Portfolio / goPredict — Automated Game Prediction System for Live Streaming Engagement

goPredict — Automated Game Prediction System for Live Streaming Engagement

Company
Duration: 3 months
Team: 3 members
Product Domain: Real-time gaming interaction system

Quick project snapshot

We built goPredict as a real-time prediction system for streamers that turns passive viewing into active engagement using live game data, automatically generating and resolving predictions during gameplay.


Automated prediction engine driven by real-time game events: 01
Live viewer engagement through interactive prediction mechanics: 02
Zero-click interaction via voice activation and stream integration: 03
Cross-platform support (Twitch, YouTube Gaming, Kick): 04
Designed to extend viewer engagement from seconds to long interactive sessions: 05

What needed fixing

Streamers struggle to maintain engagement without disrupting gameplay flow:

[ PROBLEM ]

Passive viewing behavior
Low interaction from audiences
Manual prediction tools
Require constant streamer attention
Lack of real-time interaction system
No unified game-driven engagement layer
Engagement decay
Attention drops during long sessions
Focus disruption
Streamers distracted by manual interaction management
No scalable engagement layer
Limited cross-platform interaction tools

Audience attention remains fragmented and short-lived.

What we aimed for

[ GOAL ]

Build a fully automated engagement system that turns live streams into interactive experiences:

[ GOAL ]

Auto-generated predictions
resolve core functionality blockers
Real-time outcome resolution
trigger instant results via data feeds
Zero streamer interaction
remove manual participation requirements
Passive engagement scaling
increase viewer interaction without interrupting gameplay
Cross-platform system
deploy across multiple streaming platforms

How we solved it

We built goPredict as a real-time interaction layer on top of live game and streaming data.

[ Key principles ]

[ 01 ]
Live event data ingestion
real-time capture of in-game actions and signals
[ 02 ]
Automated prediction system
triggers predictions dynamically during gameplay
[ 03 ]
Instant resolution engine
delivers real-time outcomes with low latency
[ 04 ]
Zero-click control layer
voice activation and OBS integration for seamless use
[ 05 ]
Low-latency cross-platform architecture
optimized for stable real-time performance

What we built

[ SOLUTION ]

Real-Time Prediction Engine

Automated predictions generated from live game states and events
Instant triggers embedded into gameplay flow

RESULT

Continuous automated stream engagement

Live Data Integration Layer

Real-time connections to Twitch, YouTube Gaming, and Kick
Millisecond-level sync with in-game events

RESULT

Accurate prediction triggering and resolution

Zero-Click Streamer Interface

Voice control and automated actions remove manual interaction
OBS-ready overlays for seamless integration

RESULT

Full engagement control without disrupting gameplay

Prediction Management System

Configurable prediction types, frequency, and rules
Streamer-defined interaction styles

RESULT

Flexible engagement setup per stream

Analytics & Engagement Layer

Tracks participation, prediction activity, and engagement duration
Provides behavioral insights and interaction patterns

RESULT

Measurable engagement optimization

Results

Business impact

10–20%

of viewers actively participated in live predictions during tests

Increased viewer engagement from passive watching to active participation

Extended average viewing sessions through continuous interaction loops

Positive streamer feedback on automation and ease of use

Strong early validation at TwitchCon with 40+ streamer sign-ups

[ Technical results ]

Fully automated prediction engine operational on live CS2 streams
Real-time synchronization with game data and streaming platforms
Successful OBS overlay integration with minimal performance impact
Voice activation system enabling zero-click interaction
Cross-platform architecture prepared for Twitch, YouTube Gaming, and Kick

Team and tools

[ TEAM & TECH ]

Delivered by a multidisciplinary team of product managers, engineers, designers, and business developers with deep experience in esports platforms, live systems, and streaming technology.

Real-Time Game Data APIs
Streaming Integrations (Twitch, YouTube Gaming, Kick)
Node.JS
OBS Integration Layer
WebSocket
UI/UX Systems for Live Interaction

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