SKU: 68756012029
uppababy cozy ganoosh navy

uppababy cozy ganoosh navy UPPAbaby CozyGanoosh Footmuff

Sale price$24.56 Regular price$27.29
Save 10%

Pay in installments of $6.82 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 20 - Jul 25

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

uppababy cozy ganoosh navy UPPAbaby CozyGanoosh FootmuffThe UPPAbaby CozyGanoosh Footmuff is designed to keep your child warm and cozy during chilly weather. Made with ultra plush fleece lining, this footmuff offers substantial warmth and comfort with a temperature rating of 5F ( 20C). It features a full coverage neck warmer and an adjustable hood that can be rolled back when not in use, ensuring your little one stays comfortable in any situation. For growing children, the CozyGanoosh includes a zip out

The UPPAbaby CozyGanoosh Footmuff is designed to keep your child warm and cozy during chilly weather. Made with ultra-plush fleece lining, this footmuff offers substantial warmth and comfort with a temperature rating of -5°F (-20°C). It features a full coverage neck warmer and an adjustable hood that can be rolled back when not in use, ensuring your little one stays comfortable in any situation. For growing children, the CozyGanoosh includes a zip-out extension, making it compatible with the RumbleSeat when zipped up. 

Its windproof and water-repellent material provides protection against the elements, while the interior foot barrier helps manage restless legs and messy footwear. With easy attachment using hook and loop slots and grips to prevent sliding, this footmuff is also machine washable for effortless cleaning. The CozyGanoosh is compatible with all UPPAbaby stroller models, including Vista, Cruz, Ridge, Minu, G-Series, and RumbleSeat, making it an essential accessory for parents on the go.

UPPAbaby® was founded by parents who know firsthand the demands of modern parenting, and their mission is to redefine baby gear with a perfect blend of style, functionality, and quality. Since 2006, they’ve been committed to creating innovative, high-performance products that not only meet but exceed the needs of families, inspired by their own journey and the invaluable feedback from their ever-growing community of parents.

UPPAbaby CozyGanoosh Footmuff Features:

  • Ultimate Warmth: Ultra-plush fleece lining provides substantial warmth with a comfort rating of -5°F / -20°C, keeping your child cozy in cold weather.

  • Full Coverage Neck Warmer: Includes an adjustable neck warmer and hood for extra protection against the elements, ensuring your child stays warm and comfortable.

  • Zip-Out Extension: Designed for growing children, the zip-out extension makes the footmuff compatible with the RumbleSeat when zipped up.

  • Convenient Hood Design: The hood can roll over the back of the stroller and out of the way when not in use, allowing for easy access.

  • Magnetic Neck Warmer: The neck warmer conveniently folds over the bumper bar and connects using magnetic snaps when not in use, enhancing usability.

  • Weather Protection: Made with windproof and water-repellent material to shield your child from cold weather conditions.

  • Interior Foot Barrier: Features an interior foot barrier to keep restless legs comfortable and manage messy footwear.

  • Secure Attachment: Easily attaches to the stroller using hook and loop slots and grips, preventing sliding once in place while accommodating a five-point harness.

  • Machine Washable: Designed for easy maintenance, the footmuff is machine washable, making clean-up simple.

  • Stroller Compatibility: Compatible with all UPPAbaby stroller models, including Vista, Cruz, Ridge, Minu, G-Series, and RumbleSeat, making it a versatile accessory for parents.

See Entire UPPAbaby Collection

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
  • If time is of the essence, please consider selecting expedited delivery for faster service.
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: 68756012029

Discover Niche Categories That Outsell uppababy cozy ganoosh navy

Top-Converting Item to Boost Your Average Order

4.2 ★★★★★
Based on 29 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
J
Jiewen Wang
Lake Worth, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Omaha, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Houston, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Omaha, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Bozeman, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025

recommand products