Sync the moment, share the experience
Problems
- rank target audience: wedding guests, wedding videographers, multi-cast podcasters, music bands and their fans, sports content creators and workout people
- anyone else to consider? what problems do these people have and what's the overlap?
- how to handle for normalized quality audio
Rough scratch
- multi-camera recording (OS and device agnostic Android, Iphone, Meta Glasses, VR, AR)
- Low friction camera adding
- give any creator the tool set to have multi camera live creation with auto AI enabled
- auto switch
- timestamp sync
- multi-audio management
- live feed into audio devices such as musical instruments, DJ sound boards, concert venue hardware
- moment gather data on devices, device quality, recording temperature (overheating concerns)
- Opportunity audiences/domains: wedding,
- Use WebRTC RTCP timestamps + periodic audio clap/handshake; correct drift in post with per-track resampling
- host creates a “moment”; others join via QR or text or app invite;
- aim for frictionless set up
- Director Service: live grid, tap-to-switch, simple Auto-Switch v1 on voice activity or face size or cut cooldown and feature manual override
- AI Camera Guidance Service
- Moment Capture Service - automatic cloud assembly: align by timecode; render a rough-cut (highlights, 60/120-sec recap), plus deliverables per camera
- Tech stack discovery so far , LiveKit (SFU) & WebRTC; mobile in Kotlin/Compose & SwiftUI; lightweight on-device models (MediaPipe/MLKit/CoreML); backend in Go/Rust/Node; object store (S3/GCS) + queue; ffmpeg for stitching
- Ultimate goal is to beat “manual shoot + AirDrop + CapCut rough cut in 10 min”, if not looking promising, bail on this bruh