DJs: your originals deserve more than SoundCloud plays.
The DJs getting booked in 2026 don't have better sets — they have better TikTok presence. Your original tracks and signature edits deserve to be in the algorithm. Autohype posts them daily.
The problem you're stuck in
You've built a set that actually tells a story. Your originals and edits are genuinely good. You're uploading to SoundCloud, maybe even Beatport. But the algorithm doesn't care about your discography — it cares about whether you're showing up every single day.
Booking agents, festival programmers, and label scouts all use TikTok to discover DJs now. A clip from a set that hits 100K views is worth more than 3 years of posting in Facebook DJ groups.
How Autohype solves this for you
- 1Upload your original track or signature edit (any dance genre — house, techno, DnB, bass, trance, garage — all covered).
- 2Auto-detects your drop or the most impactful moment of your production.
- 3Visual stack: DJ booth festival POV, crowd hands in the air, laserwall and strobe, b2b set energy, club atmosphere.
- 4Captions: 'unreleased ID I've been testing at my sets', 'the track that ended my last set', 'what's playing in the booth right now'.
- 5Posted at 10 PM local — dance music crowd is active at night.
What the daily video actually looks like
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FAQ
Can I promote DJ mix clips or only original productions?
Original productions only — DJ mixes use other artists' music and will trigger copyright claims. Autohype is for promoting your own original tracks and edits you have rights to.
Will this help me get booked at clubs and festivals?
Directly — promoters and booking agents use TikTok to vet acts before booking. A track that does real numbers on TikTok is proof of audience demand. Autohype builds that proof with daily consistent posting.
What's better — posting from my personal TikTok or a music-dedicated channel?
Autohype creates a dedicated music channel separate from your personal account. This is better for algorithm targeting — a channel that only posts music trains the algorithm to serve your content to music listeners, not a mixed personal audience.