Traphouse x Bubble Ft. Jammer (BBK) on Friday 28th December 2018
Brown Sugah Music and Bubble are joining forces, presenting a collaborative night to end the year with a bang. These two collectives have become notorious within club circuits all over the UK. Bubble have taken their sophisticated signature mash-up of House, UK Garage, Bassline and Grime around the country as far as Bristol and Edinburgh, whilst Brown Sugar has thrown nights in Leeds frequently. These two collectives are no strangers to turning a club into a party, and the time has finally come for them to combine their genius on Brixton’s famous Phonox dancefloor.
LOTM Founder and BBK member Jammer will take centre stage on the night, bringing you the most authentic representation of what Grime is really about. Having done extensive work within the UKs Grime scene, helping some of the biggest grime acts achieve success through lord of the mics, aswell as helping take the sound worldwide we are really excited too see the energies that will be brought to the dance floor on the night.
[Special Guest] -
Keep your eyes peeled as a very special guest will be blessing the decks on the night 👀👀👀
Bubble will be doing what they do best showcasing the finest in UK club music, the collective are most known for throwing energetic club nights around London. The eclectic group have built a name for themselves with residencies in clubs all over the capital, primarily playing UK Garage whilst always representing all their influences from various genres, from Jungle to Funky to UKG you can only imagine what sort of sounds will be filling the Phonox dance floor.
BSM head honcho and Trap House resident will be bringing his familiar sets of sounds to the night. Expect all your favourite recent anthems - this guy does not hold back when in charge of the dance floor.
Music Genres: Bass Music, Bassline, Grime, UK Garage
Please note: The event information above has been added by the organiser. Whilst we try to ensure all details are up-to-date we do not make any warranty or representation as to the accuracy or completeness of the information shown.