media-downloader/docs/FEATURE_ROADMAP_2025.md

Feature Roadmap & Enhancement Suggestions

Date: 2025-10-31 Version: 6.3.6 Status: Recommendations for Future Development

---

Overview

This document provides comprehensive suggestions for additional features, enhancements, and upgrades to evolve the Media Downloader into a world-class media management platform.

---

Priority 1: Critical Features (High Value, High Impact)

1.1 Webhook Integration System

Priority: HIGH | Effort: 6-8 hours | Value: HIGH

Description: Allow users to configure webhooks that fire on specific events (downloads completed, errors, etc.) to integrate with other systems.

Implementation:

# modules/webhook_manager.py
class WebhookManager:
    def __init__(self, config: Dict[str, Any]):
        self.webhooks = config.get('webhooks', [])

    async def fire_webhook(self, event: str, data: Dict[str, Any]):
        """Send webhook notification to configured endpoints"""
        matching_webhooks = [w for w in self.webhooks if event in w['events']]

        for webhook in matching_webhooks:
            try:
                await self._send_webhook(webhook['url'], event, data, webhook.get('secret'))
            except Exception as e:
                logger.error(f"Webhook failed: {e}")

    async def _send_webhook(self, url: str, event: str, data: Dict, secret: Optional[str]):
        """Send HTTP POST with HMAC signature"""
        payload = {
            'event': event,
            'timestamp': datetime.now().isoformat(),
            'data': data
        }

        headers = {'Content-Type': 'application/json'}
        if secret:
            signature = self._generate_hmac(payload, secret)
            headers['X-Webhook-Signature'] = signature

        async with aiohttp.ClientSession() as session:
            await session.post(url, json=payload, headers=headers, timeout=10)

Configuration Example:

{
  "webhooks": [
    {
      "name": "Discord Notifications",
      "url": "https://discord.com/api/webhooks/...",
      "events": ["download_completed", "download_error"],
      "secret": "webhook_secret_key",
      "enabled": true
    },
    {
      "name": "Home Assistant",
      "url": "http://homeassistant.local:8123/api/webhook/media",
      "events": ["download_completed"],
      "enabled": true
    }
  ]
}

Benefits:

• Integrate with Discord, Slack, Home Assistant, n8n, Zapier
• Real-time notifications to any service
• Automation workflows triggered by downloads
• Custom integrations without modifying code

---

1.2 Advanced Search & Filtering

Priority: HIGH | Effort: 8-12 hours | Value: HIGH

Description: Implement comprehensive search with filters, saved searches, and smart collections.

Features:

• Full-text search across metadata
• Date range filtering
• File size filtering
• Advanced filters (resolution, duration, quality)
• Boolean operators (AND, OR, NOT)
• Saved search queries
• Smart collections (e.g., "High-res Instagram from last week")

Implementation:

// Advanced search interface
interface AdvancedSearchQuery {
  text?: string
  platforms?: Platform[]
  sources?: string[]
  content_types?: ContentType[]
  date_range?: {
    start: string
    end: string
  }
  file_size?: {
    min?: number
    max?: number
  }
  resolution?: {
    min_width?: number
    min_height?: number
  }
  video_duration?: {
    min?: number
    max?: number
  }
  tags?: string[]
  has_duplicates?: boolean
  sort_by?: 'date' | 'size' | 'resolution' | 'relevance'
  sort_order?: 'asc' | 'desc'
}

// Saved searches
interface SavedSearch {
  id: string
  name: string
  query: AdvancedSearchQuery
  created_at: string
  last_used?: string
  is_favorite: boolean
}

UI Components:

• Advanced search modal with collapsible sections
• Search history dropdown
• Saved searches sidebar
• Quick filters (Today, This Week, High Resolution, Videos Only)

---

1.3 Duplicate Management Dashboard

Priority: HIGH | Effort: 10-12 hours | Value: HIGH

Description: Dedicated interface for reviewing and managing duplicate files with smart merge capabilities.

Features:

• Visual duplicate comparison (side-by-side)
• File hash verification
• Quality comparison (resolution, file size, bitrate)
• Bulk duplicate resolution
• Keep best quality option
• Merge metadata from duplicates
• Storage savings calculator

UI Design:

┌─────────────────────────────────────────────────────────────┐
│ Duplicates Dashboard                            230 GB saved │
├─────────────────────────────────────────────────────────────┤
│                                                               │
│ [Filter: All] [Platform: All] [Auto-resolve: Best Quality]  │
│                                                               │
│ ┌─────────────────────┬─────────────────────┐                │
│ │ Original            │ Duplicate           │                │
│ ├─────────────────────┼─────────────────────┤                │
│ │ [Image Preview]     │ [Image Preview]     │                │
│ │ 1920x1080          │ 1280x720            │                │
│ │ 2.5 MB             │ 1.8 MB              │                │
│ │ Instagram/user1    │ FastDL/user1        │                │
│ │ [Keep] [Delete]    │ [Keep] [Delete]     │                │
│ └─────────────────────┴─────────────────────┘                │
│                                                               │
│ [← Previous] [Skip] [Auto-resolve] [Next →]                 │
└─────────────────────────────────────────────────────────────┘

---

1.4 User Role-Based Access Control (RBAC)

Priority: MEDIUM | Effort: 12-16 hours | Value: HIGH

Description: Implement granular permissions system for multi-user environments.

Roles:

• Admin - Full access to everything
• Power User - Can trigger downloads, view all media, modify configurations
• User - Can view media, trigger downloads (own accounts only)
• Viewer - Read-only access to media gallery
• API User - Programmatic access with limited scope

Permissions:

PERMISSIONS = {
    'admin': ['*'],
    'power_user': [
        'media.view',
        'media.download',
        'media.delete',
        'downloads.view',
        'downloads.trigger',
        'config.view',
        'config.update',
        'scheduler.view',
        'scheduler.manage',
        'analytics.view'
    ],
    'user': [
        'media.view',
        'media.download',
        'downloads.view.own',
        'downloads.trigger.own',
        'analytics.view'
    ],
    'viewer': [
        'media.view',
        'analytics.view'
    ]
}

Implementation:

# web/backend/auth_manager.py
def require_permission(permission: str):
    """Decorator to check user permissions"""
    def decorator(func):
        async def wrapper(*args, current_user: Dict = Depends(get_current_user), **kwargs):
            if not has_permission(current_user, permission):
                raise HTTPException(status_code=403, detail="Insufficient permissions")
            return await func(*args, current_user=current_user, **kwargs)
        return wrapper
    return decorator

# Usage
@app.delete("/api/media/{file_id}")
@require_permission('media.delete')
async def delete_media(file_id: str, current_user: Dict = Depends(get_current_user)):
    # Only users with media.delete permission can access
    pass

---

Priority 2: Performance & Scalability (High Impact)

2.1 Redis Caching Layer

Priority: MEDIUM | Effort: 8-10 hours | Value: MEDIUM

Description: Add Redis for caching frequently accessed data and rate limiting.

Implementation:

# modules/cache_manager.py
import redis
import json
from typing import Optional, Any

class CacheManager:
    def __init__(self, redis_url: str = 'redis://localhost:6379'):
        self.redis = redis.from_url(redis_url, decode_responses=True)

    def get(self, key: str) -> Optional[Any]:
        """Get cached value"""
        value = self.redis.get(key)
        return json.loads(value) if value else None

    def set(self, key: str, value: Any, ttl: int = 300):
        """Set cached value with TTL"""
        self.redis.setex(key, ttl, json.dumps(value))

    def delete(self, key: str):
        """Delete cached value"""
        self.redis.delete(key)

    def clear_pattern(self, pattern: str):
        """Clear all keys matching pattern"""
        for key in self.redis.scan_iter(pattern):
            self.redis.delete(key)

# Usage in API
@app.get("/api/stats")
async def get_stats():
    cache_key = "stats:global"
    cached = cache_manager.get(cache_key)

    if cached:
        return cached

    # Compute expensive stats
    stats = compute_stats()

    # Cache for 5 minutes
    cache_manager.set(cache_key, stats, ttl=300)

    return stats

Benefits:

• 10-100x faster response times for cached data
• Reduced database load
• Session storage for scalability
• Rate limiting with sliding windows
• Pub/sub for real-time updates

---

2.2 Background Job Queue (Celery/RQ)

Priority: MEDIUM | Effort: 12-16 hours | Value: HIGH

Description: Move heavy operations to background workers for better responsiveness.

Use Cases:

• Thumbnail generation
• Video transcoding
• Metadata extraction
• Duplicate detection
• Batch operations
• Report generation

Implementation:

# modules/task_queue.py
from celery import Celery
from typing import List

celery_app = Celery('media_downloader', broker='redis://localhost:6379/0')

@celery_app.task
def generate_thumbnail(file_path: str) -> str:
    """Generate thumbnail in background"""
    thumbnail_path = create_thumbnail(file_path)
    return thumbnail_path

@celery_app.task
def process_batch_download(urls: List[str], platform: str, user_id: int):
    """Process batch download asynchronously"""
    results = []
    for url in urls:
        try:
            result = download_media(url, platform)
            results.append({'url': url, 'status': 'success', 'file': result})
        except Exception as e:
            results.append({'url': url, 'status': 'error', 'error': str(e)})

    # Notify user when complete
    notify_user(user_id, 'batch_complete', results)
    return results

# Usage in API
@app.post("/api/batch-download")
async def batch_download(urls: List[str], platform: str):
    task = process_batch_download.delay(urls, platform, current_user['id'])
    return {'task_id': task.id, 'status': 'queued'}

@app.get("/api/tasks/{task_id}")
async def get_task_status(task_id: str):
    task = celery_app.AsyncResult(task_id)
    return {
        'status': task.state,
        'result': task.result if task.ready() else None
    }

---

2.3 S3/Object Storage Support

Priority: LOW | Effort: 6-8 hours | Value: MEDIUM

Description: Support storing media in cloud object storage (S3, MinIO, Backblaze B2).

Benefits:

• Unlimited storage capacity
• Geographic redundancy
• Reduced local storage costs
• CDN integration for fast delivery
• Automatic backups

Configuration:

{
  "storage": {
    "type": "s3",
    "endpoint": "https://s3.amazonaws.com",
    "bucket": "media-downloader",
    "region": "us-east-1",
    "access_key": "AWS_ACCESS_KEY",
    "secret_key": "AWS_SECRET_KEY",
    "use_cdn": true,
    "cdn_url": "https://cdn.example.com"
  }
}

---

Priority 3: User Experience Enhancements

3.1 Progressive Web App (PWA)

Priority: MEDIUM | Effort: 4-6 hours | Value: MEDIUM

Description: Convert frontend to PWA for app-like experience on mobile.

Features:

• Installable on mobile/desktop
• Offline mode with service worker
• Push notifications (with permission)
• App icon and splash screen
• Native app feel

Implementation:

// public/service-worker.js
const CACHE_NAME = 'media-downloader-v1'
const ASSETS_TO_CACHE = [
  '/',
  '/index.html',
  '/assets/index.js',
  '/assets/index.css'
]

self.addEventListener('install', (event) => {
  event.waitUntil(
    caches.open(CACHE_NAME).then(cache => cache.addAll(ASSETS_TO_CACHE))
  )
})

self.addEventListener('fetch', (event) => {
  event.respondWith(
    caches.match(event.request).then(response =>
      response || fetch(event.request)
    )
  )
})

// public/manifest.json
{
  "name": "Media Downloader",
  "short_name": "MediaDL",
  "description": "Unified media downloading system",
  "start_url": "/",
  "display": "standalone",
  "background_color": "#0f172a",
  "theme_color": "#2563eb",
  "icons": [
    {
      "src": "/icon-192.png",
      "sizes": "192x192",
      "type": "image/png"
    },
    {
      "src": "/icon-512.png",
      "sizes": "512x512",
      "type": "image/png"
    }
  ]
}

---

3.2 Drag & Drop URL Import

Priority: LOW | Effort: 2-4 hours | Value: MEDIUM

Description: Allow users to drag URLs, text files, or browser bookmarks directly into the app.

Features:

• Drag URL from browser address bar
• Drop text file with URLs
• Paste multiple URLs (one per line)
• Auto-detect platform from URL
• Batch import support

Implementation:

// components/URLDropZone.tsx
const URLDropZone = () => {
  const handleDrop = (e: DragEvent) => {
    e.preventDefault()

    const text = e.dataTransfer?.getData('text')
    if (text) {
      const urls = text.split('\n').filter(line =>
        line.trim().match(/^https?:\/\//)
      )

      // Process URLs
      urls.forEach(url => {
        const platform = detectPlatform(url)
        if (platform) {
          queueDownload(platform, url)
        }
      })
    }
  }

  return (
    <div
      onDrop={handleDrop}
      onDragOver={(e) => e.preventDefault()}
      className="border-2 border-dashed border-blue-500 p-8 rounded-lg"
    >
      <p>Drop URLs here to download</p>
    </div>
  )
}

---

3.3 Dark/Light Theme Auto-Detection

Priority: LOW | Effort: 1-2 hours | Value: LOW

Description: Automatically detect system theme preference and sync across devices.

Implementation:

// lib/theme-manager.ts
const ThemeManager = {
  init() {
    // Check for saved preference
    const saved = localStorage.getItem('theme')
    if (saved) {
      this.setTheme(saved)
      return
    }

    // Auto-detect system preference
    const prefersDark = window.matchMedia('(prefers-color-scheme: dark)').matches
    this.setTheme(prefersDark ? 'dark' : 'light')

    // Listen for system changes
    window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', (e) => {
      if (!localStorage.getItem('theme')) {
        this.setTheme(e.matches ? 'dark' : 'light')
      }
    })
  },

  setTheme(theme: 'light' | 'dark') {
    document.documentElement.classList.toggle('dark', theme === 'dark')
    localStorage.setItem('theme', theme)
  }
}

---

3.4 Keyboard Shortcuts

Priority: LOW | Effort: 3-4 hours | Value: MEDIUM

Description: Add keyboard shortcuts for power users.

Shortcuts:

Navigation:
- Ctrl/Cmd + K: Quick search
- G then H: Go to home
- G then D: Go to downloads
- G then M: Go to media
- G then S: Go to scheduler

Actions:
- N: New download
- R: Refresh current view
- /: Focus search
- Esc: Close modal/cancel
- Ctrl + S: Save (when editing)

Media Gallery:
- Arrow keys: Navigate
- Space: Toggle selection
- Enter: Open preview
- Delete: Delete selected
- Ctrl + A: Select all

Implementation:

// lib/keyboard-shortcuts.ts
const shortcuts = {
  'ctrl+k': () => openQuickSearch(),
  'g h': () => navigate('/'),
  'g d': () => navigate('/downloads'),
  'g m': () => navigate('/media'),
  'n': () => openNewDownloadModal(),
  '/': () => focusSearch(),
}

document.addEventListener('keydown', (e) => {
  const key = [
    e.ctrlKey && 'ctrl',
    e.metaKey && 'cmd',
    e.altKey && 'alt',
    e.shiftKey && 'shift',
    e.key.toLowerCase()
  ].filter(Boolean).join('+')

  const handler = shortcuts[key]
  if (handler) {
    e.preventDefault()
    handler()
  }
})

---

Priority 4: Integration & Extensibility

4.1 Plugin System

Priority: LOW | Effort: 16-24 hours | Value: HIGH

Description: Allow users to extend functionality with custom plugins.

Plugin Types:

• Download providers (new platforms)
• Post-processors (watermark removal, resizing)
• Notifiers (custom notification channels)
• Storage adapters (custom storage backends)
• Metadata extractors

Plugin Structure:

# plugins/example_plugin.py
from media_downloader.plugin import Plugin, PluginMetadata

class ExamplePlugin(Plugin):
    metadata = PluginMetadata(
        name="Example Plugin",
        version="1.0.0",
        author="Your Name",
        description="Does something useful",
        requires=["requests>=2.28.0"]
    )

    def on_download_complete(self, download: Download):
        """Hook called when download completes"""
        print(f"Downloaded: {download.filename}")

    def on_before_save(self, file_path: str, metadata: Dict) -> Tuple[str, Dict]:
        """Hook to modify file/metadata before saving"""
        # Add watermark, resize, etc.
        return file_path, metadata

Plugin Management UI:

┌─────────────────────────────────────────────────────────┐
│ Plugins                                     [+ Install]  │
├─────────────────────────────────────────────────────────┤
│                                                           │
│ ✓ Watermark Remover                         v1.2.0      │
│   Remove watermarks from downloaded images               │
│   [Configure] [Disable]                                  │
│                                                           │
│ ✓ Reddit Downloader                         v2.1.0      │
│   Download media from Reddit posts                       │
│   [Configure] [Disable]                                  │
│                                                           │
│ ✗ Auto Uploader (Disabled)                  v1.0.0      │
│   Automatically upload to cloud storage                  │
│   [Enable] [Remove]                                      │
│                                                           │
└─────────────────────────────────────────────────────────┘

---

4.2 API Rate Limiting Dashboard

Priority: LOW | Effort: 4-6 hours | Value: LOW

Description: Visual dashboard for monitoring API rate limits.

Features:

• Current rate limit status per endpoint
• Historical rate limit data
• Alerts when approaching limits
• Rate limit recovery time
• Per-user rate limit tracking

---

4.3 Automated Testing Suite

Priority: MEDIUM | Effort: 24-32 hours | Value: HIGH

Description: Comprehensive test coverage for reliability.

Test Types:

• Unit tests (70% coverage target)
• Integration tests (API endpoints)
• E2E tests (critical user flows)
• Performance tests (load testing)
• Security tests (OWASP top 10)

Implementation:

# tests/test_downloads.py
import pytest
from fastapi.testclient import TestClient

def test_download_endpoint_requires_auth():
    response = client.get("/api/downloads")
    assert response.status_code == 401

def test_create_download():
    response = client.post("/api/downloads", json={
        "platform": "instagram",
        "source": "testuser"
    }, headers={"Authorization": f"Bearer {token}"})
    assert response.status_code == 200
    assert "id" in response.json()

def test_sql_injection_protection():
    response = client.get("/api/downloads?platform=' OR '1'='1")
    assert response.status_code in [400, 403]

---

Priority 5: Advanced Features

5.1 AI-Powered Features

Priority: LOW | Effort: 16-24 hours | Value: MEDIUM

Description: Integrate AI/ML capabilities for smart features.

Features:

• Auto-tagging: Detect people, objects, scenes
• NSFW detection: Filter inappropriate content
• Face recognition: Group by person
• Duplicate detection: Perceptual hashing for similar images
• Smart cropping: Auto-crop to best composition
• Quality enhancement: Upscaling, denoising

Implementation:

# modules/ai_processor.py
from transformers import pipeline
import torch

class AIProcessor:
    def __init__(self):
        self.tagger = pipeline("image-classification", model="microsoft/resnet-50")
        self.nsfw_detector = pipeline("image-classification", model="Falconsai/nsfw_image_detection")

    def process_image(self, image_path: str) -> Dict:
        """Process image with AI models"""
        results = {
            'tags': self.generate_tags(image_path),
            'nsfw_score': self.detect_nsfw(image_path),
            'faces': self.detect_faces(image_path)
        }
        return results

    def generate_tags(self, image_path: str) -> List[str]:
        """Generate descriptive tags"""
        predictions = self.tagger(image_path)
        return [p['label'] for p in predictions if p['score'] > 0.3]

    def detect_nsfw(self, image_path: str) -> float:
        """Return NSFW probability (0-1)"""
        result = self.nsfw_detector(image_path)
        return result[0]['score']

---

5.2 Content Moderation Tools

Priority: LOW | Effort: 8-12 hours | Value: MEDIUM

Description: Tools for reviewing and filtering content.

Features:

• NSFW content filtering
• Blacklist/whitelist for sources
• Content approval workflow
• Quarantine folder for review
• Automated rules engine

---

5.3 Media Processing Pipeline

Priority: LOW | Effort: 12-16 hours | Value: MEDIUM

Description: Configurable pipeline for processing media after download.

Pipeline Steps:

1. Validation (format, size, integrity)
2. Metadata extraction (EXIF, video codec, duration)
3. Thumbnail generation
4. AI processing (tagging, NSFW detection)
5. Format conversion (if needed)
6. Compression/optimization
7. Upload to storage
8. Database update
9. Notification

Configuration:

pipelines:
  default:
    - validate
    - extract_metadata
    - generate_thumbnail
    - detect_nsfw
    - optimize
    - save
    - notify

  instagram_stories:
    - validate
    - extract_metadata
    - generate_thumbnail
    - add_watermark
    - upload_to_cloud
    - save
    - notify

---

Priority 6: Operations & Monitoring

6.1 Prometheus Metrics Integration

Priority: MEDIUM | Effort: 6-8 hours | Value: MEDIUM

Description: Export metrics for Prometheus/Grafana monitoring.

Metrics:

• Download success/failure rates
• API request rates and latencies
• Database query performance
• Storage usage trends
• Active download tasks
• Error rates by type
• User activity metrics

Implementation:

# web/backend/metrics.py
from prometheus_client import Counter, Histogram, Gauge

# Metrics
downloads_total = Counter('downloads_total', 'Total downloads', ['platform', 'status'])
download_duration = Histogram('download_duration_seconds', 'Download duration', ['platform'])
active_downloads = Gauge('active_downloads', 'Currently active downloads')
api_requests = Counter('api_requests_total', 'API requests', ['endpoint', 'method', 'status'])
api_latency = Histogram('api_latency_seconds', 'API latency', ['endpoint'])

# Usage
@app.get("/metrics")
async def metrics():
    return Response(generate_latest(), media_type=CONTENT_TYPE_LATEST)

---

6.2 Health Check Dashboard

Priority: LOW | Effort: 4-6 hours | Value: LOW

Description: Comprehensive health monitoring dashboard.

Checks:

• Database connectivity
• Disk space
• Service availability (FlareSolverr, etc.)
• API responsiveness
• Download queue status
• Error rates
• Memory/CPU usage

---

6.3 Backup & Restore System

Priority: MEDIUM | Effort: 8-12 hours | Value: HIGH

Description: Built-in backup and restore for disaster recovery.

Features:

• Scheduled automatic backups
• Database backup
• Configuration backup
• Incremental vs full backups
• Backup retention policies
• One-click restore
• Backup verification

---

Summary Matrix

Feature	Priority	Effort	Value	Dependencies
Webhook Integration	HIGH	6-8h	HIGH	-
Advanced Search	HIGH	8-12h	HIGH	-
Duplicate Dashboard	HIGH	10-12h	HIGH	-
RBAC	MEDIUM	12-16h	HIGH	-
Redis Caching	MEDIUM	8-10h	MEDIUM	Redis
Job Queue	MEDIUM	12-16h	HIGH	Redis, Celery
S3 Storage	LOW	6-8h	MEDIUM	boto3
PWA	MEDIUM	4-6h	MEDIUM	-
Drag & Drop URLs	LOW	2-4h	MEDIUM	-
Theme Auto-detect	LOW	1-2h	LOW	-
Keyboard Shortcuts	LOW	3-4h	MEDIUM	-
Plugin System	LOW	16-24h	HIGH	-
Rate Limit Dashboard	LOW	4-6h	LOW	-
Testing Suite	MEDIUM	24-32h	HIGH	pytest
AI Features	LOW	16-24h	MEDIUM	transformers, torch
Content Moderation	LOW	8-12h	MEDIUM	-
Media Pipeline	LOW	12-16h	MEDIUM	-
Prometheus Metrics	MEDIUM	6-8h	MEDIUM	prometheus_client
Health Dashboard	LOW	4-6h	LOW	-
Backup System	MEDIUM	8-12h	HIGH	-

Total Estimated Effort: 180-260 hours

---

Recommended Implementation Order

Phase 1 (Q1 2025) - Quick Wins

1. Webhook Integration (6-8h)
2. Theme Auto-detection (1-2h)
3. Keyboard Shortcuts (3-4h)
4. Drag & Drop URLs (2-4h)

Total: 12-18 hours

Phase 2 (Q2 2025) - Core Features

1. Advanced Search & Filtering (8-12h)
2. Duplicate Management Dashboard (10-12h)
3. Redis Caching Layer (8-10h)
4. PWA Support (4-6h)

Total: 30-40 hours

Phase 3 (Q3 2025) - Enterprise Features

1. RBAC (12-16h)
2. Background Job Queue (12-16h)
3. Backup & Restore System (8-12h)
4. Testing Suite (24-32h)

Total: 56-76 hours

Phase 4 (Q4 2025) - Advanced Features

1. Plugin System (16-24h)
2. AI-Powered Features (16-24h)
3. Prometheus Metrics (6-8h)
4. S3 Storage Support (6-8h)

Total: 44-64 hours

---

Conclusion

This roadmap provides a comprehensive path to evolving the Media Downloader into a best-in-class media management platform. The suggested features address:

• User Experience: Better search, UI improvements, mobile support
• Performance: Caching, job queues, optimization
• Security: RBAC, better auth, content moderation
• Extensibility: Plugins, webhooks, API improvements
• Operations: Monitoring, backups, health checks
• Intelligence: AI features, smart automation

Prioritize based on user feedback and business goals. Quick wins in Phase 1 can provide immediate value while building toward more complex features in later phases.