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🧠 PlayHero Platform — AI-Native Growth Operating System

PlayHero is an AI-powered growth operating system built for modern SaaS teams.
It unifies GTM planning, website intelligence, and AI-generated hero sections into a single platform.

This public repo provides a high-level overview, architecture, screenshots, and product direction.
The full production code lives in a private monorepo while the platform is in active development.


🚀 Overview

PlayHero brings together three connected AI applications:

PlayGTM

GTM planning intelligence, pipeline modeling, scenario planning, anomaly detection, and the Rallyboard execution canvas.

WebUX

AI website analyzer for UX clarity, CRO insights, competitor benchmarking, whitespace discovery, and messaging diagnostics.

SiteHero

An AI hero section generator for marketers, founders, and product-led teams — transforming prompt → image + copy + production-ready code.

All three apps share a unified design system (DSv1), multi-agent automation layer, and a common AI/Next.js infrastructure.


🧩 Platform Architecture

playhero-platform
├── apps
│   ├── playgtm (GTM intelligence + planning engine)
│   ├── webux (AI UX analyzer + CRO insights)
│   └── sitehero (AI hero generator)
│
├── packages
│   ├── design-system (DSv1)
│   ├── ui-components
│   ├── analytics
│   └── utils
│
├── services
│   ├── agents (multi-agent tick loop)
│   ├── pipeline-intelligence
│   ├── anomaly-detection
│   └── workflows
│
└── infra
    ├── supabase (auth, DB, RLS, real-time)
    ├── vercel (deploy, edge functions)
    └── workflows (GitHub Actions)

🏗 Tech Stack

  • Next.js 15 (App Router, RSC)
  • Vercel (deploy, edge runtime, AI SDK)
  • Supabase (Postgres, auth, RLS, real-time sync)
  • Tailwind CSS + shadcn/ui
  • pnpm monorepo
  • TypeScript
  • Multi-agent AI systems

🎯 Core Capabilities

  • GTM planning & pipeline modeling
  • Rallyboard execution canvas
  • Blitz Mode (AI speed-to-pipeline engine)
  • Website UX intelligence & CRO insights
  • Competitor benchmarking & whitespace analysis
  • AI-generated hero sections (image + copy + code)
  • Unified DSv1 design system across all apps
  • Multi-agent automation layer (tick loops + workflows)
  • Real-time collaboration via Supabase

🗺 Current Areas of Development

  • DSv1 design system refinement
  • PlayGTM scenario modeling + anomaly detection
  • Rallyboard multi-user collaboration
  • Blitz Mode AI play sequencing
  • WebUX competitive insights expansion
  • SiteHero AI template engine

🔗 Live Applications


📬 Contact

Mike Greeves — Founder, PlayHero


Always building, always shipping.

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Public overview of the PlayHero Platform — architecture, screenshots, docs.

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