SKU: 47413083933
foxrox pedals

foxrox pedals Foxrox Captain Coconut

Sale price$19.65 Regular price$21.83
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Description

foxrox pedals Foxrox Captain CoconutOctave, Vibe and Fuzz effects in one unit. Captain Coconut brought together three of the most sought after effects in one easy to use, reliable and great sounding box. All faithful reproductions of vintage effect circuitry, fine tuned for the best sounds and added flexibility. Born out of a desire to make the pedal that would let him quit his day job, Dave of Foxrox contacted Mike from Analogman to get his opinion on what would sell. By the next

Octave, Vibe and Fuzz effects in one unit. Captain Coconut brought together three of the most sought-after effects in one easy to use, reliable and great sounding box. All faithful reproductions of vintage effect circuitry, fine-tuned for the best sounds and added flexibility.

Born out of a desire to make the pedal that would let him quit his day job, Dave of Foxrox contacted Mike from Analogman to get his opinion on what would sell. By the next summer he had his first prototype and the rest is history. 

Octave effect - Classic octave doubler fuzz. Get that "Purple Haze," "One Rainy Wish" upper octave effect. Earthy, flutey tone. Just like the Tycobrahe Octavia.

Provibe effect - Original vibe effect. Lush 3-D phasing chorus effect for that "Machine Gun", "Bridge of Sighs" swishy vibe sound. Center control allows you to dial in all the greatest vibe tones. Switch selects between CHORUS and VIBRATO modes. Just like the Univibe.

FuzzFoot effect - Classic British Germanium PNP circuit with some much needed improvements. Sounds great with wah wah pedal. Get all the greatest fuzz sounds with GRIT knob for variable sputter. Cleans up great with guitar volume knob. Ultimate version of classic FuzzFace effect.

  • Relays used for true bypass signal switching
  • Status indicator LED's
  • Super-clean regulated / filtered power supply
  • Full signal patching provisions - insert effects, change order, etc.
  • Speed pedal jack for Provibe
  • Provibe has additional feature - Center control for fine-tuning the balance of the sweep.
  • FuzzFoot has additional feature - GRIT control for fine-tuning the amount of classic "Fuzzface sputter"
  • DIMENSIONS: L=8.7" W=5.7" x H=2.2" Add another 1.5" to the overall height for the Rubber feet and the Knobs & switches. Leave 2 - 3 inches in the back for plugs.

This sought after beauty is lightly used and will ship safely and swiftly in its original box. Give us a call at the shop with any additional questions you may have!

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SKU: 47413083933

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P. H.
Birmingham, US
★★★★★ 5
Masterful biography and history of the birth of the Red Power movement.
Format: Hardcover
Kent Blansett has broken much new ground with his masterful biography of the charismatic Richard Oakes. The book is also an astute and insightful account of the birth and rise of the Red Power Movement and the occupation of Alcatraz. Scholarly but written in an accessible style, this book will appeal to all readers.
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Reviewed in the United States on November 2, 2018
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Hashi Hanta
West Palm Beach, US
★★★★★ 5
Excelllent book
Format: Hardcover
As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
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Reviewed in the United States on February 14, 2019
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Carol
Grantham, US
★★★★★ 5
Need to read book
Format: Hardcover
The truth about the Native people. THANK YOU Kent for writing this book. We purchased about 12 total.
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Reviewed in the United States on November 24, 2019
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Walter Echo-Hawk, author of THE SEA OF GRASS.
Lexington, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
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Par
Massapequa, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024

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