 Yeah, new, new, new, new, new, new, new, new, new, new. New, new, new, new, new. All right, you said you needed a lot of new. We had a special request for that. Long story, it'll make sense later. Okay, we have it coming soon. I stick to the engineering. Okay, so the new Create 3 from iRobot. It's not quite out yet, but we do have a signup. We're out of the Create 2. The Create 3, it looks like a nice upgrade. It's got Wi-Fi, I think it's got Bluetooth. It's got- Python powered. Python, this looks like a really cool robot. Maybe we'll get CircuitPython Blanket. We will. We're gonna be pretty sweet. Just for the folks, so one of the cool things about iRobot is they're like, oh, we solved the biggest problem with robotics is like, you need to make power supply. You need to make this, you need to make that. We happen to make it. So it just comes without the vacuum parts, basically, but it's a learning robot. But that's- It's a great platform. That's the genesis of this. Yeah, and it's a really good deal. You get the battery, you get the motors, you get the sensors, you get the computer. I mean, you couldn't build it for less. So come in soon, sign up. All right. What, I don't know what this is. What is this? I think it's this. Built from the blueprint of a Roomba robot vacuum, meet the Create Three educational robot. iRobot's new mobile robot development platform for learning ROS2. A canvas for your creativity, the Create Three arrives pre-assembled and ready to go with a suite of smart technology. Program the Create Three to perform simple behaviors, sounds, and movements to grasp the fundamentals of robotics, computer science, and engineering. Or tap into advanced applications, including autonomous localization, navigation, and telepresence. The Create Three lets you mountain power paler, connect and run third-party hardware, use its cargo bay for storage, and dock the robot on its home-based charging station. As a connected robot, you can talk to the Create Three in multiple ways and choose between running ROS2, the iRobot coding app, or iRobot Education's Python web playground. Looking for ways to get started? Explore the iRobot Education Learning Library for basic tutorials and sample projects. Or check out the 3D simulation of the Create Three using Ignition Gizibo, or the iRobot coding app for increased access to robotics education and research. What will you create? Okay, watch this. This is the bangle.js2, and this is really cool. When I saw this watch, I'm like, this is sweet. I'm gonna show it on the overhead, actually, because of course you want to see the watch. So it's got the sharp memory display. So here's something interesting. So you see how this display is still on, but it's really dark. So this is a display that, I can see it, but you can't because it's like the polarization of the screen. It's all tough to see, but you can still read the, right? You can read that. It's always on screen, but it's not yank. It's got like, it's a little bit like the pebble two or three, I think, had a screen like this. And when you press the button, it does turn on the backlight. It's, I think, a good nine-bit color screen or something. And this is running Esperino. So, hold on, I have to remember how to make it do stuff. Okay, so there's a capacitive touch screen, and there's all these programs that you can, this is, I think, actually running Esperino. So you can reprogram it over BLE, and it's got like temperature reading data, and you can just have data scroll through. Looks like there's actually a bug in the app. Oh well, probably shouldn't have done something I didn't know. Oh wait, there you go. So you can write custom apps for this in JavaScript using Esperino, which is super cool. They had a watch before. That was a little chunkier. And this one is, an off-the-shelf watch, I think it's called the QA3 or something. There's a heart rate sensor, there's temperature sensor, I think barometric pressure and all that. So you can do heart rates and blood oxygen. But what's really interesting is there's a little magnetic cable that, of course, I have it plugged into my computer and you can bring it with me. That plugs onto here, and this actually is power ground, so you can charge the watch up, of course. But then the two middle pins are SWD clock and data. So you can actually reprogram this as an NRF 52, 840, BLE microcontroller, you could install Arduino on it, you can install CircuitPython on it, you could code it directly with the Nordic NRF API. I think this is really neat. Esperino, of course, is a very easy way to reprogram it. I don't know how to get out of this app. I just got this. I just got this thing. Why am I making it? Maybe it doesn't quit. But you got the button, capacitive touch screen. I think it's like 200 by 200 pixels. Program it using the Esperino Bluetooth app. Maybe we'll do a little video where we show how to do that, because this is kind of interesting. And the processor inside is the Cortex M4 NRF 52, 840, with one megabyte of Flash 256K of RAM, and it's also got additional eight megabytes of SPI flash memory storage as well. So all the sensors and a great reverse engineering of this off the shelf watch by Esperino. So check out on Hackaday IOI. They actually have a document with all of the settings. So if you're interested in learning about the internals, you can do that there. There's also a Kickstarter that completed its funding, and so we've got this in stock now. Next up, revision. Revision, the Vemmel 7700, one of the last sensors we made before we started turning everything into STEMI QT. This is now STEMI QT-ified. So it's great for plug and play usage. We have a right angle version, and this is the flat version. So you can see the sensor is pointing straight up. It's the same PCB for both versions. Just one has the chip like rotated. And this just shows it gives you lux output. It's a really easy to use sensor. It's really reliable. And we've got circuit python and Arduino code for it. We have more of the Deluxe Delight LEDs. This is by our friend, Mark, who we've worked with and been friends with for over a decade. And we have more types available. So that was the blue round one. You can see. The round ones are like this kind of crystalline globes. They come five in a pack. We have green ones. Green ones, also spherical. And as Philby said, this is not a drill. Skulls. This is real skull shaped LEDs. White skulls that you could also paint if you wanted. If you wanted to have them. I can't think of another company besides Adafruit that you would expect to have skull LEDs. These are beautiful. I don't know what folks are gonna do with these. And that's what the cool part about is. That's gonna be neat. It's gonna be neat. It's gonna be interesting. There's gonna be like cool macro photography with them. They are fantastic. I love them. Goth. Good work, Mark. Skull. And we'll have Mark on one of our shows in some way, shape, or form. And we're also gonna do a whole bunch of other additional photos. These are nice too. We also showed the crystal one. It's a crystal shape last week. And we have more permutations on the way. Mark is deciding if there's enough demand, all sorts of different ideas and designs. I think there was a request for dragon shaped ones. Maybe that'll happen. Who knows? Folks pick them up. And if you use the code, we could tell Mark, hey, these are selling like not hotcakes. They're selling like deluxe, delight LEDs. Which- Like skull cakes. Like skull cakes. All right. And start this show besides you, Lady Aida, our team, our city, our customers, our staff, our community is? The VL53L4CX. So this is another time of flight sensor from ST. And you're probably like, aren't there like eight of these by now? And the answer is yes, there's about eight of them. And they all look very similar, but this one is actually kind of neat in that it is a very long distance one. So far that previously, the longest distance it could do was four meters. The VL53L4CX can do six meter distance and it can do multi-target. So that means it can actually detect if there's two objects at different distances within its range of vision, which I think is about 18 degrees. Right now, there's only an Arduino library and I will mention the Arduino library is really like chunky. So it can't run in an UNO, you really do need like a Cortex M0 and for ESP32, but they do have a library written for this sensor. I just got it working yesterday pretty much. And it's got an amazing range of 10 millimeters to 6,000 millimeters. It can actually go a little bit under 10 millimeters, but it's no longer linear. The multi-target is cool too. We're chatting with Liz and we've said this would be a great sensor for making like a laser harp, but it could also be used for robotics if you wanna do like distance sensing, but against six meters away, it's really far away. I could also do, I think, if you wanna make a digital measurement device, what's it called, like a tape measure, like a laser tape measure. A distance sensor? A distance sensor, but like not, usually distance sensors aren't that precise. This one is precise to a couple millimeters. So check it out, it's the same format as our other VL53 sensors, but again, we don't have circuit Python or Python code. As of yet, we're gonna start writing that library, hopefully soon. That's new products.