SKU: 73528758915
bugaboo stock

bugaboo stock Bugaboo

Sale price$18.32 Regular price$20.35
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Ships within 48 hours · Estimated delivery Sep 1 - Sep 6

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Description

bugaboo stock BugabooThe single to double stroller that can go anywhere. It lets you smoothly stroll on all terrains, with superior comfort from birth. It's the first ever tandem stroller made with eco friendly materials, including 100% durable recycled outer fabrics reducing environmental impact by 33%. Top features Convertible to a tandem stroller with sibling seat (sold separately) XL wheels and optimal suspension system One hand fold with a self standing design One

The single-to-double stroller that can go anywhere. It lets you smoothly stroll on all terrains, with superior comfort from birth. It's the first-ever tandem stroller made with eco-friendly materials, including 100% durable recycled outer fabrics — reducing environmental impact by 33%.

Top features

  • Convertible to a tandem stroller with sibling seat (sold separately)

  • XL wheels and optimal suspension system

  • One-hand fold with a self-standing design

  • One hand to adjust handlebar or recline seat

  • High padded seat with adjustable footrest

  • XL underseat basket holds 28.6 lbs (13 kg)

  • Extendable, height-adjustable sun canopy

  • Travel system-ready (car seat adapters included)

  • Add a bassinet or car seat (sold separately) to stroll with a newborn from birth

  • Add the Bugaboo wheeled board (sold separately) to bring an older kid along

Specifications

Stroller weight (fully assembled) 28.77 lbs (13.05 kg)
Age range For toddlers, from 6 months to about 4 years (max. 50 lbs)
Category Single-to-double stroller

Dimensions

Wheels Front: 8.5 inches. Rear: 12 inches 


Folded (L x W x H)

One-piece self-standing fold 19.6 x 24.4 x 38.1 inches
Two-piece compact fold 36.22 x 20.87 x 14.17 inches 

In-use (L x W x H)

In-use dimensions 39.3 x 24.4 x 44.49 inches 
Seat height (from ground) 24.8 inches 

Materials

Outer fabric 100% recycled polyester on select colors, regular polyester on others
Handlebar grips 100% vegetarian leather

What's in the Box

Stroller base

The hardware for your Bugaboo Kangaroo. Includes chassis, wheels, wheel caps, and grips.

Seat

Reversible and reclinable seat, with a reflective five-point comfort harness and adjustable seat footrest. Includes seat/bassinet frame, seat fabric, seat hardware, and rotating carry handle.

Bassinet fabric

With breezy panels for breathability and visibility which can be closed for warmth. Includes bassinet stiffener, bassinet bottom, and bassinet fabric set.

PureBreeze™ mattress

With dual sides and enhanced breathability for year-round comfort.

Sun canopy

Extendable and height-adjustable, with UPF 50+ protection and a peek-a-boo panel. Includes wires and clamps.

Underseat basket

Main basket holds maximum 28.6 lbs (13 kg). Total capacity 18.4 gallons (70 L).

Car seat adapters

Compatible with Bugaboo Turtle Air Shield by Nuna and many infant car seats for a seamless transition between car and stroller. Check our Bugaboo Kangaroo car seat adapters page for a full compatibility list.
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 73528758915

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Amazon Customer
Natrona Heights, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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MrGee
Phoenix, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Boise, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Grantham, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Phoenix, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024

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