# AfterDark Systems - Service Portfolio

**Building Intelligence Platforms on Oracle Cloud Infrastructure**

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## Company Overview

**AfterDark Systems** develops and operates production SaaS platforms for cybersecurity threat intelligence and competitive business intelligence.

**Infrastructure:** Oracle Cloud Infrastructure (OCI)
**Current Utilization:** 62% memory, ~30% CPU on compute instances
**Services:** 3 production platforms, 500K+ domains tracked, 24/7 uptime
**Founded:** 2024

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## Platform 1: DNSScience.io
### Cybersecurity Threat Intelligence Platform

**What it does:**
Real-time domain reputation analysis, threat feed aggregation, and DNS monitoring for security teams.

**Target Market:**
- Security Operations Centers (SOCs)
- Managed Security Service Providers (MSSPs)
- Enterprise IT Security Teams
- Threat Intelligence Analysts

**Technical Highlights:**
- **500,000+ domains** actively monitored
- **15+ threat intelligence feeds** (via DarkAPI.io integration)
- **13 background daemons** for real-time processing
- **PostgreSQL database** with streaming replication ready
- **API-first architecture** with token-based authentication
- **30+ domains/minute** ingestion rate

**Key Features:**
- Domain reputation scoring
- Threat feed ingestion and correlation
- DNS change detection and alerting
- WHOIS data tracking
- Real-time risk assessment
- RESTful API for integrations

**Current Status:** ✅ Production (dnsscience.io)
**Revenue Model:** Freemium + API subscriptions
**Tiers:** Free, Professional ($29.99/mo), Enterprise ($99.99/mo)

---

## Platform 2: DomainShots.ai
### AI-Powered Competitive Intelligence Platform

**What it does:**
Automated website monitoring with visual change detection, competitor tracking, and AI-powered analysis for business intelligence teams.

**Target Market:**
- Product Managers tracking competitors
- Marketing teams monitoring campaigns
- Sales teams gathering competitive intelligence
- Agencies managing client websites
- E-commerce businesses tracking pricing

**Technical Highlights:**
- **Playwright headless browser** automation
- **AI vision models** (Fal.ai integration) for change categorization
- **Visual diff engine** with pixel-level comparison
- **Multi-device captures** (desktop, mobile, tablet)
- **Scheduled monitoring** (hourly to yearly frequencies)
- **Webhook system** with HMAC security for real-time alerts

**Key Features:**
- Real-time website screenshots
- AI-powered change detection (layout, content, pricing, design)
- Competitor tracking dashboard
- Visual diff highlighting with red overlay
- Automated alerts (email, webhook, Slack integration)
- Watch lists with scheduled captures
- API tokens with tiered rate limiting

**AI Categories Detected:**
- Layout changes (page structure)
- Content updates (text, media)
- Pricing changes (costs, plans)
- Design updates (styling, branding)
- Feature launches (new functionality)
- Navigation changes (menus, links)

**Current Status:** 🚀 v3.0 Built, Production Deployment Pending
**Revenue Model:** Freemium + Premium subscriptions
**Tiers:**
- Free: 5 screenshots/month
- Starter: $9.99/mo (100 screenshots)
- Professional: $29.99/mo (500 screenshots + AI analysis)
- Enterprise: $99.99/mo (unlimited + competitive intelligence)

---

## Platform 3: n8nWorkflo.ws
### Workflow Automation & Integration Platform

**What it does:**
Custom workflow automation connecting DNSScience and DomainShots with 400+ external services.

**Use Cases:**
- Automated threat intelligence workflows
- Screenshot capture triggers
- Alert routing and enrichment
- Data pipeline orchestration
- API integration management

**Current Status:** ✅ Production (n8nworkflo.ws)
**Purpose:** Internal automation + client custom workflows

---

## Technology Stack

### Infrastructure (All on Oracle Cloud)
```
Cloud Provider:    Oracle Cloud Infrastructure (OCI)
Compute:           Standard instances (x86)
Database:          PostgreSQL 13 (local installation)
Reverse Proxy:     Caddy 2.x (Docker)
Monitoring:        Grafana + Prometheus + Node Exporter
Container Runtime: Docker
Operating System:  Oracle Linux 8
```

### Application Layer
```
Backend:           Python 3.9 + Flask
WSGI Server:       Gunicorn (4 workers per service)
Task Queue:        Redis
Automation:        Playwright (headless browsers)
AI/ML:             Fal.ai API (vision models)
Image Processing:  PIL/Pillow
```

### Current Resource Usage
```
Memory:    38.6 GB / 62 GB (62% utilized)
CPU:       ~30% average utilization
Disk:      Low-moderate I/O
Network:   Minimal latency
Uptime:    99.9% (DNSScience production)
```

---

## Business Value Propositions

### For Security Teams (DNSScience.io)
**Problem:** Security teams struggle to aggregate threat intelligence from multiple sources and correlate domain reputation data.

**Solution:** DNSScience provides a unified API for domain reputation, threat feeds, and DNS monitoring.

**Value:**
- ✅ Reduce manual threat research by 80%
- ✅ Detect malicious domains before they impact your network
- ✅ Automate threat feed correlation across 15+ sources
- ✅ API-first design integrates with existing SIEM/SOAR platforms

**Price Point:** $99.99/mo (Enterprise) vs. $500-2000/mo competitors

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### For Business Intelligence (DomainShots.ai)
**Problem:** Product and marketing teams manually check competitor websites, missing changes and wasting time.

**Solution:** DomainShots automatically monitors competitors, detects changes, and alerts teams in real-time.

**Value:**
- ✅ Know when competitors update pricing (within hours)
- ✅ Track feature launches automatically
- ✅ Visual proof of website changes over time
- ✅ AI categorizes what changed (pricing, design, content)

**Price Point:** $99.99/mo (Enterprise) vs. $200-500/mo competitors

---

## Growth Trajectory

### Current (January 2026)
- ✅ DNSScience.io in production (500K domains)
- ✅ DomainShots.ai v3.0 built (pending deployment)
- ✅ Infrastructure monitoring with Grafana
- ✅ Automated threat intelligence pipeline

### Q1 2026
- [ ] DomainShots.ai production launch
- [ ] First paying customers (both platforms)
- [ ] Scale to 1M+ domains (DNSScience)
- [ ] Kubernetes migration for auto-scaling

### Q2-Q4 2026
- [ ] Multi-region deployment
- [ ] Enterprise customer acquisition
- [ ] API partnership integrations
- [ ] ARM instance evaluation (Oracle Cloud)

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## Why Oracle Cloud?

**Current Reasons:**
1. **Compute performance** - Consistent, predictable resources
2. **Network reliability** - Low latency for DNS operations
3. **PostgreSQL compatibility** - Easy database deployment
4. **Pricing transparency** - No surprise bills

**Future Considerations:**
1. **ARM instances** - Potential cost savings for compute-heavy workloads
2. **Object storage** - Scalable screenshot storage (DomainShots)
3. **Load balancing** - High availability for production services
4. **Managed databases** - PostgreSQL as a service
5. **Auto-scaling** - Dynamic resource allocation

---

## Technical Differentiators

### What Makes Us Different

**1. We Build Production Systems**
- Not hobby projects - real SaaS platforms
- 24/7 uptime requirements
- API-first architecture
- Enterprise-grade security

**2. Full-Stack Technical Depth**
- Infrastructure (OCI, Docker, Caddy)
- Backend (Python, Flask, PostgreSQL)
- Automation (Playwright, n8n)
- AI/ML (Fal.ai integration)
- Monitoring (Grafana, Prometheus)

**3. Domain Expertise**
- DNS and cybersecurity
- Competitive intelligence
- Workflow automation
- API design and integration

**4. Pragmatic Architecture**
- Start lean, scale when needed
- Optimize for developer velocity
- Use managed services strategically
- Monitor everything

---

## Partnership Opportunities

### For Oracle Cloud

**Value We Bring:**
1. **Case Study Potential** - Real SaaS platforms built on OCI
2. **Technical Validation** - Production workloads proving platform capability
3. **Growth Customer** - Scaling from single instance to multi-region
4. **API Ecosystem** - Potential integrations with Oracle services

**What We Need:**
1. **ARM Instance Access** - Evaluate cost/performance for workloads
2. **Object Storage Credits** - Scale screenshot storage (DomainShots)
3. **Technical Support** - Architecture review for scaling
4. **Co-marketing** - "Built on Oracle Cloud" positioning

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## Contact & Links

**Infrastructure:**
- Primary IP: 129.153.158.177
- DNS: ns1-4.p201.dns.oraclecloud.net
- Monitoring: Grafana dashboard (internal)

**Production Services:**
- DNSScience.io: https://dnsscience.io (planned)
- DomainShots.ai: https://domainshots.ai (pending deployment)
- n8nWorkflo.ws: https://n8nworkflo.ws (planned)

**Source Code:**
- GitHub: https://github.com/straticus1/domainshots.ai (private)

**Technical Documentation:**
- Infrastructure Architecture: See INFRASTRUCTURE.md
- Deployment Guide: See DEPLOY_TO_PRODUCTION.md
- Competitive Intelligence Features: See COMPETITIVE_INTELLIGENCE.md

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## Meeting Preparation - Key Talking Points

### If They Ask: "What do you run on Oracle Cloud?"

**Answer:**
"We're running three production SaaS platforms - a cybersecurity threat intelligence platform tracking 500,000 domains, and a competitive intelligence platform with AI-powered website monitoring. All on Oracle Cloud with PostgreSQL, Docker, and automated monitoring. Currently at about 62% memory utilization with room to scale."

### If They Pitch: "You should try ARM instances"

**Response:**
"Interesting - what's the price/performance compared to x86 for our workload? We're running Python/Flask APIs, PostgreSQL, and Playwright for headless browsers. I'd be open to benchmarking if there are cost savings without sacrificing performance. Any case studies with similar workloads?"

### If They Ask: "How much are you spending?"

**Counter:**
"We're lean right now, but we're architecting for scale. Once we hit our first 1,000 paying customers, we'll need multi-region deployment, load balancing, and probably managed PostgreSQL. We're evaluating Oracle Cloud vs. AWS vs. Azure for that next phase. What would Oracle's pricing look like at that scale?"

### The Flip: "Actually, we should talk about partnership"

**Pitch:**
"DNSScience and DomainShots could be valuable for Oracle's customers - especially in cybersecurity and competitive intelligence. Would Oracle be interested in a technical partnership or co-marketing opportunity? We could be a showcase for 'Built on Oracle Cloud' positioning."

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**Last Updated:** January 9, 2026
**Prepared For:** Oracle Cloud Infrastructure Meeting
**Maintained By:** Ryan / AfterDark Systems