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MatchCoach
Sports Tech • Video Intelligence

Full-Stack Video Intelligence for Athletic Facilities

Orderly Systems built MatchCoach so athletic facilities never lose a moment of footage and coaches stop wasting hours on cameras and editing. Live streams, AI-found highlights, and clip exports all flow from one shared system, web and iOS.

MatchCoach platform in use at a tennis facility

Overview

MatchCoach serves tennis clubs, sports academies, and training centers where coaches and players rely on video to review technique. The footage was always there in raw camera feeds, but the work of capturing, finding, and clipping the right moments fell on humans. Orderly Systems built the full video intelligence platform from the ground up so live streaming, scheduled recordings, AI highlight detection, and clip export all run on the same backbone, web and iOS.

Zero
Quality loss, copy-only streaming
8+
Concurrent streams per facility
Real-time
Live streaming on web and mobile
Automated
AI highlights and scheduled recordings

The Challenge

MatchCoach needed one platform that turned raw camera feeds into live streams, recordings, and shareable highlights, without making coaches into camera operators or video editors and without ripping out the cameras already on the wall.

Stream live video from multiple cameras to web and mobile
Record on demand with minimal latency and zero quality loss
Detect highlights automatically using computer vision
Export clips with branding overlays for sharing
Manage access through tiered membership classes
Schedule recordings automatically for recurring events

The system had to scale across facilities, handle multiple cameras streaming and recording at once, and slot into existing IP cameras and NVRs. Orderly Systems owned the full path: capture, stream, record, find, clip, share.

Our Approach

Orderly Systems delivered in four phases, validating each one before adding the next.

Phase 1: Foundation

Established the streaming pipeline and core API first. Validated live streaming and recording workflows before layering on AI and collaboration features.

Phase 2: Application Layer

Built the NestJS backend and Next.js web app. Authentication, workspace management, and video metadata. iOS app followed with shared API contracts.

Phase 3: Intelligence & Automation

Integrated computer vision pipelines for highlight detection. Added export worker, scheduled recording Lambda, and SuperAdmin portal.

Phase 4: Polish & Scale

Focused on performance (AVPlayer optimizations, HLS buffering), UX (unified components, optimistic updates), and observability.

Key Deliverables

Live Streaming & Recording

  • Multi-camera streaming
  • Zero-transcoding segment duplication
  • HLS adaptive delivery
  • Database-driven config

Video Intelligence

  • AI highlight detection
  • Manual & wearable triggers
  • Annotation system with favorites
  • Export integration

Web Application

  • Admin portal & dashboard
  • Membership classes
  • Video player with comments
  • Downloads panel

iOS Application

  • SwiftUI architecture
  • Video library & live streams
  • AVPlayer optimizations
  • Sharing & onboarding

SuperAdmin Portal

  • Stream management
  • Camera settings
  • Analytics & recordings
  • Geo-restricted access

Export Pipeline

  • Worker-based FFmpeg processing
  • Clip extraction with overlays
  • S3 presigned downloads
  • Status tracking

Outcomes

Zero

Quality loss, copy-only streaming preserves full fidelity

8+

Concurrent streams per facility, no camera limits

Real-time

Live streaming and playback on web and mobile

Automated

AI highlight detection and scheduled recordings, no manual work

Unified

Web and iOS share same data, coaches review from anywhere

Multi-facility

Scale across locations with per-facility isolation

MatchCoach now has one shared backbone for everything video. Streams, recordings, highlights, and clips run through the same system. Coaches review from web or iOS. New facilities plug in without rebuilding the platform. The hours coaches used to spend on cameras now go back to coaching.

“Orderly Systems delivered a complete platform from the ground up. The team's technical depth and phased approach made it easy to validate each phase before moving forward. We now have a production system that scales across our facilities.”

MC
Director of Product

MatchCoach

Technologies Used

Next.js 14ReactTypeScriptTailwindCSSHLS.jsNestJSFastAPINode.js 20+SwiftUISwift Package ManagerAVPlayerGStreamerFFmpegHLSRTSPPythonMLflowPyTorchComputer VisionAWSECSLambdaS3Terraform

Is your team stuck inside tools that should run themselves?

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