DropRush
Creator / Development / UI/UX
Drop a folder of music into DropRush. It scans every file, detects the drop moment in each track based on waveform energy, and starts playing a 10-second preview window centered on that drop, automatically advancing through your library. Mark the tracks you want, skip the ones you don't, and walk away with a curated shortlist in a fraction of the time.
The story behind it
Ask any DJ how they actually find new music and you'll get the same answer with a tired sigh: I listen to a lot of tracks. What they mean is that they download a folder of fifty, a hundred, sometimes several hundred songs, and then sit there for hours opening each one, dragging the playhead to roughly the middle, listening for ten seconds, deciding yes, no, or maybe, and moving on. Every track decided in fifteen seconds of useful audio takes a full minute of manual work. The math gets ugly fast.
The frustrating part is that the decision itself is quick. A DJ knows within seconds of hearing a drop whether a track belongs in their set. The drop is the audition. Everything around it — the intro, the buildup, the breakdown — matters in performance but not in selection. The bottleneck isn't taste. It's the friction of getting your ears to the drop.
DropRush exists to remove that friction entirely. Point it at a folder, and it analyzes every track's waveform, locates the drop in each one, and starts auto-previewing a 10-second window right around it — track after track, no clicking, no scrubbing. You sit back and listen. Mark the ones you like with a single keystroke. Move on. A folder that used to take three hours to triage now takes under twenty minutes, and your ears spend that whole time hearing the parts that actually matter.
It's not glamorous. It's just an honest answer to "what's the slowest part of my workflow," delivered as software.
Why it matters?
The traditional track-selection workflow has a hidden cost most DJs don't measure: the time spent between the moments that actually shape a set. DropRush is built on the observation that the drop is the audition, and everything else is overhead. Cut the overhead, and you don't just save time — you listen to more music, find more gems, and build better sets because your library is broader, not just bigger.
For working DJs, content creators, label A&R, and anyone whose job involves processing music at volume, DropRush turns a three-hour task into a twenty-minute one.