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Track your watchlist across streaming services and get email alerts when your movies and shows become available.

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Watchlist Notify

Track your personal movie & TV show watchlist across streaming platforms and automatically get email alerts when titles become available on the services you already subscribe to.

Status: Beta (v0.9). Core features complete with Go backend (Gin + MongoDB + Auth0), Next.js frontend, TMDb integration, and scheduled digest email notifications via Postmark. Production-ready and deployed on Cloud Run + Vercel.

Table of Contents

  1. Vision & Features
  2. High-Level Architecture
  3. Tech Stack
  4. Local Development (Backend & Frontend)
  5. Environment Variables
  6. Authentication Flow (Auth0 + JWT Cookie)
  7. API (current + planned)
  8. Data Model
  9. Background Jobs (planned)
  10. Email Delivery (planned)
  11. Testing & Tooling
  12. Make Targets Cheat Sheet
  13. Deployment (Current & Planned)
  14. Deployment
  15. Roadmap / Milestones
  16. Contributing
  17. Maintainer & Contact
  18. License

1. Vision & Features

Problem: You maintain a list of movies / shows you want to watch, but you rarely know when they land on the services you already pay for.

Solution: Centralize your watchlist + subscription list and periodically notify you (email) when new items become streamable—reducing time spent searching and avoiding rental duplicates.

Core Features (Implemented):

  • ✅ Auth0 authentication (Google OAuth + username/password login)
  • ✅ Modern responsive UI with navigation, dashboard, and user management
  • ✅ User profile management (email, display name, picture)
  • ✅ Watchlist management (add, update, delete items with TMDb metadata)
  • ✅ Streaming service subscriptions (Netflix, Max, Prime Video, Apple TV+, etc.)
  • ✅ TMDb integration for content search and watch provider data
  • ✅ Real-time availability checking across user's subscribed services
  • ✅ Scheduled digest email notifications (configurable frequency: daily, weekly, monthly)
  • ✅ Notification preferences with customizable intervals and email selection
  • ✅ Test email functionality to preview digest emails
  • ✅ Redis caching for TMDb API responses (Upstash)
  • ✅ Production deployment on Cloud Run (API) and Vercel (Frontend)

Future Enhancements:

  • Region-specific availability (international support)
  • Multiple notification channels (push notifications, SMS)
  • Per-item instant alert toggle
  • Browser extension for 1-click adding from streaming sites
  • Public shareable lists / collaborative watchlists
  • AI-based content recommendations
  • Advanced filtering and sorting options

2. High-Level Architecture

┌─────────────────────────────────────────────────────────────┐
│ Cloudflare (DNS/Proxy/CDN)                                  │
│ watchlistnotify.com (A / CNAME -> Vercel + Cloud Run API)   │
└─────────────────────────────────────────────────────────────┘
                │
┌───────────────┴────────────────┐
│                                │
▼                                ▼
┌──────────────────┐   ┌──────────────────┐
│ Vercel (Next.js) │   │ Cloud Run (API)  │
│ Frontend         │◄─►│ Go Backend       │
└──────────────────┘   └────┬─────────────┘
                            │
    ┌───────────────────────┼───────────────────────┐
    │                       │                       │
    ▼                       ▼                       ▼
┌──────────────────┐   ┌──────────────┐   ┌────────────────────┐
│ MongoDB Atlas    │   │Upstash Redis │   │ Cloud Run Job      │
│ (Database)       │   │ (Cache)      │   │ (Digest Worker)    │
└──────────────────┘   └──────────────┘   └─────────┬──────────┘
                           │
                      Triggered by
                           │
                           ▼
                      ┌────────────────────┐
                      │ Cloud Scheduler    │
                      │ (Hourly Cron)      │
                      └─────────┬──────────┘
                                │
                          Sends emails via
                                ▼
                      ┌────────────────────┐
                      │ Postmark API       │
                      │ (Email Delivery)   │
                      └────────────────────┘

Current Hosting:

  • Frontend: Deployed on Vercel at https://watchlistnotify.com via Cloudflare DNS/proxy
  • API: Deployed on Google Cloud Run at api.watchlistnotify.com (or via subdomain)
  • Digest Worker: Cloud Run Job triggered hourly by Cloud Scheduler
  • Database: MongoDB Atlas (multi-region with automated backups)
  • Cache: Upstash Redis (managed) for TMDb API responses with graceful fallback
  • Email: Postmark for transactional emails and digest notifications
  • Domain & TLS: Managed by Cloudflare with edge caching and DDoS protection

3. Tech Stack

Backend:

  • Go 1.25+ (Gin web framework)
  • MongoDB (official Go driver)
  • Redis (Upstash managed) via go-redis client with graceful fallback
  • Auth0 (multi-provider authentication)
  • JWT (HMAC) stored in HttpOnly cookies
  • MongoDB Atlas for database (local Docker optional)
  • TMDb API (search + watch providers)
  • Postmark API (email delivery)
  • Cloud Run (API deployment)
  • Cloud Run Jobs + Cloud Scheduler (digest worker)

Frontend:

  • Next.js 15 (App Router, React 19)
  • Auth0 Next.js SDK for seamless authentication
  • Tailwind CSS 4 with modern responsive design
  • Professional UI with navigation, dashboard, search, and settings pages
  • TypeScript with ESLint configuration
  • Optimized images with Next.js Image component

Infrastructure:

  • Google Cloud Run (API service deployment)
  • Google Cloud Run Jobs (digest worker)
  • Google Cloud Scheduler (hourly digest trigger)
  • Google Artifact Registry (container images)
  • Upstash Redis (managed cache)
  • Postmark (email delivery service)
  • Vercel (frontend hosting)
  • Cloudflare (DNS, CDN, DDoS protection)

4. Local Development

Clone the repo:

git clone https://github.com/neilsmahajan/watchlist-notify.git
cd watchlist-notify

Configure MongoDB (Atlas – preferred):

  1. Create or use an existing MongoDB Atlas cluster.
  2. Allow your IP (Network Access) and create a database user with password.
  3. Copy your connection string (SRV or standard), e.g.:
    • mongodb+srv://:@/?retryWrites=true&w=majority
  4. Set MONGODB_URI in your .env (see Environment Variables below). The backend will automatically create required indexes on startup.

Optional: start a local MongoDB via Docker Compose (only if you are not using Atlas):

make docker-run

Create a .env file in the project root (see variables below) then run backend:

make run
# or with live reload (installs air if missing)
make watch

Frontend (in separate terminal):

cd frontend
pnpm install # or npm/yarn
pnpm dev

Visit: http://localhost:3000

Health endpoint (backend default):

GET http://localhost:8080/health

5. Environment Variables

Create .env in repository root (never commit secrets). A starter .example.env is provided:

cp .example.env .env

Then edit secrets. Example (adjust as needed):

# Backend
PORT=8080
BASE_URL=http://localhost:8080
FRONTEND_URL=http://localhost:3000
JWT_SECRET=replace-with-long-random-string

# Auth0 (from Auth0 Dashboard Application settings)
AUTH0_DOMAIN=your-domain.auth0.com
AUTH0_CLIENT_ID=your-auth0-client-id
AUTH0_CLIENT_SECRET=your-auth0-client-secret
AUTH0_AUDIENCE=https://api.watchlistnotify.com

# Mongo
# Preferred: Atlas connection string. If set, this takes precedence over the DB_* values below.
MONGODB_URI="mongodb+srv://dev_user:[email protected]/?retryWrites=true&w=majority"

# Fallback local development variables (used only when MONGODB_URI is not set)
DB_IMAGE=mongo:8.0.13          # optional, for docker-compose only
DB_HOST=localhost
DB_PORT=27017
DB_USERNAME=devuser            # optional
DB_ROOT_PASSWORD=devpassword   # optional
DB_DATABASE=watchlistnotify

# Cache
REDIS_URL=rediss://default:examplepassword@your-upstash-endpoint:6379
# Set to "disabled" to bypass Redis during local development

# TMDb
TMDB_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# Optional defaults (keep or set in code):
# TMDB_API_BASE=https://api.themoviedb.org/3
# TMDB_REGION=US

# Email (production)
POSTMARK_SERVER_TOKEN=your-postmark-server-token
POSTMARK_BASE_URL=https://api.postmarkapp.com/email
EMAIL_FROM=[email protected]

Frontend environment variables (create frontend/.env.local):

# Auth0 configuration for Next.js
AUTH0_SECRET='long-random-string-for-session-encryption'
AUTH0_DOMAIN='https://your-domain.auth0.com'
AUTH0_CLIENT_ID='your-auth0-client-id'
AUTH0_CLIENT_SECRET='your-auth0-client-secret'
AUTH0_AUDIENCE='https://api.watchlistnotify.com'
AUTH0_SCOPE='openid profile email'

# Backend API URL for server-side requests
BACKEND_URL='http://localhost:8080'
NEXT_PUBLIC_AUTH0_AUDIENCE='https://api.watchlistnotify.com'

6. Authentication Flow (Auth0 + JWT Cookie)

  1. Frontend redirects to Auth0 Universal Login via /auth/login
  2. User authenticates with Auth0 (Google OAuth, username/password, etc.)
  3. Auth0 redirects to /auth/callback with authorization code
  4. Backend exchanges code for tokens and user info, creates/updates user in MongoDB
  5. Backend issues signed JWT stored in HttpOnly cookie for API access
  6. Frontend can call protected endpoints (e.g. GET /api/me) with automatic cookie inclusion

Auth0 Configuration:

  • Regular Web Application with server-side token exchange
  • Custom API audience for JWT token validation
  • Post-login Action adds custom claims (email, name, picture) to access tokens
  • Support for multiple identity providers (Google, username/password)

Security Notes:

  • HttpOnly cookies prevent XSS token theft
  • Auth0 manages OAuth flows and security best practices
  • Custom claims allow backend to extract user info from JWT without additional API calls
  • CSRF protection via Auth0's state parameter and SameSite cookie attributes

7. API Documentation

Quick Reference

Interactive Documentation (Swagger UI):

  • Production: https://api.watchlistnotify.com/swagger/index.html
  • Local: http://localhost:8080/swagger/index.html

OpenAPI Specification:

  • JSON: https://api.watchlistnotify.com/swagger/doc.json
  • YAML: /docs/swagger.yaml (in repository)

Complete API Guide: See docs/API.md for comprehensive documentation including:

  • Authentication details
  • Request/response examples
  • Error handling
  • Pagination
  • Rate limiting (planned)

Endpoint Summary

Authentication Endpoints

  • GET /health – Service health check (public)

User Endpoints

  • GET /api/me – Get authenticated user profile
  • PATCH /api/me/preferences – Update user preferences (email, name, digest settings)
  • GET /api/me/services – List user's streaming service subscriptions
  • PATCH /api/me/services – Update streaming service subscriptions
  • POST /api/me/notifications/test – Send test digest email

Watchlist Endpoints

  • POST /api/watchlist – Add item to watchlist
  • GET /api/watchlist – List user's watchlist items with filters and pagination
  • PATCH /api/watchlist/:id – Update item metadata/status
  • DELETE /api/watchlist/:id – Remove item from watchlist
  • POST /api/watchlist/import – Bulk import from CSV (IMDb format)

Content Discovery

  • GET /api/search – Search movies/TV shows via TMDb
  • GET /api/availability/:id – Get streaming availability for specific title
  • POST /api/availability/batch – Batch availability check (max 500 items)

Authentication

All protected endpoints require an Auth0 JWT token in the Authorization header:

Authorization: Bearer YOUR_JWT_TOKEN

Error Format

All errors return a consistent JSON structure:

{ "error": "Descriptive error message" }

Generating API Documentation

If you modify handlers or add new endpoints, regenerate the OpenAPI spec:

# Install swag CLI (first time only)
go install github.com/swaggo/swag/cmd/swag@latest

# Generate documentation
make swagger

# Or manually
swag init -g cmd/api/main.go -o docs --parseDependency --parseInternal

The generated files (docs/docs.go, docs/swagger.json, docs/swagger.yaml) are auto-generated and git-ignored.

8. Data Model

User Collection (users)

{
  "_id": "ObjectId",
  "auth0_id": "auth0|123456",
  "email": "[email protected]",
  "name": "John Doe",
  "picture": "https://...",
  "notification_email": "[email protected]",
  "services": ["netflix", "hulu", "prime_video"],
  "digest_settings": {
    "enabled": true,
    "interval": 7,
    "interval_unit": "days",
    "last_sent_at": "2025-01-15T10:00:00Z",
    "next_scheduled_at": "2025-01-22T10:00:00Z"
  },
  "digest_consent": true,
  "created_at": "2025-01-01T12:00:00Z",
  "updated_at": "2025-01-15T10:00:00Z"
}

Watchlist Item Collection (watchlist_items)

{
  "_id": "ObjectId",
  "user_id": "ObjectId",
  "tmdb_id": 12345,
  "title": "The Matrix",
  "type": "movie",
  "year": 1999,
  "poster_path": "/poster.jpg",
  "added_at": "2025-01-10T15:30:00Z",
  "status": "want_to_watch"
}

Status Values: want_to_watch, watching, watched

9. Email Notifications

Architecture

The digest email system uses a Cloud Run Job triggered hourly by Cloud Scheduler:

  1. Cloud Scheduler triggers the digest worker every hour
  2. Digest Worker (Cloud Run Job) executes:
    • Queries users with next_scheduled_at <= now and digest_consent = true
    • For each eligible user:
      • Fetches their watchlist items
      • Checks for newly available content on their subscribed services
      • Generates personalized HTML email
      • Sends via Postmark API
      • Updates last_sent_at and recalculates next_scheduled_at

User Preferences

Users can configure:

  • Email address: Use Auth0 account email or custom email
  • Digest frequency: Every X days/weeks/months (e.g., every 7 days, every 2 weeks)
  • Consent: Enable/disable digest emails
  • Test email: Preview digest without changing schedule

Email Content

Digest emails include:

  • Newly available items with streaming service badges
  • Watchlist summary (total items, available count, watching count)
  • Call-to-action button to view full watchlist
  • Professional HTML template with responsive design
  • Unsubscribe link in footer

Deployment

The digest worker is deployed as a Cloud Run Job:

# Deploy worker
./scripts/release-worker.sh --env-file cloudrun.env

# Manual execution (testing)
gcloud run jobs execute digest-worker --region us-east1

# View logs
gcloud logging read "resource.type=cloud_run_job AND resource.labels.job_name=digest-worker" --limit 50

See cmd/digest-worker/README.md for detailed deployment and monitoring instructions.

10. Testing & Tooling

Run all tests:

make test

Integration DB tests only:

make itest

Linting (add later): golangci-lint (planned), frontend ESLint already present.

API requests (Bruno):

  • Collection lives at docs/bruno/. Open that folder in Bruno to load requests.
  • Use docs/bruno/environments/local.example.bru as a template to create local.bru (ignored). Set base_url (e.g., http://localhost:8080) and token.
  • Auth is configured at the API folder level using {{token}}. Get a token via Auth0 login flow or copy from browser dev tools after authentication.
  • All request URLs use {{base_url}}; path params can be set as variables (e.g., {{id}}).

11. Make Targets Cheat Sheet

Target Description
make all build + test
make build compile Go binary -> ./main
make run run API (no reload)
make watch run with Air live reload (auto-install)
make swagger generate OpenAPI/Swagger docs
make docker-run start Mongo via compose
make docker-down stop Mongo
make test run all Go tests
make itest run integration tests (database)
make clean remove binary
make docker-auth configure Docker auth for Artifact Reg.
make docker-build build container (linux/amd64)
make docker-push push image to Artifact Registry
make docker-build-push build and push in one step
make run-container run the image locally
make deploy deploy API to Cloud Run
make deploy-worker deploy digest worker to Cloud Run Job

Note: The docker targets are optional if you configure MONGODB_URI to use MongoDB Atlas.

12. Deployment

Frontend (Vercel)

The Next.js frontend is deployed on Vercel with automatic deployments:

Configuration:

  • Environment variables set in Vercel dashboard
  • Build command: cd frontend && pnpm install && pnpm build
  • Output directory: frontend/.next

Backend API (Cloud Run)

The Go API is deployed to Google Cloud Run:

# Build and deploy API
./scripts/release.sh --env-file cloudrun.env

# Or with Cloud Build
./scripts/release.sh --cloud-build --env-file cloudrun.env

Environment variables are loaded from cloudrun.env (not committed to git).

Deployment details:

  • Region: us-east1
  • Container: Built with Docker, pushed to Artifact Registry
  • Scaling: Min 0, Max 10 instances
  • Memory: 512Mi, CPU: 1
  • Authentication: Public endpoints + JWT-protected routes

Digest Worker (Cloud Run Job)

The digest email worker runs as a Cloud Run Job:

# Deploy worker
./scripts/release-worker.sh --env-file cloudrun.env

# Create Cloud Scheduler job (one-time setup)
gcloud scheduler jobs create http digest-worker-hourly \
  --location us-east1 \
  --schedule "0 * * * *" \
  --uri "https://us-east1-run.googleapis.com/apis/run.googleapis.com/v1/namespaces/PROJECT_ID/jobs/digest-worker:run" \
  --http-method POST \
  --oauth-service-account-email "digest-scheduler@PROJECT_ID.iam.gserviceaccount.com"

Monitoring:

# View job executions
gcloud run jobs executions list --job digest-worker --region us-east1

# View logs
gcloud logging read "resource.type=cloud_run_job AND resource.labels.job_name=digest-worker" --limit 50

# Manual execution (testing)
gcloud run jobs execute digest-worker --region us-east1

See cmd/digest-worker/README.md for detailed deployment guide.

Infrastructure Components

  • MongoDB Atlas: Managed database with automated backups
  • Upstash Redis: Managed cache for TMDb API responses
  • Postmark: Email delivery service
  • Cloudflare: DNS, CDN, and DDoS protection
  • Google Artifact Registry: Container image storage

Key Files

  • cmd/api/main.go - API server entry point
  • cmd/digest-worker/main.go - Digest worker entry point
  • internal/server/ - HTTP handlers and routing
  • internal/database/ - MongoDB repositories
  • internal/digest/ - Email generation logic
  • internal/notifications/ - Postmark integration
  • scripts/release.sh - API deployment script
  • scripts/release-worker.sh - Worker deployment script
  • Dockerfile - API container image
  • Dockerfile.worker - Worker container image
  • frontend/ - Next.js application
  • DNS / CDN / Security: Cloudflare manages DNS records (A/CNAME) and provides caching + WAF layer. Keep CORS origin list tight (production: https://watchlistnotify.com).
  • Backend: Not yet deployed; running locally during development. All auth flows redirect to local backend until production API domain exists.
  • Database: MongoDB Atlas for both dev and prod (recommended). Optional local Docker for offline development.

Planned Backend Deployment Options:

  1. Container on a managed platform (Fly.io, Render, Railway) with health checks.
  2. Kubernetes (longer-term) behind Cloudflare tunnel or load balancer.
  3. Vercel Serverless / Edge not used for Go API (needs persistent cron + background tasks) – prefer dedicated container.

Production Domain Layout (planned):

  • https://watchlistnotify.com – Next.js frontend (Vercel)
  • https://api.watchlistnotify.com – Go API (CORS restricted)
  • Optional future: https://img.watchlistnotify.com for image optimization / CDN offload.

Environment Variables (Prod Guidance):

  • Set frontend secrets / public config in Vercel Project Settings (mask sensitive keys; only expose NEXT_PUBLIC_*).
  • Store backend secrets (OAuth, JWT secret, DB URI) in platform secret manager (not in repo). Use Atlas SRV connection string with proper user.

MongoDB Atlas Setup (planned):

  • Create project & cluster (region near majority users).
  • Define database user with least privileges.
  • Enable IP access (platform egress IPs) or set up VPC peering.
  • Add indexes after schema stabilizes (watchlist item queries by user + availability state).

Security / Observability Roadmap:

  • Add structured logging (Zap or Zerolog) with request IDs.
  • Add metrics endpoint (Prometheus) behind auth / internal.
  • Add Cloudflare security rules (bot fight, rate limiting for auth endpoints).
  • Add error tracking (Sentry) & performance monitoring (OpenTelemetry) later.

Scaling Considerations:

  • Cache external provider responses (Upstash Redis) to reduce TMDb API churn; falls back to no-op cache if Redis is unreachable.
  • Batch availability lookups via job scheduler (cron + queue) to flatten burst load.

Deployment Checklist (API – future):

  1. Build image & push (tag with git SHA)
  2. Apply infra config (secrets, env, DB URL, REDIS_URL, Auth0 credentials)
  3. Run migrations / ensure indexes (script TBD)
  4. Smoke test /health via Cloudflare
  5. Flip DNS for api.watchlistnotify.com (low TTL) or enable route in Cloudflare
  6. Monitor logs & metrics for 24h
  7. Prime cache and execute an internal notification dry run once email delivery ships

13. Roadmap / Milestones

Completed (v0.9 - Beta):

  • ✅ Auth0 integration with Google OAuth and username/password login
  • ✅ Modern responsive UI with navigation, dashboard, search, profile, and settings
  • ✅ Complete watchlist CRUD functionality with TMDb metadata
  • ✅ TMDb integration for search and streaming availability
  • ✅ User profile and streaming service subscription management
  • ✅ Scheduled digest email notifications (configurable frequency)
  • ✅ Notification preferences with custom email and interval settings
  • ✅ Test email functionality
  • ✅ Production deployment (Cloud Run + Vercel)
  • ✅ Redis caching for TMDb API responses

Planned Future Enhancements:

  • v1.0.0: Public launch with polished onboarding flow
  • v1.1.0: Region-specific availability (international support)
  • v1.2.0: Per-item instant alerts (notify immediately when available)
  • v1.3.0: Browser extension for 1-click watchlist adding
  • v1.4.0: Public shareable lists and collaborative watchlists
  • v1.5.0: Advanced filtering, sorting, and AI-based recommendations
  • v2.0.0: Mobile apps (iOS/Android)

14. Contributing

Contributions are welcome! Please open an issue first to discuss major changes.

Development Workflow:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes with tests
  4. Run tests (make test)
  5. Commit with clear messages (git commit -m 'Add amazing feature')
  6. Push to your branch (git push origin feature/amazing-feature)
  7. Open a Pull Request

Code Guidelines:

  • Follow Go best practices and conventions
  • Write tests for new features
  • Update documentation for API changes
  • Use meaningful variable and function names
  • Keep functions small and focused

Local Development:

  • Use make watch for live reload during development
  • Test API endpoints with Bruno collection in docs/bruno/
  • Check logs for errors before submitting PR

15. Maintainer & Contact

Maintainer: Neil Mahajan
Links & Site: https://links.neilsmahajan.com
Personal Email: [email protected]
Project Contact: [email protected]

Security Disclosure: Email both addresses with subject [SECURITY] <short summary> and allow time for remediation before public disclosure.

16. License

Licensed under the MIT License. See LICENCE for the full text.

SPDX-License-Identifier: MIT


Questions / suggestions? Open an issue.

Appendix: Dockerfile, Apple Silicon, and Cloud Run Deployment

This repository includes a production-ready multi-stage Dockerfile at the root that builds the Go API from cmd/api into a small, distroless image exposing port 8080.

Apple Silicon (M1/M2) note:

  • Cloud Run runs linux/amd64 images. On Apple Silicon, use Docker Buildx to build with --platform linux/amd64.
  • The Makefile includes convenient targets for building and deploying.

Quick steps

  1. Authenticate and set defaults
  • gcloud auth login
  • gcloud config set project <PROJECT_ID>
  • make docker-auth PROJECT_ID=<PROJECT_ID> REGION=us-central1
  1. Build and push image (Apple Silicon friendly)
  • make docker-build-push PROJECT_ID=<PROJECT_ID> REGION=us-central1 REPO=watchlist IMAGE=api
  1. Deploy to Cloud Run
  • make deploy PROJECT_ID=<PROJECT_ID> REGION=us-central1 REPO=watchlist IMAGE=api SERVICE=watchlist-api

Required environment variables (configure on Cloud Run):

Optional: Static egress IP for MongoDB Atlas

  • Create a Serverless VPC Connector and Cloud NAT with a reserved static IP.
  • Deploy Cloud Run with that connector and set egress to "all". Allowlist the NAT IP in Atlas.

Local test

  • docker buildx build --platform linux/amd64 -t watchlist-api:dev .
  • docker run --rm -p 8080:8080
    -e PORT=8080
    -e MONGODB_URI='...'
    -e JWT_SECRET='...'
    -e TMDB_API_KEY='...'
    watchlist-api:dev

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Track your watchlist across streaming services and get email alerts when your movies and shows become available.

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