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Epic: PrivyLoop - Privacy Dashboard Implementation #1

Description

@AustinZ21

Overview

Implementation of PrivyLoop, an open source privacy monitoring platform with dual deployment models (self-hosted + cloud service). The system automates privacy settings analysis across major platforms using browser extension scraping, AI-powered explanations, and a comprehensive dashboard for change tracking.

Architecture Decisions

Monorepo Structure

  • Single repository with Business Source License for dual deployment model
  • Feature flagging system to enable/disable cloud vs self-hosted features
  • Package-based organization: core, enterprise, web, extension, shared

Technology Stack

  • Frontend: Next.js 15 with shadCN/ui components and Tailwind CSS
  • Backend: Next.js API routes with Drizzle ORM
  • Database: PostgreSQL (self-hosted) vs Supabase (cloud)
  • AI Processing: Google Gemini API for privacy analysis
  • Browser Extension: Manifest V3 with secure, scalable architecture

Deployment Strategy

  • Self-hosted: Docker Compose with minimal dependencies (PostgreSQL only)
  • Cloud service: Vercel + Supabase + managed services
  • Pricing model: Free (3 cards) → Pro ($4.99/mo) → Premium ($7.8/mo with AI agent)

Implementation Strategy

Phase 1: MVP (Months 1-6)

  1. Core monorepo structure and feature flagging
  2. Basic dashboard with 3-platform support (Google, Facebook, LinkedIn)
  3. Browser extension with security architecture
  4. Self-hosted Docker deployment
  5. Cloud service with Free/Pro tiers

Phase 2: Scale & AI Agent (Months 7-12)

  1. Premium tier with LangGraph + Inngest AI agent
  2. Advanced analytics and reporting
  3. Additional platform support (5+ platforms)
  4. Enterprise features and compliance

Task Breakdown

Task Summary:

  • Total tasks: 10
  • Parallel tasks: 5 (001, 004, 006, 007, 008)
  • Sequential tasks: 5 (002, 003, 005, 009, 010)
  • Estimated total effort: 26-33 days (208-264 developer hours)

Critical Path: 001 → 002 → 003 → 007 → 009 → 010 (foundation → database → auth → extension → integration → deployment)

Success Criteria (Technical)

Performance Benchmarks

  • Dashboard Load Time: <2s on 3G networks
  • Extension Response: <500ms for privacy page scanning
  • Database Queries: <200ms for dashboard data retrieval
  • API Response: <1s for AI analysis generation

Quality Gates

  • Test Coverage: >80% unit test coverage, >70% integration coverage
  • Security Scan: No high/critical vulnerabilities in security audit
  • Extension Approval: Successful submission to Chrome Web Store and Firefox
  • Accessibility: WCAG 2.1 AA compliance verification

Business Metrics

  • Self-hosted Adoption: 100+ GitHub stars, 50+ Docker pulls within 3 months
  • Cloud Service Growth: 1,000+ registered users, 60% 30-day retention
  • Platform Coverage: 3+ major platforms with 95%+ accuracy in MVP

📋 Epic created from: docs/privyloop-PRD.md

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