFi. (I’ll show our own performance on these same sessions further down).

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I do not like Great Wolf Lodge. Those words will likely make it into my eulogy. But of all them my kids have begged to stay at over the years, this one outside of Dallas Texas in Grapevine is the best indoor waterpark we’ve been to. It’s also the most affordable I’ve found. #dallas #greatwolflodge #vegasstarfish #travel

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