Roadmap
Phase 1 – Core Infrastructure & MVP Development
Foundation & Architecture
Design system architecture (extension + local storage + AI processing pipeline)
Finalize technology stack (React, TypeScript, Tailwind, Vite, Chrome Extension APIs)
Build initial Chrome Extension manifest (V3)
Security & Privacy
Implement Chrome Storage API with namespaced keys
Local-first data persistence (no external transmission)
Add extension permissions with least-privilege principle
Phase 2 – Data Collection Expansion & UI/UX Layer
Core Features – Phase 2
Implement search query tracking (Google, Bing, DuckDuckGo, Yahoo)
Add user interaction tracking:
Click events on interactive elements
Scroll depth milestones (25%, 50%, 75%, 100%)
Hover tracking with throttling
Form submissions and input field focus
Analytics Dashboard
Build OptionsPage with React + Tailwind
History view with timeline and raw data JSON explorer
Overview dashboard: total visits, unique sites, time spent, top domains
Tabbed interface for analytics categories (History, Overview, Searches, Interactions)
Technical Enhancements
Implement modular content script injection on all pages
Add mutation observers for SPA compatibility
Optimize content scripts with throttling and debouncing
Phase 3 – AI Integration & Advanced Analytics
AI-Powered Insights
Integrate Google Gemini API via secure background service
Implement prompt engineering for behavioral summarization
AI Summary Tab:
Productivity score (0–100)
Social media usage vs. work-related browsing
Time analysis (peak hours, session length, active periods)
Inferred interests and browsing categories
Privacy & Security Enhancements
Add cookie monitoring (all cookies + change detection)
Third-party cookie flagging and SameSite attribute analysis
Privacy score calculation and improvement recommendations
Add CSP (Content Security Policy) enforcement
Performance Optimizations
Lazy load analytics modules
Batch storage writes to reduce I/O load
Memory management for large datasets
Export feature (JSON with timestamped datasets)
Phase 4 – E-commerce Tracking & Public Release
E-commerce Tracking
Detect and parse product views on Amazon, Flipkart, eBay, Walmart, Target
Extract product metadata:
Name, price, brand, category, rating, availability
Detect e-commerce events:
Add to cart, checkout, search queries, wishlist interactions
AI-based product affinity detection and shopping behavior analysis
User Management
Tracking toggle and data deletion controls
JSON export of full data (compliant with data portability regulations)
Consent banner and onboarding flow for first-time users
Extension Release
Public release on Chrome Web Store
Metadata submission (screenshots, privacy policy, manifest review)
Initial marketing campaign and documentation launch
Phase 5 – Post-Launch, Developer Tools & Extensibility
Developer Platform
Create plugin architecture for custom trackers (e.g., ecommerce verticals, niche platforms)
Public API for read-only access to user analytics
CLI-based export and analysis tools (Node.js SDK)
Advanced Features
Behavioral trend prediction using AI
Anomaly detection for browsing activity
Productivity assistant (time budget warnings, focus summaries)
Sync & Monetization (Optional Opt-In)
Encrypted cloud sync for users who opt in
Token-based reward system for sharing anonymized data
Monetization portal with user-controlled data licensing options
Ongoing – Maintenance & Compliance
Regular browser compatibility checks (Chrome, Edge, Brave)
Security audits (scripts, APIs, AI prompts)
Extension manifest updates as Chrome APIs evolve
GDPR/CCPA compliance verification
Extension telemetry (opt-in and anonymized) for performance feedback.
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