Startup Pitch Deck Generator
Run ID: 69c94ab4fee1f7eb4a8103c22026-03-29Business
PantheraHive BOS
BOS Dashboard

Generate a complete investor pitch deck with problem statement, solution, market analysis, business model, traction, team bios, and financial projections.

Step 1: Research & Initial Information Gathering (Test Run)

Welcome to the first step of your "Startup Pitch Deck Generator" workflow! You've initiated a "Test run for startup_pitch_deck", and this phase is crucial for laying the groundwork.

Purpose of this Research Phase

This initial "collab → research" step is designed to gather comprehensive information about your startup. Even for a test run, providing detailed input will allow us to simulate the generation of a robust and compelling pitch deck. The quality and specificity of the information you provide now will directly impact the effectiveness and relevance of the final pitch deck.

We will use your input to populate the critical sections of an investor-ready pitch deck, ensuring it tells a cohesive and persuasive story about your venture.

Information Required for Your Pitch Deck

To generate a complete investor pitch deck, we need detailed information across several key areas. For this test run, please provide illustrative or placeholder data for each section.

1. Company Overview

  • Company Name:
  • Tagline / Elevator Pitch: (A concise, compelling summary of what your company does)
  • Industry / Sector: (e.g., FinTech, SaaS, BioTech, E-commerce, AI, etc.)
  • Mission Statement: (What is your company's core purpose?)

2. The Problem

  • Specific Problem: What acute pain point or inefficiency are you addressing? Be specific.
  • Target Persona: Who experiences this problem most acutely? Describe your ideal customer.
  • Current Solutions / Alternatives: How do people currently try to solve this problem (or cope with it)? What are the shortcomings of these existing methods?

3. The Solution (Your Product/Service)

  • Your Solution: Describe your product or service. How does it directly solve the problem identified?
  • Key Features & Benefits: What are the core functionalities? What tangible benefits do customers receive?
  • Unique Value Proposition (UVP): What makes your solution distinct, better, or more innovative than existing alternatives?
  • Technology (if applicable): Briefly describe any underlying technology or intellectual property.

4. Market Analysis

  • Target Market Description: Detail your primary customer segment(s) beyond the persona.
  • Market Size (TAM, SAM, SOM):

* Total Addressable Market (TAM): The total revenue opportunity if 100% of the market adopted your product.

* Serviceable Available Market (SAM): The portion of the TAM that your business model can realistically serve.

* Serviceable Obtainable Market (SOM): The portion of the SAM you can realistically capture within your first few years.

  • Market Trends / Growth: Are there any significant trends supporting your market's growth?

5. Business Model

  • Revenue Model: How will your company generate revenue? (e.g., subscription, transaction fees, freemium, ad-supported, direct sales, etc.)
  • Pricing Strategy: How do you plan to price your product/service?
  • Customer Acquisition Strategy: How will you reach and acquire your target customers? (e.g., digital marketing, partnerships, direct sales, content marketing)
  • Key Partners (if any): Are there any crucial partnerships required for your business?

6. Traction & Milestones

  • Key Achievements to Date: What significant progress have you made? (e.g., product development stages, pilot programs, user growth, revenue figures, strategic partnerships, media mentions, awards)
  • Key Metrics: What are the most important numbers that demonstrate your progress? (e.g., active users, conversion rates, customer retention, MRR/ARR, customer lifetime value)
  • Future Milestones: What are your next 3-6 critical milestones?

7. Team

  • Key Team Members: List the core individuals leading the startup.
  • Roles & Responsibilities: Briefly describe each member's primary role.
  • Relevant Experience & Expertise: Highlight their most relevant professional experience, skills, and achievements that make them uniquely qualified to execute this vision.
  • Advisors/Board Members (if any): List any notable advisors.

8. Competitive Landscape

  • Direct Competitors: Who are your main direct competitors?
  • Indirect Competitors: Who are indirect players solving parts of the problem or offering alternatives?
  • Competitive Advantage: What is your sustainable competitive advantage? (e.g., proprietary technology, unique business model, superior customer experience, network effects, cost advantage)

9. Financial Projections (High-Level for Test Run)

  • Key Revenue Assumptions: What are the main drivers of your revenue growth over the next 3-5 years? (e.g., number of customers, average revenue per user, growth rate)
  • Major Cost Categories: What are your primary expenses? (e.g., R&D, marketing, salaries, infrastructure)
  • Profitability Timeline (Estimated): When do you anticipate reaching profitability?

10. The Ask (Funding Request)

  • Amount Seeking: How much capital are you looking to raise? (e.g., $X million)
  • Use of Funds: How specifically will this capital be deployed? (e.g., product development, marketing, hiring, operational expenses – usually broken down into percentages)
  • Expected Impact of Funds: What key milestones will this funding enable you to achieve?

11. Vision

  • Long-Term Vision: What is the ultimate, ambitious goal for your company? Where do you see it in 5-10 years?
  • Impact: What kind of impact do you aspire to have on your industry, customers, or the world?

Your Input Request

Please provide the details for your hypothetical startup using the categories above. You can structure your response as a direct answer to each point or in a narrative format, ensuring all requested information is covered.


Please provide the details for your "Test run for startup_pitch_deck" here:


Next Steps

Once you provide this comprehensive information, I will proceed to Step 2: Draft Pitch Deck Sections. In that step, I will use your input to generate the initial drafts for each section of your pitch deck, adhering to best practices for investor presentations.

collab Output

This output represents a complete investor pitch deck, designed to be comprehensive, detailed, and professional for a hypothetical startup, "MarketMate AI." It includes all requested sections, structured for maximum impact and clarity, ready for presentation.


Investor Pitch Deck: MarketMate AI

Slide 1: Title Slide

MarketMate AI: Your Growth Partner in Digital Marketing

  • Tagline: Empowering Small Businesses with AI-Driven Marketing Automation.
  • Presented By: Alexandra Chen
  • Contact: [Email@example.com] | [Website.com] | [LinkedIn.com/company/marketmateai]

Slide 2: The Problem

The Digital Marketing Dilemma for Small Businesses

Small and medium-sized businesses (SMBs) are the backbone of our economy, yet they face a significant uphill battle in the digital landscape. They know they need a strong online presence, but the reality is daunting.

  • Lack of Expertise & Time: 70% of SMBs struggle with digital marketing, often lacking the in-house skills or time to create compelling content, manage SEO, or run effective social media campaigns.
  • Budget Constraints: Hiring agencies or full-time marketing staff is often cost-prohibitive. Average agency retainers start at \$1,500 - \$5,000 per month, far out of reach for many.
  • Fragmented Tools: SMBs often juggle multiple, disconnected tools for content, social media, email, and analytics, leading to inefficiencies and missed opportunities.
  • Lost Revenue: Without a consistent and optimized digital presence, SMBs miss out on potential customers, leading to stagnant growth and competitive disadvantage.

Current Solutions Fall Short: Generic AI tools lack industry-specific nuance, while traditional agencies are too expensive. SMBs are left in a void, needing powerful, affordable, and integrated marketing solutions.


Slide 3: The Solution

MarketMate AI: Your All-in-One AI Marketing Co-Pilot

MarketMate AI is an intelligent, integrated platform designed specifically for small businesses, automating and optimizing their digital marketing efforts with cutting-edge AI. We empower SMBs to compete effectively online without the hefty price tag or the need for extensive expertise.

How MarketMate AI Solves It:

  • AI-Powered Content Generation: Generate high-quality blog posts, social media updates, ad copy, and email newsletters tailored to their brand voice and target audience in minutes.
  • SEO Optimization Engine: Automatically analyze keywords, optimize content for search engines, and provide actionable recommendations to improve organic visibility.
  • Smart Social Media Manager: Schedule posts across platforms, analyze engagement, and suggest optimal posting times and content types for maximum reach.
  • Integrated Analytics & Reporting: Provide clear, actionable insights into marketing performance, helping businesses understand what works and refine their strategies.
  • User-Friendly Interface: Designed for entrepreneurs, not marketers. Intuitive dashboard makes complex tasks simple and accessible.

Our Unique Value Proposition: MarketMate AI is not just another AI content tool; it's an intelligent, integrated marketing ecosystem that learns and adapts to each business's unique needs, delivering measurable results at an affordable price point.


Slide 4: Market Opportunity

A Vast & Untapped Market for SMB Digital Empowerment

The market for digital marketing services and tools for SMBs is enormous and continues to grow rapidly, driven by increasing digital adoption and the need for online visibility.

  • Total Addressable Market (TAM): The global digital marketing services market is projected to reach \$1.5 Trillion by 2030 (Grand View Research).
  • Serviceable Available Market (SAM): The market for digital marketing software and services specifically targeting SMBs is estimated at \$200 Billion annually, with a CAGR of 15% (Statista, McKinsey). There are over 33 million small businesses in the US alone.
  • Serviceable Obtainable Market (SOM): We aim to capture 1% of the US SMB digital marketing software market within 5 years, representing an annual revenue potential of approximately \$2 Billion.

Market Trends & Tailwinds:

  • AI Adoption: Rapid advancements in AI are making sophisticated marketing tools accessible and effective for the masses.
  • Digital-First Economy: Businesses of all sizes recognize that a strong online presence is non-negotiable for survival and growth.
  • Demand for Automation: SMBs are increasingly seeking automated solutions to save time and reduce operational costs.
  • Subscription Economy: The preference for SaaS models provides predictable revenue streams and scalability.

MarketMate AI is perfectly positioned to capitalize on these trends, providing a robust, AI-driven solution to a critical and underserved market.


Slide 5: Business Model

Scalable Subscriptions, Predictable Revenue

MarketMate AI operates on a SaaS (Software-as-a-Service) subscription model, offering flexible tiers designed to meet the varying needs and budgets of small businesses. Our model emphasizes recurring revenue and high customer lifetime value.

Subscription Tiers:

  • Basic Plan (\$49/month): Ideal for solopreneurs and micro-businesses. Includes limited content generation, basic SEO suggestions, and social media scheduling for 1 platform.
  • Growth Plan (\$99/month): Our most popular plan for growing SMBs. Unlimited content generation, advanced SEO analysis, multi-platform social media management, and basic analytics.
  • Pro Plan (\$199/month): For businesses with higher demands. All Growth Plan features plus premium content templates, competitor analysis, dedicated account support, and advanced integrations.

Revenue Streams:

  • Monthly/Annual Subscriptions: Primary revenue source. Annual subscriptions offer a discount, encouraging long-term commitment and improving cash flow.
  • Add-on Services (Future): Premium templates, expert consulting hours, deeper integrations with CRM/e-commerce platforms.

Customer Acquisition Strategy:

  • Digital Marketing: Leveraging our own AI for targeted ads, SEO, and content marketing to reach SMB owners.
  • Partnerships: Collaborating with incubators, business associations, and e-commerce platforms (e.g., Shopify, Squarespace) to offer exclusive deals.
  • Referral Program: Incentivizing existing satisfied customers to refer new users.
  • Content Marketing: Free resources, webinars, and case studies demonstrating the value of AI in marketing.
  • Freemium/Trial Model: Offering a limited free trial to showcase the platform's power and convert users.

Slide 6: Traction / Milestones

Achieving Momentum: Key Milestones & Growth

Despite being a young company, MarketMate AI has demonstrated significant early traction, validating our product-market fit and showcasing our potential for rapid growth.

  • Q4 2023:

* Product Launch (Beta): Successfully launched private beta with 50 early adopters.

* User Feedback: Achieved 90% positive feedback on content quality and ease of use.

* Core Team Assembled: Onboarded key AI engineers and marketing strategists.

  • Q1 2024:

* Public Launch: Officially launched MarketMate AI to the public.

* User Growth: Surpassed 500 active paying subscribers.

* MRR Achieved: Reached \$25,000 Monthly Recurring Revenue (MRR).

* Strategic Partnership: Secured partnership with [Hypothetical Small Business Chamber of Commerce].

  • Q2 2024 (Current):

* User Growth: On track to exceed 1,200 active subscribers by end of Q2.

* MRR Projection: Projecting \$60,000 MRR by end of Q2.

* Feature Expansion: Rolled out enhanced SEO analysis tools and multi-language support.

* Customer Success Story: Featured case study of a local bakery increasing online orders by 30% using MarketMate AI.

Future Milestones:

  • End of 2024: 5,000 paying subscribers, \$250,000 MRR, launch of AI-driven ad campaign management.
  • End of 2025: 20,000 paying subscribers, \$1 Million MRR, expand into specific industry verticals (e.g., e-commerce, real estate).

Slide 7: Competitive Advantage

Our Edge: Intelligent Integration & SMB Focus

While the digital marketing and AI landscape is competitive, MarketMate AI carves out a distinct advantage through its unique combination of integrated AI, user-centric design, and unwavering focus on the small business segment.

  • Integrated AI Ecosystem: Unlike fragmented tools (e.g., Jasper for content, Buffer for social), MarketMate AI offers a cohesive platform where AI-generated content is immediately optimized for SEO and scheduled for social media, all within one intuitive dashboard. This saves time and ensures consistency.
  • SMB-Centric Design: Our platform is built from the ground up for the non-marketing expert. Simple workflows, clear language, and affordable pricing differentiate us from enterprise-level solutions or complex marketing suites.
  • Proprietary AI Models: We are developing and refining our own fine-tuned AI models specifically trained on SMB marketing data, allowing for more relevant and effective content generation and optimization than generic large language models.
  • Cost-Effectiveness: We offer a powerful suite of tools at a fraction of the cost of hiring a marketing agency or piecing together multiple expensive software subscriptions.
  • Data-Driven Evolution: Our AI continuously learns from user performance data, constantly improving its recommendations and content quality, providing an evolving competitive moat.

Competitor Landscape (e.g.):

  • Direct (AI Content Tools): Jasper, Copy.ai (often focused on content generation, less on full integration).
  • Indirect (Marketing Suites): HubSpot (expensive, complex for SMBs), Mailchimp (email-centric).
  • Traditional: Marketing Agencies (high cost, less scalable).

MarketMate AI fills the critical gap between overly complex, expensive enterprise solutions and basic, fragmented tools, offering a truly integrated and intelligent solution for SMBs.


Slide 8: Team

Experienced Visionaries Driving Innovation

Our diverse team brings together deep expertise in Artificial Intelligence, Software Development, Marketing Strategy, and Business Operations, united by a passion for empowering small businesses.

  • [Founder Name], CEO & Co-Founder:

* 15+ years experience in SaaS product development and entrepreneurship.

* Previously founded [Previous Company], a successful [Industry] tech startup acquired by [Acquirer].

* Expert in product-market fit and strategic growth.

  • [CTO Name], CTO & Co-Founder:

* PhD in Artificial Intelligence with 10+ years specializing in NLP and machine learning.

* Led AI research teams at [Major Tech Company] developing scalable AI solutions.

* Architect of MarketMate AI's proprietary AI engine.

  • [Head of Marketing Name], Head of Marketing:

* 10+ years in digital marketing, with a focus on SMB growth and content strategy.

* Successfully scaled marketing efforts for multiple B2B SaaS companies.

* Passionate about making complex marketing accessible.

Advisory Board:

  • [Advisor Name 1]: Former VP of Marketing at [Fortune 500 Company], brings extensive go-to-market strategy experience.
  • [Advisor Name 2]: Renowned AI Ethics and Data Privacy expert, ensuring responsible AI development.

Our team's combined experience positions us to execute our vision, scale rapidly, and deliver exceptional value to our customers and investors.


Slide 9: Financial Projections

Strong Growth & Healthy Margins: Our Path to Profitability

MarketMate AI's subscription-based model provides a clear and predictable path to substantial revenue growth and profitability. Our projections are based on conservative customer acquisition costs and healthy retention rates.

| Metric | Year 1 (Current) | Year 2 | Year 3 | Year 4 | Year 5 |

| :------------------ | :----------------- | :----------------- | :----------------- | :----------------- | :----------------- |

| Active Subscribers | 1,200 | 10,000 | 40,000 | 120,000 | 300,000 |

| Average MRR/Subscriber | \$75 | \$80 | \$85 | \$90 | \$95 |

| Annual Recurring Revenue (ARR) | \$1.08 Million | \$9.6 Million | \$40.8 Million | \$129.6 Million | \$342 Million |

| Gross Profit Margin | 70% | 75% | 80% | 82% | 85% |

| Net Profit | (\$1.2 Million) | \$1.5 Million | \$15 Million | \$60 Million | \$180 Million |

Key Assumptions:

  • Customer Acquisition Cost (CAC): Starting at \$150, decreasing to \$80 by Year 5 due to optimization and referrals.
  • Churn Rate: Projected at 5% monthly, improving to 3% by Year 5.
  • Pricing: Modest annual price increases (approx. 5%) reflecting added value and features.
  • Operating Expenses: Scaled investments in R&D, sales & marketing, and customer success to support growth.

These projections demonstrate a compelling opportunity for investors, with MarketMate AI poised to become a dominant player in the SMB digital marketing automation space.


Slide 10: The Ask / Call to Action

Join Us in Empowering the Future of Small Business

MarketMate AI is not just a platform; it's a movement to democratize sophisticated digital marketing for every small business owner. We are seeking strategic partners to accelerate our growth and solidify our market leadership.

We are seeking a Seed Round investment of \$2.5 Million.

Use of Funds:

  • Product Development (40%): Accelerate AI model
collab Output

The user has requested to generate a complete investor pitch deck, and this step (generate_code) requires producing the code that accomplishes this. For the "Test run for startup_pitch_deck" input, I will generate a Python script that outputs a comprehensive, detailed, and professional pitch deck for a hypothetical startup, "EcoCharge Solutions," which addresses common challenges in the EV charging sector.

This script will produce the pitch deck content in a Markdown format, making it easily readable and convertible into presentation slides.


Step 3 of 4: collab → generate_code - Startup Pitch Deck Generator

Deliverable: Python Script for Investor Pitch Deck Generation

This section provides a Python script designed to generate a comprehensive investor pitch deck. The script is structured to be clean, well-commented, and production-ready, allowing for easy customization and generation of new pitch decks.

For this "Test run," the script will generate a pitch deck for a hypothetical startup named "EcoCharge Solutions" – an innovative EV charging network leveraging AI and sustainable practices.

Python Script: generate_pitch_deck.py


import datetime

def generate_pitch_deck(
    startup_name: str,
    tagline: str,
    industry: str,
    problem_statement: str,
    solution_description: str,
    solution_features: list,
    market_size: str,
    target_market: str,
    competitive_advantage: list,
    business_model_summary: str,
    revenue_streams: list,
    traction_summary: str,
    team_members: list,
    financial_projections: dict,
    funding_request: dict,
    contact_info: dict
) -> str:
    """
    Generates a comprehensive investor pitch deck in Markdown format.

    Args:
        startup_name (str): The name of the startup.
        tagline (str): A catchy phrase summarizing the startup's mission.
        industry (str): The industry the startup operates in.
        problem_statement (str): A detailed description of the problem the startup solves.
        solution_description (str): A high-level overview of the solution.
        solution_features (list): Key features of the solution.
        market_size (str): Total addressable market (TAM) information.
        target_market (str): Specific segments the startup is targeting.
        competitive_advantage (list): What makes the startup unique and superior.
        business_model_summary (str): Overview of how the startup makes money.
        revenue_streams (list): Specific ways the startup generates revenue.
        traction_summary (str): Key achievements and milestones.
        team_members (list): List of dictionaries for each team member (name, title, bio).
        financial_projections (dict): Dictionary containing revenue, profit, and funding needs over years.
        funding_request (dict): Details about the current funding round (amount, use of funds).
        contact_info (dict): Contact details for the startup.

    Returns:
        str: The complete pitch deck content formatted in Markdown.
    """

    current_date = datetime.date.today().strftime("%B %d, %Y")

    deck_content = [
        f"# Investor Pitch Deck: {startup_name}",
        f"**_{tagline}_**\n",
        f"**Date:** {current_date}",
        f"**Industry:** {industry}\n",

        "---",
        "## 1. The Problem",
        "### The Challenge with Current EV Charging Infrastructure",
        "**Problem Statement:**",
        f"{problem_statement}\n",
        "**Key Pain Points:**",
        "- **Range Anxiety:** Limited availability and reliability of charging stations.",
        "- **Inefficient Charging:** Lack of smart management leads to higher costs and grid strain.",
        "- **Fragmented User Experience:** Multiple apps, payment methods, and inconsistent service quality.",
        "- **Environmental Impact:** Reliance on non-renewable energy sources for charging.\n",

        "---",
        "## 2. The Solution",
        f"### Introducing {startup_name}: Smart, Sustainable, Seamless EV Charging",
        "**Our Solution:**",
        f"{solution_description}\n",
        "**Key Features & Differentiators:**",
    ]
    for feature in solution_features:
        deck_content.append(f"- {feature}")
    deck_content.append("\n**How it Works:**")
    deck_content.append("1. **Smart Charging Network:** AI-driven optimization for charging schedules and energy distribution.")
    deck_content.append("2. **Renewable Energy Integration:** Prioritizes and integrates with solar, wind, and other green energy sources.")
    deck_content.append("3. **Seamless User Experience:** Intuitive mobile app for station discovery, booking, payments, and real-time monitoring.")
    deck_content.append("4. **Robust Hardware:** Durable, fast-charging stations designed for urban and commercial environments.\n")

    deck_content.append("---")
    deck_content.append("## 3. Market Opportunity")
    deck_content.append("### A Rapidly Expanding Market Ripe for Innovation")
    deck_content.append(f"**Total Addressable Market (TAM):** {market_size}")
    deck_content.append(f"**Target Market:** {target_market}\n")
    deck_content.append("**Market Growth Drivers:**")
    deck_content.append("- Global push for decarbonization and EV adoption targets.")
    deck_content.append("- Increasing consumer demand for convenient and sustainable transportation.")
    deck_content.append("- Government incentives and infrastructure investments.\n")
    deck_content.append("**Competitive Landscape:**")
    deck_content.append("- Existing players include ChargePoint, EVgo, Electrify America (primarily hardware/network focused).")
    deck_content.append("- Niche software providers for fleet management.")
    deck_content.append("- Auto manufacturers' proprietary networks.")
    deck_content.append(f"**Our Competitive Advantage:**")
    for advantage in competitive_advantage:
        deck_content.append(f"- {advantage}")
    deck_content.append("\n")

    deck_content.append("---")
    deck_content.append("## 4. Business Model")
    deck_content.append("### Diverse Revenue Streams for Sustainable Growth")
    deck_content.append(f"**Summary:** {business_model_summary}\n")
    deck_content.append("**Revenue Streams:**")
    for stream in revenue_streams:
        deck_content.append(f"- {stream}")
    deck_content.append("\n**Go-to-Market Strategy:**")
    deck_content.append("- **Phase 1 (Pilot & Validation):** Focus on corporate campuses and urban fleet operators.")
    deck_content.append("- **Phase 2 (Expansion):** Partner with municipalities, property developers, and retail chains.")
    deck_content.append("- **Phase 3 (Scale):** Regional and national network expansion, strategic acquisitions.\n")

    deck_content.append("---")
    deck_content.append("## 5. Traction & Milestones")
    deck_content.append("### Proving Our Vision with Tangible Results")
    f"{traction_summary}\n"
    deck_content.append(f"**Key Achievements:**")
    deck_content.append("- **Pilot Programs:** Successfully launched pilots with 3 corporate campuses, demonstrating 30% energy cost savings.")
    deck_content.append("- **User Growth:** 500+ active users on our mobile app within 6 months of pilot launch.")
    deck_content.append("- **Charging Volume:** Over 10,000 charges completed, delivering 500,000+ kWh of green energy.")
    deck_content.append("- **Customer Satisfaction:** 4.8-star rating on our mobile app, positive feedback on reliability and ease of use.")
    deck_content.append("- **Partnerships:** LOIs signed with 2 major property management groups for future installations.")
    deck_content.append("- **Technology Development:** Patented our AI-driven energy optimization algorithm.\n")

    deck_content.append("---")
    deck_content.append("## 6. The Team")
    deck_content.append("### A Diverse Group of Experts Driving Innovation")
    for member in team_members:
        deck_content.append(f"### {member['name']} - {member['title']}")
        deck_content.append(f"_{member['bio']}_\n")

    deck_content.append("---")
    deck_content.append("## 7. Financial Projections")
    deck_content.append("### Strong Growth Trajectory & Attractive Returns")
    deck_content.append("**Key Assumptions:**")
    deck_content.append("- Aggressive market penetration in target segments.")
    deck_content.append("- Strategic partnerships driving installation growth.")
    deck_content.append("- Continued innovation in smart charging technology.")
    deck_content.append("- Scalable cloud infrastructure and lean operational model.\n")
    deck_content.append("| Metric           | Year 1      | Year 2      | Year 3      | Year 4      | Year 5      |")
    deck_content.append("|------------------|-------------|-------------|-------------|-------------|-------------|")
    deck_content.append(f"| Revenue          | {financial_projections['revenue_y1']} | {financial_projections['revenue_y2']} | {financial_projections['revenue_y3']} | {financial_projections['revenue_y4']} | {financial_projections['revenue_y5']} |")
    deck_content.append(f"| Net Profit       | {financial_projections['profit_y1']} | {financial_projections['profit_y2']} | {financial_projections['profit_y3']} | {financial_projections['profit_y4']} | {financial_projections['profit_y5']} |")
    deck_content.append(f"| Stations Deployed| {financial_projections['stations_y1']} | {financial_projections['stations_y2']} | {financial_projections['stations_y3']} | {financial_projections['stations_y4']} | {financial_projections['stations_y5']} |")
    deck_content.append(f"| Active Users     | {financial_projections['users_y1']} | {financial_projections['users_y2']} | {financial_projections['users_y3']} | {financial_projections['users_y4']} | {financial_projections['users_y5']} |\n")

    deck_content.append("---")
    deck_content.append("## 8. The Ask: Funding Request")
    deck_content.append("### Seeking Strategic Partners to Accelerate Growth")
    deck_content.append(f"**Funding Round:** {funding_request['round']}")
    deck_content.append(f"**Amount Requested:** {funding_request['amount']}\n")
    deck_content.append("**Use of Funds:**")
    for item, percentage in funding_request['use_of_funds'].items():
        deck_content.append(f"- {item}: {percentage}")
    deck_content.append("\n**Milestones Achieved with Funding:**")
    deck_content.append("- Expand network to 500+ charging stations across 5 major metropolitan areas.")
    deck_content.append("- Scale user base to 50,000+ active subscribers.")
    deck_content.append("- Enhance AI platform with predictive maintenance and V2G capabilities.")
    deck_content.append("- Secure strategic partnerships with 10+ commercial real estate developers.\n")

    deck_content.append("---")
    deck_content.append("## Thank You")
    deck_content.append(f"### Let's Electrify the Future Together!")
    deck_content.append(f"**{contact_info['name']}**")
    deck_content.append(f"{contact_info['title']}")
    deck_content.append(f"Email: [{contact_info['email']}](mailto:{contact_info['email']})")
    deck_content.append(f"Website: [{contact_info['website']}]({contact_info['website']})")
    deck_content.append(f"Phone: {contact_info['phone']}\n")

    return "\n".join(deck_content)

if __name__ == "__main__":
    # --- Data for "EcoCharge Solutions" (Test Run) ---
    startup_data = {
        "startup_name": "EcoCharge Solutions",
        "tagline": "Smart, Sustainable, Seamless EV Charging for a Greener Tomorrow.",
        "industry": "Sustainable Technology, EV Infrastructure, Smart Grid",
        "problem_statement": (
            "The rapid adoption of Electric Vehicles (EVs) is outstripping the growth of reliable, "
            "efficient, and sustainably powered charging infrastructure. This leads to widespread "
            "range anxiety, inefficient grid utilization, high operational costs for charging "
            "providers, and a fragmented user experience for EV owners. Current solutions often "
            "lack smart energy management, integration with renewable sources, and a unified "
            "platform for seamless charging."
        ),
        "solution_description": (
            "EcoCharge Solutions is building an intelligent, AI-powered EV charging network that "
            "optimizes energy distribution, prioritizes renewable sources, and provides a "
            "premium, user-friendly experience. Our holistic platform combines smart hardware "
            "with a sophisticated software suite to address the critical gaps in today's EV "
            "charging ecosystem."
        ),
        "solution_features": [
            "AI-driven Smart Grid Integration & Load Balancing",
            "Dynamic Pricing based on Energy Demand & Renewable Availability",
            "Seamless Mobile App for Discovery, Booking, Payment, and Analytics",
            "Robust, Modular Charging Stations (Level 2 & DC Fast Charging)",
            "Integration with Solar/Wind Microgrids for Green Charging",
            "Predictive Maintenance and Remote Diagnostics"
        ],
        "market_size": "Global EV Charging Infrastructure Market projected to reach $300 Billion by 2030 (CAGR of 30%).",
        "target_market": "Urban commuters, corporate fleets, commercial real estate (shopping malls, hotels, offices), municipalities, and residential complexes.",
        "competitive_advantage": [
            "**AI-First Approach:** Superior energy optimization and grid intelligence.",
            "**Sustainability Focus:** Deep integration with renewable energy sources and carbon tracking.",
            "**End-to-End Solution:** Combines proprietary hardware, intelligent software, and network management.",
            "**Exceptional User Experience:** Intuitive, reliable, and personalized charging via a single platform."
        ],
        "business_
sharper4k Output

This output represents the execution of Step 4: sharper4k → generate_image for your "Startup Pitch Deck Generator" workflow, based on the input "Test run for startup_pitch_deck".

I cannot directly generate image files or a visual presentation deck. However, I can provide a comprehensive, detailed textual representation of what a professional, high-resolution (simulating "sharper4k") investor pitch deck would contain on each slide, including content, key messages, and a description of its visual appearance. This output effectively serves as a blueprint for a visual pitch deck, ready for a graphic design tool or human designer to implement.


Step 4: Simulated Pitch Deck Image Generation

Workflow Description: Generate a complete investor pitch deck with problem statement, solution, market analysis, business model, traction, team bios, and financial projections.

Output Deliverable: A detailed, slide-by-slide content and visual specification for a professional investor pitch deck.


Startup Pitch Deck: InnovateAI Solutions (Test Run)

This pitch deck is designed for a hypothetical startup, "InnovateAI Solutions," which provides an AI-powered analytics platform for small and medium-sized businesses (SMBs).

Overall Deck Visual Style & Branding Notes:

  • Theme: Modern, sophisticated, data-driven, yet user-friendly.
  • Color Palette: Professional blues and greens, with accents of bright orange/yellow for emphasis. Clean white and dark grey for backgrounds/text.
  • Typography: Sans-serif fonts (e.g., Montserrat, Lato, Open Sans) for readability, with a bolder font for headlines.
  • Imagery: High-resolution, abstract data visualizations, clean UI mockups, professional team photos, relevant icons. "Sharper4k" implies crisp graphics, smooth gradients, and no pixelation.
  • Layout: Clean, minimalist, with ample white space. Consistent branding elements (logo, footer) across slides.

Slide 1: Title Slide - InnovateAI Solutions

  • Key Message: Empowering Small Businesses with Intelligent Analytics.
  • Content:

* Company Name: InnovateAI Solutions

* Tagline: Empowering Small Businesses with Intelligent Analytics

* Presented By: Alexandra Chen

* Date: October 26, 2023

  • Visual Description (Sharper4k):

* Background: High-resolution, abstract background image featuring interconnected data points or a subtle, futuristic circuit board pattern, in shades of deep blue and purple.

* Logo: Prominently displayed InnovateAI Solutions logo (hypothetical: a stylized 'IA' integrated with a data graph icon) in the top-left or centered.

* Text: Company name in a large, bold, clean sans-serif font. Tagline below it in a slightly smaller, lighter weight. Presenter and date information subtle at the bottom.

* Overall: Professional, inviting, and hints at technology and intelligence.

Slide 2: The Problem

  • Key Message: Small businesses drown in data, lacking actionable insights and affordable tools.
  • Content:

* Data Overload: SMBs generate vast amounts of data but lack the resources to process it effectively.

* Lack of Insights: Traditional tools are complex, expensive, or require data science expertise, leaving SMBs unable to extract meaningful business insights.

* Lost Opportunities: This leads to missed growth opportunities, inefficient operations, and reactive decision-making.

* Statistic: "70% of SMBs report feeling overwhelmed by data, with 60% unable to derive actionable insights." (Source: Hypothetical Market Research)

  • Visual Description (Sharper4k):

* Background: Slightly darker background, perhaps a subtle gradient from dark blue to black, to emphasize the "problem."

* Imagery: Central graphic depicting a stylized "mountain" of data (e.g., stacked cubes or graphs) with a small, overwhelmed business owner icon looking at it. Surrounding icons showing a tangled mess of wires (complexity), a piggy bank with money flying out (cost), and a question mark (lack of clarity).

* Text: Key problem points as bold headlines, with concise explanations below. The statistic highlighted in a large, impactful font.

* Overall: Creates a sense of urgency and relatability to the SMB struggle.

Slide 3: Our Solution

  • Key Message: InnovateAI delivers intuitive, affordable, AI-powered analytics for every SMB.
  • Content:

* AI-Driven Insights: Proprietary AI algorithms analyze data to provide predictive and prescriptive insights.

* User-Friendly Platform: Intuitive dashboards and natural language querying make analytics accessible to non-technical users.

* Affordable SaaS: Cost-effective subscription model designed for SMB budgets.

* Seamless Integration: Connects with existing business tools (CRM, ERP, accounting software).

  • Visual Description (Sharper4k):

* Background: Brighter, optimistic background in light blue or white.

* Imagery: Central graphic showing a clean, modern UI mockup of the InnovateAI platform dashboard, featuring clear graphs and actionable alerts. Icons representing key benefits: a lightbulb (insights), a magnifying glass over a graph (AI analysis), a dollar sign with an upward arrow (affordability), and a handshake (integration).

* Text: Solution points as clear bullet points, perhaps with small icons next to each. A concise headline summarizing the value proposition.

* Overall: Presents a clear, compelling, and visually appealing answer to the problems outlined.

Slide 4: Market Opportunity

  • Key Message: Tapping into a rapidly growing multi-billion dollar SMB analytics market.
  • Content:

* Total Addressable Market (TAM): Global SMB market is \$X Trillion, with Y Million SMBs.

* Serviceable Available Market (SAM): Analytics software market for SMBs is projected to reach \$Z Billion by 2028 (CAGR of A%).

* Serviceable Obtainable Market (SOM): InnovateAI targets SMBs in [Specific Verticals/Regions], aiming for B% market share within 5 years.

* Drivers: Digital transformation, increased data generation, demand for competitive insights.

  • Visual Description (Sharper4k):

* Background: Clean, professional white or light grey background.

* Imagery: Infographic-style charts: a large pie chart illustrating TAM, SAM, and SOM segments. A bar graph showing projected market growth (CAGR). Small icons representing key market drivers (e.g., cloud, data server, growth arrow).

* Text: Key market size figures displayed in large, bold numbers. Concise bullet points explaining market drivers.

* Overall: Data-rich and visually compelling to demonstrate significant market potential.

Slide 5: Product & Features

  • Key Message: Core features that empower SMBs to make smarter, faster decisions.
  • Content:

* Predictive Analytics: Forecast sales, identify trends, and anticipate customer behavior.

* Customizable Dashboards: Tailor data views to specific business needs and KPIs.

* Natural Language Querying (NLQ): Ask questions in plain English and get instant answers.

* Automated Reporting: Schedule and generate reports effortlessly.

* Integration Hub: Connects to popular platforms like Shopify, Salesforce, QuickBooks, Mailchimp.

  • Visual Description (Sharper4k):

* Background: Clean, modern.

* Imagery: A central, high-fidelity screenshot or mock-up of the InnovateAI dashboard showcasing key features. Smaller, individual screenshots or icons for each feature (e.g., a crystal ball for predictive, gears for customization, speech bubble for NLQ, calendar for reporting, chain links for integration). A clear, clean layout demonstrating ease of use.

* Text: Feature names as clear headings, with brief descriptions.

* Overall: Highlights the innovation and practicality of the product with strong visuals of the UI.

Slide 6: Business Model

  • Key Message: Scalable SaaS subscription model with tiered pricing to serve diverse SMB needs.
  • Content:

* SaaS Subscription: Monthly/annual recurring revenue (MRR/ARR).

* Tiered Plans:

* Basic: Essential analytics for small startups.

* Pro: Advanced features, more users, deeper integrations for growing businesses.

* Enterprise: Custom solutions, dedicated support for larger SMBs.

* Value-Based Pricing: Pricing scales with the value derived (e.g., number of users, data volume, advanced features).

* Future Monetization: Premium add-ons, consulting services.

  • Visual Description (Sharper4k):

* Background: Clean, professional.

* Imagery: A clear, visually appealing pricing table infographic with 3-4 distinct tiers (Basic, Pro, Enterprise). Each tier column lists features, price points, and target customer. Icons representing features for each tier. A subtle upward-sloping arrow graphic to denote recurring revenue and scalability.

* Text: Clear pricing points and feature differentiators for each tier.

* Overall: Transparent and demonstrates a clear path to revenue generation and scalability.

Slide 7: Traction & Milestones

  • Key Message: Strong early adoption and clear roadmap for continued growth.
  • Content:

* Users: 1,500+ active SMB users in 6 months post-launch.

* Revenue: \$15K MRR, projected to reach \$50K MRR by Q4 2024.

* Partnerships: Signed strategic integration partnerships with Shopify and QuickBooks.

* Product Development: Beta launch of NLQ feature in Q3 2023, mobile app in development.

* Customer Satisfaction: 90% customer retention rate (hypothetical).

  • Visual Description (Sharper4k):

* Background: Light and engaging.

* Imagery: A prominent line graph showing user growth or MRR growth (hockey stick curve if applicable). Logos of key partners. A timeline infographic highlighting past achievements and near-term future milestones. Key metrics (user count, MRR, retention) displayed in large, bold numbers with accompanying icons.

* Text: Concise bullet points for each milestone.

* Overall: Builds confidence by showcasing tangible progress and future potential.

Slide 8: Marketing & Sales Strategy

  • Key Message: Multi-channel approach to acquire and retain SMB customers efficiently.
  • Content:

* Digital Marketing: SEO, SEM, content marketing (blog, white

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\n\n\n"); var hasSrcMain=Object.keys(extracted).some(function(k){return k.indexOf("src/main")>=0;}); if(!hasSrcMain) zip.file(folder+"src/main."+ext,"import React from 'react'\nimport ReactDOM from 'react-dom/client'\nimport App from './App'\nimport './index.css'\n\nReactDOM.createRoot(document.getElementById('root')!).render(\n \n \n \n)\n"); var hasSrcApp=Object.keys(extracted).some(function(k){return k==="src/App."+ext||k==="App."+ext;}); if(!hasSrcApp) zip.file(folder+"src/App."+ext,"import React from 'react'\nimport './App.css'\n\nfunction App(){\n return(\n
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n
\n )\n}\nexport default App\n"); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e}\n.app{min-height:100vh;display:flex;flex-direction:column}\n.app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px}\nh1{font-size:2.5rem;font-weight:700}\n"); zip.file(folder+"src/App.css",""); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/pages/.gitkeep",""); zip.file(folder+"src/hooks/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\n## Open in IDE\nOpen the project folder in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- Vue (Vite + Composition API + TypeScript) --- */ function buildVue(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "type": "module",\n "scripts": {\n "dev": "vite",\n "build": "vue-tsc -b && vite build",\n "preview": "vite preview"\n },\n "dependencies": {\n "vue": "^3.5.13",\n "vue-router": "^4.4.5",\n "pinia": "^2.3.0",\n "axios": "^1.7.9"\n },\n "devDependencies": {\n "@vitejs/plugin-vue": "^5.2.1",\n "typescript": "~5.7.3",\n "vite": "^6.0.5",\n "vue-tsc": "^2.2.0"\n }\n}\n'); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite'\nimport vue from '@vitejs/plugin-vue'\nimport { resolve } from 'path'\n\nexport default defineConfig({\n plugins: [vue()],\n resolve: { alias: { '@': resolve(__dirname,'src') } }\n})\n"); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]}\n'); zip.file(folder+"tsconfig.app.json",'{\n "compilerOptions":{\n "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"],\n "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true,\n "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue",\n "strict":true,"paths":{"@/*":["./src/*"]}\n },\n "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"]\n}\n'); zip.file(folder+"env.d.ts","/// \n"); zip.file(folder+"index.html","\n\n\n \n \n "+slugTitle(pn)+"\n\n\n
\n \n\n\n"); var hasMain=Object.keys(extracted).some(function(k){return k==="src/main.ts"||k==="main.ts";}); if(!hasMain) zip.file(folder+"src/main.ts","import { createApp } from 'vue'\nimport { createPinia } from 'pinia'\nimport App from './App.vue'\nimport './assets/main.css'\n\nconst app = createApp(App)\napp.use(createPinia())\napp.mount('#app')\n"); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue","\n\n\n\n\n"); zip.file(folder+"src/assets/main.css","*{margin:0;padding:0;box-sizing:border-box}body{font-family:system-ui,sans-serif;background:#fff;color:#213547}\n"); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/views/.gitkeep",""); zip.file(folder+"src/stores/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\nOpen in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- Angular (v19 standalone) --- */ function buildAngular(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var sel=pn.replace(/_/g,"-"); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "scripts": {\n "ng": "ng",\n "start": "ng serve",\n "build": "ng build",\n "test": "ng test"\n },\n "dependencies": {\n "@angular/animations": "^19.0.0",\n "@angular/common": "^19.0.0",\n "@angular/compiler": "^19.0.0",\n "@angular/core": "^19.0.0",\n "@angular/forms": "^19.0.0",\n "@angular/platform-browser": "^19.0.0",\n "@angular/platform-browser-dynamic": "^19.0.0",\n "@angular/router": "^19.0.0",\n "rxjs": "~7.8.0",\n "tslib": "^2.3.0",\n "zone.js": "~0.15.0"\n },\n "devDependencies": {\n "@angular-devkit/build-angular": "^19.0.0",\n "@angular/cli": "^19.0.0",\n "@angular/compiler-cli": "^19.0.0",\n "typescript": "~5.6.0"\n }\n}\n'); zip.file(folder+"angular.json",'{\n "$schema": "./node_modules/@angular/cli/lib/config/schema.json",\n "version": 1,\n "newProjectRoot": "projects",\n "projects": {\n "'+pn+'": {\n "projectType": "application",\n "root": "",\n "sourceRoot": "src",\n "prefix": "app",\n "architect": {\n "build": {\n "builder": "@angular-devkit/build-angular:application",\n "options": {\n "outputPath": "dist/'+pn+'",\n "index": "src/index.html",\n "browser": "src/main.ts",\n "tsConfig": "tsconfig.app.json",\n "styles": ["src/styles.css"],\n "scripts": []\n }\n },\n "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"}\n }\n }\n }\n}\n'); zip.file(folder+"tsconfig.json",'{\n "compileOnSave": false,\n "compilerOptions": {"baseUrl":"./","outDir":"./dist/out-tsc","forceConsistentCasingInFileNames":true,"strict":true,"noImplicitOverride":true,"noPropertyAccessFromIndexSignature":true,"noImplicitReturns":true,"noFallthroughCasesInSwitch":true,"paths":{"@/*":["src/*"]},"skipLibCheck":true,"esModuleInterop":true,"sourceMap":true,"declaration":false,"experimentalDecorators":true,"moduleResolution":"bundler","importHelpers":true,"target":"ES2022","module":"ES2022","useDefineForClassFields":false,"lib":["ES2022","dom"]},\n "references":[{"path":"./tsconfig.app.json"}]\n}\n'); zip.file(folder+"tsconfig.app.json",'{\n "extends":"./tsconfig.json",\n "compilerOptions":{"outDir":"./dist/out-tsc","types":[]},\n "files":["src/main.ts"],\n "include":["src/**/*.d.ts"]\n}\n'); zip.file(folder+"src/index.html","\n\n\n \n "+slugTitle(pn)+"\n \n \n \n\n\n \n\n\n"); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser';\nimport { appConfig } from './app/app.config';\nimport { AppComponent } from './app/app.component';\n\nbootstrapApplication(AppComponent, appConfig)\n .catch(err => console.error(err));\n"); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; }\nbody { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; }\n"); var hasComp=Object.keys(extracted).some(function(k){return k.indexOf("app.component")>=0;}); if(!hasComp){ zip.file(folder+"src/app/app.component.ts","import { Component } from '@angular/core';\nimport { RouterOutlet } from '@angular/router';\n\n@Component({\n selector: 'app-root',\n standalone: true,\n imports: [RouterOutlet],\n templateUrl: './app.component.html',\n styleUrl: './app.component.css'\n})\nexport class AppComponent {\n title = '"+pn+"';\n}\n"); zip.file(folder+"src/app/app.component.html","
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n \n
\n"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1}\n"); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core';\nimport { provideRouter } from '@angular/router';\nimport { routes } from './app.routes';\n\nexport const appConfig: ApplicationConfig = {\n providers: [\n provideZoneChangeDetection({ eventCoalescing: true }),\n provideRouter(routes)\n ]\n};\n"); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router';\n\nexport const routes: Routes = [];\n"); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nng serve\n# or: npm start\n\`\`\`\n\n## Build\n\`\`\`bash\nng build\n\`\`\`\n\nOpen in VS Code with Angular Language Service extension.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n.angular/\n"); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join("\n"):"# add dependencies here\n"; zip.file(folder+"main.py",src||"# "+title+"\n# Generated by PantheraHive BOS\n\nprint(title+\" loaded\")\n"); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\n\`\`\`\n\n## Run\n\`\`\`bash\npython main.py\n\`\`\`\n"); zip.file(folder+".gitignore",".venv/\n__pycache__/\n*.pyc\n.env\n.DS_Store\n"); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+"\n"; zip.file(folder+"package.json",pkgJson); var fallback="const express=require(\"express\");\nconst app=express();\napp.use(express.json());\n\napp.get(\"/\",(req,res)=>{\n res.json({message:\""+title+" API\"});\n});\n\nconst PORT=process.env.PORT||3000;\napp.listen(PORT,()=>console.log(\"Server on port \"+PORT));\n"; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000\n"); zip.file(folder+".gitignore","node_modules/\n.env\n.DS_Store\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\n\`\`\`\n\n## Run\n\`\`\`bash\nnpm run dev\n\`\`\`\n"); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:"\n\n\n\n\n"+title+"\n\n\n\n"+code+"\n\n\n\n"; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */\n*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e}\n"); zip.file(folder+"script.js","/* "+title+" — scripts */\n"); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Open\nDouble-click \`index.html\` in your browser.\n\nOr serve locally:\n\`\`\`bash\nnpx serve .\n# or\npython3 -m http.server 3000\n\`\`\`\n"); zip.file(folder+".gitignore",".DS_Store\nnode_modules/\n.env\n"); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/\.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/\*\*(.+?)\*\*/g,"$1"); hc=hc.replace(/\n{2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\nFiles:\n- "+app+".md (Markdown)\n- "+app+".html (styled HTML)\n"); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); } function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}