SKU: 61052990566

QA1 27 Series Stock Mount Monotube Shock Absorber - Hyperscrew - 5-13 Valving - Steel

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Description

QA1 27 Series Stock Mount Monotube Shock Absorber - Hyperscrew - 5-13 Valving - SteelThe 27 Series is a brand new stock mount monotube shock. Featuring a zinc plated body, 46 MM hard anodized piston and multiple valving options, the 27 Series works like our tried and true 26 Series, but with stock mount option. They are zinc plated for corrosion resistance, and are a popular choice for street stocks, hobby stocks, mini stocks and other classes that require a stock mount shock. These shocks are available with Hyperscrew (27 Series), or

The 27 Series is a brand new stock mount monotube shock. Featuring a zinc plated body, 46 MM hard anodized piston and multiple valving options, the 27 Series works like our tried and true 26 Series, but with stock mount option. They are zinc plated for corrosion resistance, and are a popular choice for street stocks, hobby stocks, mini stocks and other classes that require a stock mount shock. These shocks are available with Hyperscrew (27 Series), or Sealed Hyperscrew (27A Series) (IMCA Southern Sport Mod legal) Hyperscrew. The damping curve allows for complete control of suspension at low shaft speeds without creating extreme forces at high shaft velocities. Linear valving provides a more stable car and allows the driver to feel the car better. They are racer revalveable and rebuildable, designed for unparalleled repeatability. Made in the USA, these shocks are 100% dyno tested & serialized.

  • Ideal for classes that require stock shock mounting locations to be retained
  • Every QA1 shock is dyno-tested and serialized to guarantee peak performance
  • Multiple valving curve and gas charging options
  • Racer rebuildable and revalveable
  • Made in the USA

This Part Fits:

Year Make Model Submodel
1978-1987 Buick Regal Base
1988 Buick Regal Custom
1982-1983 Buick Regal Estate Wagon
1987 Buick Regal GNX
1984-1987 Buick Regal Grand National
1978-1988 Buick Regal Limited
1982 Buick Regal Limited Turbo
1978-1982 Buick Regal Sport
1983-1986 Buick Regal T-Type
1970-1980 Chevrolet Camaro Base
1979-1981 Chevrolet Camaro Berlinetta
1973-1978 Chevrolet Camaro LT
1976-1978 Chevrolet Camaro LT Rally Sport
1976-1980 Chevrolet Camaro Rally Sport
1970-1973,1975 Chevrolet Camaro RS
1981 Chevrolet Camaro Sport
1970-1972 Chevrolet Camaro SS
1970-1974,1977-1981 Chevrolet Camaro Z28
1978-1981 Chevrolet Malibu Base
1978-1983 Chevrolet Malibu Classic
1978-1980 Chevrolet Malibu Classic Estate
1978-1981 Chevrolet Malibu Classic Landau
1979-1980 Chevrolet Malibu Classic Sport
1979-1980 Chevrolet Malibu Estate
1979 Chevrolet Malibu Landau
1979 Chevrolet Malibu Police
1979-1980 Chevrolet Malibu Sport
1979,1981-1988 Chevrolet Monte Carlo Base
1983 Chevrolet Monte Carlo CL
1978-1981 Chevrolet Monte Carlo Landau
1986-1988 Chevrolet Monte Carlo LS
1978,1980 Chevrolet Monte Carlo Sport
1983-1988 Chevrolet Monte Carlo SS
1980 Oldsmobile Cutlass Base
1980-1981 Oldsmobile Cutlass Brougham
1980-1981 Oldsmobile Cutlass LS
1978-1979 Oldsmobile Cutlass Vista Cruiser
1979 Oldsmobile Cutlass Vista Cruiser Brougham
1970-1981 Pontiac Firebird Base
1970-1981 Pontiac Firebird Esprit
1970-1981 Pontiac Firebird Formula
1970-1981 Pontiac Firebird Trans Am
Shipping Notes
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SKU: 61052990566

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4.1 ★★★★★
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Product Reviews
A
Allen Wyma
Battle Creek, US
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
O
Om S
Charlottesville, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Cuba, 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
Port Orchard, 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
Los Angeles, 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

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