The Africa Kit Appeal

We are no longer accepting donations on behalf of the Africa Kit Appeal.
Since 2018, hundreds of cyclists have poured their support behind the Africa Kit Appeal, and on behalf of the riders who've benefited from the incredible generosity of cyclists just like you we'd like to say thank you for your amazing support.
Between the donations and the messages we've received, it's demonstrated the incredible community spirit shared by all of us who ride bikes.

We're proud to be supporting The Africa Kit Appeal, which supports the development of cycling in Africa. The charity was launched in January, 2016 by Matt Brammeier - then a professional cyclist for the World's first African Pro Tour team, Dimension Data.

The concept is simple: ask cycling enthusiasts around the globe to donate their unwanted cycling kit to local drop off points. Attaquer is pleased to be accepting kits (not only Attaquer kits!) via post and will take responsibility for getting them to Africa, where it will be used to help young African cyclists realise their goal of one day representing their respective national teams.

Matt was inspired by Rwandan team mate Adrian Niyonshuti's bicycle academy back home and his incredible achievements, in spite of the horror that was the Rwandan genocide. The potential of Rwandan cyclists is immense, but so too is the need for support.

We want to thank you for donating

To thank you for donating to The Africa Kit Appeal, Attaquer will send you a 20% coupon that can be used to purchase new kit for yourself on our website. To donate, simply click this link to print off and complete your donation form.

In order to maximise the benefit of the appeal, we want to ensure that the kit donated is still worthy of use. Please note that in order to qualify for the discount, donated kit must be:

  • Please only send jerseys and bib knicks
  • Washed and dried
  • Be in wearable condition (for example, worn out or see-through bib knicks cannot be accepted)
  • Free of any damage from crashes or otherwise