# BioQL Monetization Strategy

## 🏗️ Architecture Overview

```
GitHub/PyPI (Open Source)     Your Infrastructure (Closed)
├── bioql-core               ├── bioql-auth-server
├── bioql-compiler           ├── bioql-billing-service
├── bioql-simulator          ├── bioql-cloud-gateway
└── bioql-cli                └── bioql-admin-dashboard
    ↓                             ↓
 Free Features              Premium Features (Paid API)
```

## 💡 Revenue Model Options

### 1. **API-First SaaS Model**
- **Open Source**: Core framework + local simulator
- **Paid Service**: Quantum hardware access via your API
- **Revenue**: Pay-per-shot + monthly subscriptions

```python
# Free (open source)
quantum(program, backend="simulator")  # Local only

# Paid (requires API key from your service)
quantum(program, backend="ibm_quantum", api_key="your_service")
quantum(program, backend="ionq", api_key="your_service")
```

### 2. **Freemium Limits**
```python
FREE_TIER_LIMITS = {
    "shots_per_day": 1000,
    "max_qubits": 5,
    "backends": ["simulator"]
}

PREMIUM_TIER = {
    "shots_per_day": "unlimited",
    "max_qubits": 127,
    "backends": ["all_quantum_hardware"]
}
```

### 3. **Enterprise Licensing**
- Open core for developers
- Enterprise features require license
- On-premise deployments

## 🔒 Technical Implementation

### Authentication Server (Your Control)
```python
# bioql/auth.py (modified version)
def authenticate_user(api_key: str) -> UserProfile:
    response = requests.post(
        "https://api.bioql.com/auth/validate",
        json={"api_key": api_key}
    )
    return response.json()

def check_usage_limits(user_id: str, requested_shots: int) -> bool:
    return requests.get(
        f"https://api.bioql.com/billing/check-limits/{user_id}",
        params={"shots": requested_shots}
    ).json()["allowed"]
```

### Modified Quantum Function
```python
def quantum(program: str, backend: str = "simulator",
           shots: int = 1024, api_key: str = None):

    if backend == "simulator":
        # Free local execution
        return execute_local_simulator(program, shots)

    if not api_key:
        raise AuthenticationError("API key required for quantum hardware")

    # Authenticate with your service
    user = authenticate_user(api_key)

    # Check billing limits
    if not check_usage_limits(user.id, shots):
        raise BillingError("Insufficient credits or exceeded limits")

    # Execute via your managed service
    return execute_cloud_quantum(program, backend, shots, user)
```

## 💵 Pricing Strategy

### Individual Plans
```
🆓 Developer (Free)
- 1,000 shots/day on simulator
- Up to 5 qubits
- Community support

💰 Pro ($29/month)
- 50,000 shots/month
- Real quantum hardware access
- Up to 20 qubits
- Email support

🏢 Enterprise ($299/month)
- Unlimited shots
- Priority queue access
- Up to 127 qubits
- Dedicated support + SLA
```

### Pay-Per-Use
```
Hardware Pricing:
- IBM Quantum: $0.00035/shot
- IonQ: $0.01/shot
- Your markup: 30-50%
```

## 🚀 Go-to-Market Strategy

### Phase 1: Open Source Release
```bash
# Users can install and use locally
pip install bioql

# Basic functionality works without API key
from bioql import quantum
result = quantum("Bell state", backend="simulator")
```

### Phase 2: Premium Service Launch
```python
# Register at bioql.com to get API key
# Access to real quantum hardware
result = quantum("Bell state",
                backend="ibm_brisbane",
                api_key="sk-bioql-xxx")
```

### Phase 3: Enterprise Features
- White-label deployment
- Custom quantum algorithms
- Dedicated infrastructure

## 📊 Revenue Projections

### Conservative Estimate (Year 1)
- 1,000 developers use free tier
- 100 upgrade to Pro ($29/mo) = $34,800/year
- 10 Enterprise customers ($299/mo) = $35,880/year
- **Total: ~$70K ARR**

### Growth Scenario (Year 2)
- 10,000 free users
- 500 Pro subscribers = $174K/year
- 50 Enterprise = $179K/year
- **Total: ~$350K ARR**

## 🛡️ Competitive Advantages

1. **First-mover in Bio+Quantum space**
2. **Natural language interface** (unique differentiator)
3. **Complete billing/user management** (enterprise-ready)
4. **Multi-provider abstraction** (vendor independence)
5. **Proven with 100% test success rate**

## 🔧 Technical Separation Plan

### Open Source Components (GitHub)
```
bioql/
├── compiler.py           # NLP → Quantum circuits
├── simulators.py         # Local quantum simulation
├── cli.py               # Command line interface
├── examples/            # Sample programs
└── tests/               # Unit tests
```

### Proprietary Components (Your servers)
```
bioql-cloud/
├── auth_service.py      # User authentication
├── billing_service.py   # Usage tracking & billing
├── quantum_gateway.py   # Hardware provider routing
├── admin_dashboard/     # User management UI
└── analytics/           # Usage analytics
```

## 🎯 Next Steps

1. **Separate authentication** from open source code
2. **Set up cloud infrastructure** (auth + billing APIs)
3. **Create landing page** at bioql.com
4. **Launch GitHub repo** with free tier
5. **Build waitlist** for beta users
6. **Launch on ProductHunt** for visibility

Would you like me to help implement any of these components?