QuickFeather

by QuickLogic

A 100% open source dev board for the EOS S3 low-power MCU with embedded FPGA

View all updates Aug 27, 2020

Ready to Ship!

by Brian F

Hello, backers! The good news is that all QuickFeather boards are packaged and ready to go.

The bad news is we’re running slightly behind schedule due to a logistical delay at Mouser’s warehouse - we’re waiting on confirmation that they have all the information they need to receive and then ship the QuickFeathers we send them. We expect that confirmation by Monday and will ship all QuickFeathers in bulk to the warehouse once we have it. Once received by the warehouse, all outstanding orders will ship to backers within a day or two.

In the meantime, please take this opportunity to update your shipping address, if needed.

About the Author

Brian F

brianfaith  ·   San Jose, CA


$8,243 raised

of $1 goal

Funded! Order Below

Product Choices

$59

QuickFeather

One totally open source QuickFeather board with a QuickLogic coaster and sticker, to boot.


$99

QuickFeather + SensiML AI Bundle

One totally open source QuickFeather board with a full, lifetime license to SensiML Starter Edition. You'll get a QuickLogic coaster and sticker, too.


$10

USB-to-TTL Serial Cable

This Adafruit-branded adapter provides the simplest way to program, debug, or otherwise communicate serially with QuickFeather boards.


$30

Five-pack of QuickLogic EOS S3 Chips

Five of the same system-on-chip used at the core of QuickFeather, in your choice of packaging. Note that the QFN package used on QuickFeather is being phased out in favor of the BGA package and is not recommended for new high-volume designs.


$115

QuickFeather x2

Two totally open source QuickFeather boards with two QuickLogic coasters and stickers, to boot.


$275

QuickFeather x5

Five totally open source QuickFeather boards with five QuickLogic coasters and stickers, to boot.

Credits

QuickLogic

We are a fabless semiconductor company that develops low-power, multi-core MCU, FPGAs, and embedded FPGA intellectual property (IP), voice and sensor processing.


Brian Faith

Mao Wang

Andrea Vedanayagam

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