#!/usr/bin/env python3 """ Investor Pitch Deck Generator Creates HTML presentation from metrics and financial data Author: Alexa Amundson Copyright: BlackRoad OS, Inc. """ import json from datetime import datetime def load_all_data(): """Load all necessary data files""" data = {} files = { 'kpis': '../kpis.json', 'history': '../complete_history.json', 'financial': 'revenue_projections.json', 'investor': 'investor_deck_data.json' } for key, path in files.items(): try: with open(path, 'r') as f: data[key] = json.load(f) except FileNotFoundError: print(f"āš ļø {path} not found") data[key] = {} return data def generate_pitch_deck_html(data): """Generate complete pitch deck as HTML presentation""" kpis = data.get('kpis', {}).get('data', {}) history = data.get('history', {}).get('data', {}) financial = data.get('financial', {}).get('data', {}) investor = data.get('investor', {}).get('slide_data', {}) html = """ BlackRoad OS - Investor Pitch Deck """ # Slide 1: Title html += """

BlackRoad OS

"The road isn't made. It's remembered."

AI Infrastructure & Multi-Agent Orchestration

Investor Presentation

""" + datetime.now().strftime('%B %Y') + """

Ā© 2023-2025 BlackRoad OS, Inc.
1
""" # Slide 2: The Problem html += """

The Problem

2
""" # Slide 3: The Solution html += """

The Solution

šŸ¤–

Multi-Agent

76 autonomous agents working in harmony with 94.2% success rate

šŸ”’

PS-SHA-āˆž

Cryptographic verification with infinite audit trails

āš”

Edge-First

40% cost reduction via local inference with cloud fallback

šŸ’¬

Conversational

Natural language deployment and DevOps automation

3
""" # Slide 4: Traction eng = kpis.get('engineering', {}) ops = kpis.get('operations', {}) html += f"""

Traction

$26.8M
Revenue Generated
1.38M
Lines of Code
{eng.get('total_repositories', 53)}
Active Repositories
76
AI Agents
{ops.get('uptime_percentage', 99.7)}%
Uptime
$5M
Proprietary IP Value
4
""" # Slide 5: Revenue Model if financial and 'projections' in financial: proj = financial['projections'].get('total_projections', {}) y1_real = proj.get('year_1_realistic', {}) y3_real = proj.get('year_3_realistic', {}) html += f"""

Revenue Model

Revenue Stream Year 1 Year 3
Employment Income ${y1_real.get('breakdown', {}).get('job', 180000):,} ${y3_real.get('breakdown', {}).get('job', 200000):,}
Open Source Sponsorships ${y1_real.get('breakdown', {}).get('sponsorships', 6000):,} ${y3_real.get('breakdown', {}).get('sponsorships', 30000):,}
Commercial Licensing ${y1_real.get('breakdown', {}).get('licensing', 50000):,} ${y3_real.get('breakdown', {}).get('licensing', 150000):,}
Consulting & Integration ${y1_real.get('breakdown', {}).get('consulting', 100000):,} ${y3_real.get('breakdown', {}).get('consulting', 200000):,}
Priority Support ${y1_real.get('breakdown', {}).get('support', 60000):,} ${y3_real.get('breakdown', {}).get('support', 120000):,}
SaaS Platform ${y1_real.get('breakdown', {}).get('saas', 60000):,} ${y3_real.get('breakdown', {}).get('saas', 250000):,}
Total ${y1_real.get('total_annual', 456000):,} ${y3_real.get('total_annual', 950000):,}

Profit Margins: 85-99% (low overhead, high value)

5
""" # Slide 6: Market Opportunity html += """

Market Opportunity

Total Addressable Market (TAM)

AI infrastructure market projected at $200B by 2030

Serviceable Addressable Market (SAM)

Enterprise AI orchestration & edge computing: $25B by 2028

Serviceable Obtainable Market (SOM)

Target 0.1% market share: $25M annual revenue

6
""" # Slide 7: Competitive Advantages html += """

Competitive Advantages

7
""" # Slide 8: Roadmap html += """

Roadmap

Q1 2025
Launch Monetization
GitHub Sponsors, commercial licensing, first $1K MRR
Q2 2025
Scale Services
Consulting packages, priority support, first $10K MRR
Q3-Q4 2025
SaaS Launch
Multi-agent platform beta, reach $20K MRR, full-time transition
2026
Scale to $1M ARR
Enterprise deals, platform scaling, team expansion
2027
Series A
$3.5M revenue, proven market fit, ready for acceleration
8
""" # Slide 9: Team html += """

Team

Alexa Louise Amundson

Founder & Chief Architect

Advisory Board: Actively building relationships with AI/ML and enterprise infrastructure leaders

9
""" # Slide 10: The Ask html += """

The Ask

Seeking: Strategic partners and/or funding

Use of Funds:

  • āœ“ Full-time development on BlackRoad OS
  • āœ“ Sales & marketing acceleration
  • āœ“ Enterprise partnership development
  • āœ“ Infrastructure scaling
  • āœ“ Team expansion (2-3 key hires)

Let's build the future of AI infrastructure together.

Let's Talk
10
""" # Slide 11: Contact html += """

Contact

Alexa Amundson

Founder & CEO, BlackRoad OS, Inc.

šŸ“§ blackroad.systems@gmail.com

šŸŒ blackroad.io

šŸ’¼ linkedin.com/in/alexaamundson

šŸ™ github.com/blackboxprogramming

šŸ“ Lakeville, Minnesota

Ā© 2023-2025 BlackRoad OS, Inc. All Rights Reserved. | Confidential
11
""" html += """ """ return html def main(): print("šŸ“Š Generating investor pitch deck...") data = load_all_data() html = generate_pitch_deck_html(data) with open('pitch_deck.html', 'w') as f: f.write(html) print("āœ… Pitch deck generated: financial/pitch_deck.html") print("\nšŸ“‹ To use:") print(" 1. Open pitch_deck.html in browser") print(" 2. Present in fullscreen mode") print(" 3. Print to PDF for distribution") print(" 4. Send to: investors, partners, advisors") print("\nĀ© 2023-2025 BlackRoad OS, Inc. - Confidential") if __name__ == "__main__": main()