Private Repository

CS Coach

AI Counter-Strike 2 coaching platform for demo review, round analysis, voice comms, and team improvement.

Python
TypeScript
Supabase
Claude AI
Polar
Open Live App
CS Coach dashboard, 2D round viewer, and voice communication screens

Project Overview

CS Coach is built around the workflow competitive players already understand: upload a demo, inspect the round, identify mistakes, and turn review into concrete coaching.

The application combines demo parsing, 2D spatial review, AI coaching personas, voice communication mapping, team management, subscriptions, and anti-strat scouting.

The product scope covers both solo improvement and organized team review, with a technical backend capable of processing match data into coaching surfaces.

Built Around

Demo upload, parsing, and 2D round visualization.
Claude-powered coaching personas for tactical review.
Voice comms correlation against round events.
Team, subscription, anti-strat, and scouting workflows.

Product Capabilities

Round Review
Turn raw match demos into inspectable coaching context.
  • - 2D round viewer
  • - Player paths and events
  • - Utility and timing context
  • - Mistake review surfaces
AI Coaching
Persona-based feedback for different improvement goals.
  • - Claude coaching flows
  • - Tactical recommendations
  • - Review summaries
  • - Actionable drills
Team Intelligence
Team and scouting features beyond individual review.
  • - Voice comms correlation
  • - Team workflows
  • - Anti-strat scouting
  • - Subscription-ready packaging

Technical Architecture

Analysis Pipeline
  • - Python processing
  • - Demo parsing workflow
  • - Round-state modeling
  • - Voice communication mapping
Product Platform
  • - TypeScript web application
  • - Supabase backend
  • - Claude AI integration
  • - Polar billing support

Project Signals

2D
Round Viewer
Spatial review
Voice
Comms Mapping
Context correlation
Teams
Workflow Scope
Solo and organized review
Private
Repository
Product build

Interested in Learning More?

This private project reflects hands-on product, engineering, and AI workflow development across the full stack.