Portfolio / Maincast — Real-Time Broadcast Infrastructure for Esports Production

Maincast — Real-Time Infrastructure forEsports Production

Company
Duration: 8 months
Team: 4 members
Product Domain: Live broadcasting & production systems

Quick project snapshot

We designed and built a real-time broadcasting infrastructure for Maincast — connecting live game data, Twitch analytics, production graphics, and streaming workflows into a unified esports production system.


Real-time Twitch analytics & chat tracking: 01
Live Dota 2 and CS:GO data parsing: 02
Dynamic FullHD broadcast graphics engine: 03
vMix & Twitch workflow integrations: 04
Sub-second synchronization between data and overlays: 05

What needed fixing

Maincast’s broadcast workflow was not built for modern esports production demands:

[ PROBLEM ]

Disconnected real-time data sources
Twitch, game servers, and broadcast systems operated in silos
Lack of live in-game stats
Commentators had no reliable real-time data during matches
Manual broadcast operations
Overlays, captions, and stats required constant manual management
Limited viewer interaction
Audiences were restricted to passive viewing experiences
Scalability constraints
Systems struggled under high-load international broadcasts

Teams relied on manual coordination and workarounds, increasing overhead and reducing broadcast quality.

What we aimed for

[ GOAL ]

Build a unified real-time broadcasting system for esports without sacrificing latency or stability:

[ GOAL ]

Unified data pipeline
combine Twitch, game, and external data sources
Real-time commentator insights
deliver live analytics for production teams
Automated broadcast graphics
dynamic, data-driven rendering system
Interactive viewer layer
increase engagement through live interaction
Low-latency stability
ensure performance at large-scale tournaments

How we solved it

We built a production-grade real-time system focused on reliability, sync accuracy, and simplicity for live broadcasts.

[ Key principles ]

[ 01 ]
End-to-end workflow mapping
defined the full pipeline from data ingestion to on-stream output
[ 02 ]
Unified real-time data layer
combined Twitch, Steam, and external APIs into a low-latency system
[ 03 ]
Isolated graphics engine
ensured stable and consistent broadcast rendering
[ 04 ]
Automated overlay system
generated live visuals directly from game event data
[ 05 ]
Live stress validation
tested in real tournament conditions for latency and stability

What we built

[ SOLUTION ]

Twitch analytics & interactive extensions

Live viewership, chat, and stream performance tracking
Interactive Twitch extensions + production dashboards

RESULT

More engaging broadcasts with real-time insights

Live match data parsing (Dota 2 & CS:GO)

Real-time extraction of match events and player stats
Low-latency delivery to broadcast tools

RESULT

Instant in-game insights for commentators

Dynamic broadcast graphics engine

FullHD multi-layer system for captions, stats, and overlays
Managed via production control console

RESULT

Automated graphics without disrupting live production

Streaming & production integrations

Sync across Twitch workflows and vMix infrastructure
Unified real-time data -> broadcast output

RESULT

Perfectly aligned visuals and live data

Results

Business impact

Higher viewer engagement through interactive, data-driven broadcasts

Stronger commentary enabled by real-time in-game stats

Reduced manual production effort via automation

New sponsorship opportunities through dynamic broadcast graphics

Modern production stack aligned with top-tier esports standards

[ Technical results ]

Unified real-time pipeline for Twitch, game servers, and external APIs with no performance loss
Sub-second delivery of match data to overlays and commentator tools
Stable FullHD multi-layer graphics under high broadcast load
Full compatibility with vMix production workflows
Scalable system for major international esports events

Client's feedback

[ TESTIMONIAL ]

27 NERDS quickly understood the specifics of live broadcasting and real-time data workflows. They built tools that supported our production team and improved in-stream engagement, without requiring constant explanation or iterations.

Valeriia Voronova

CPO & CMO, Maincast

Team and tools

[ TEAM & TECH ]

Delivered by a cross-functional team of frontend and backend engineers, UI/UX designers, and analytics specialists with experience building real-time tools for live streaming environments.