Full Bio
Naz-Sect Publishing is an independent music licensing and publishing company specializing in positive clean Hip-hop, Pop, and R&B style music. We control both sides (masters and publishing) to an awesome and growing catalog. Our tunes are sample free, royalty free, authentic sounding and ready for placement immediately.
The company is currently managed by Stanley N. Straughter, Candice N. Straughter and Joseph M. Smith.
Since late 2015 until October of 2019, Naz-Sect Publishing has been on hiatus. Now that the break is over, Stanley has decided to once again help independent artists and producers learn the business, obtain placements and hopefully gain some solid income.
One of our previous writers Dre Marshall had a co-write credit on the single “Beast” performed by Mia Martina featuring Waka Flaka Flame which has MILLIONS of plays on YouTube. Dre Marshall also co-wrote the single by the artist Massari “Shisha” featuring French Montana. This single also has MILLIONS of plays on YouTube.
In (2012) we received a BMI Urban Music Award for achievement in the song “Good Feeling” performed by FLO RIDA. This song was co-written by our previous writer Breyan Isaac and currently has hundreds of Millions of plays on YouTube. “Good Feeling” has also been certified multiplatinum in the USA by the RIAA.
We’ve also had music placed with several brands including on VH1’s “Chrissy and Mr. Jones” show , “Diary of a Wimpy Kid 3”, Just Dance 4 Video Game, The Voice, “Wreck it Ralph” Trailer, Fashion Star TV Show, Americas Got Talent, Tooth Tunes (musical toothbrush), TAP TAP REVENGE (app game), Trailer for “Think Like a Man” , New MTV Series “Caged”, HBO “24/7 Flyers / Rangers: Road to the Winter Classic”, Television New Zealand, VH1 Pepsi Fan Jam, The Bachelor Promo, Red Carpet Golden Globe Event, Dancing with the Stars, Ellen Degeneres Show, USA Network, NBC Universal, American Idol, Fox Sports, NFL Films, ABC Network, WWE, Inc., MTV2, NBC Sports, Eurosport2 and AlliSports.com
The Hookblast Podcast is a weekly, 10-minute show where we discover a few new catchy songs - all sourced using Music Xray's proprietary combination of music analysis software, machine learning, crowd-sourcing of industry professionals, and fan feedback.