SKU: 27708299871

Fret Tang Nippers

Sale price$49.50 Regular price$55.00
Save 10%

Pay in installments of $13.75 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 22 - Aug 27

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Fret Tang NippersOur Fret Tang Nipper makes undercutting fretwire quick and effortless, perfect for speeding up fretwork on bound necks while protecting lacquer finishes on unbound fretboards. This tool precisely trims fret tangs to fit over neck bindings. Simply insert the fretwire into the guide notch, squeeze the handle, and achieve a clean undercutwithout bending or crimping. Also Great for Unbound Fingerboards Try trimming the fret tang before installation. This

Our Fret Tang Nipper makes undercutting fretwire quick and effortless, perfect for speeding up fretwork on bound necks while protecting lacquer finishes on unbound fretboards.

This tool precisely trims fret tangs to fit over neck bindings. Simply insert the fretwire into the guide notch, squeeze the handle, and achieve a clean undercut—without bending or crimping.

Also Great for Unbound Fingerboards

Try trimming the fret tang before installation. This minimizes cutting and filing of the overhanging crown, reducing the chance of fret twist and lifting.

Features:

  • Hardened steel blades stay sharp for clean cuts
  • Rubber-coated handle for a secure, comfortable grip
  • 7-3/4” (197mm) length for optimal control
  • Interchangeable tables for different fretwire widths:
  • Medium: 0.075” to 0.095” (1.90mm to 2.41mm)
  • Large: 0.095” to 0.110” (2.41mm to 2.79mm)

For best results:

After nipping, smooth the cut edges with our Fret End Dressing File or Nut and Saddle Shaping Files to ensure perfect seating over the binding.

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: 27708299871

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 20 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
D
Verified Purchase
David Escobar
San Leandro, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Port Orchard, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Omaha, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
B
Verified Purchase
B. Black
Boise, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
J
Joe Faith
New York, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025

recommand products