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feat: rebrand VoidRunner as AI-powered distributed task execution platform
Transform VoidRunner positioning from serverless deployment platform to
distributed task execution platform designed for computational workloads.
- Update logos from "AI-POWERED DEPLOYMENT" to "AI-POWERED TASK EXECUTION"
- Rebrand site title and description to focus on distributed computing
- Transform homepage content to emphasize task orchestration over deployment
- Update features page to highlight computational capabilities
- Revise pricing terminology from deployments to task executions
- Replace all Flask/web application code examples with computational tasks
- Update blog posts to align with task execution messaging
- Add custom header partial to fix visual title display issues
This repositioning clarifies VoidRunner's purpose as a platform for
executing one-off computational tasks rather than hosting long-running
web applications.
Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
description: "Deploy AI applications in minutes, not hours. VoidRunner's AI-powered platform automatically detects and sets up runtime environments from just your code."
title: "Deploy AI Applications in Minutes, Not Hours"
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description: "VoidRunner's AI-powered platform automatically detects and sets up runtime environments from just your code. Skip the infrastructure complexity and focus on building."
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title: "Execute Distributed Tasks in Minutes, Not Hours"
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description: "VoidRunner's AI-powered platform automatically detects optimal runtime environments and orchestrates computational workloads. Skip the distributed computing complexity and focus on your tasks."
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draft: false
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layout: "home"
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# Hero section
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hero:
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enable: true
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title: "Deploy AI Applications in **Minutes, Not Hours**"
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subtitle: "VoidRunner's AI-powered platform automatically detects and sets up runtime environments from just your code. Skip the infrastructure complexity and focus on building."
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title: "Execute Distributed Tasks in **Minutes, Not Hours**"
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subtitle: "VoidRunner's AI-powered platform automatically detects optimal runtime environments and orchestrates computational workloads across distributed infrastructure. Skip the complexity and focus on your tasks."
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button:
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enable: true
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label: "Start Free"
@@ -25,100 +25,100 @@ hero:
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# Code example section
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code_demo:
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enable: true
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title: "From Code to Production in **3 Simple Steps**"
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subtitle: "Just provide your code and description. Our AI does the rest."
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title: "From Code to Execution in **3 Simple Steps**"
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subtitle: "Just provide your task code and description. Our AI orchestrates the execution."
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steps:
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- title: "1. Submit Your Code"
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description: "Upload your application code with a simple description"
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- title: "1. Submit Your Task"
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description: "Upload your computational task code with a simple description"
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code: |
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```json
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{
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"name": "ML Image Classifier",
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"description": "TensorFlow model for image classification with REST API",
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"code": "from flask import Flask, request\nimport tensorflow as tf\n\napp = Flask(__name__)\nmodel = tf.keras.models.load_model('model.h5')\n\n@app.route('/predict', methods=['POST'])\ndef predict():\n # Your ML code here\n return {'prediction': result}"
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"name": "Fibonacci Calculator",
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"description": "Calculate Fibonacci numbers using recursive algorithm",
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"code": "import math\n\ndef calculate_fibonacci(n):\n \"\"\"Calculate the nth Fibonacci number\"\"\"\n if n <= 1:\n return n\n return calculate_fibonacci(n-1) + calculate_fibonacci(n-2)\n\n# Calculate and display result\nresult = calculate_fibonacci(20)\nprint(f\"20th Fibonacci number: {result}\")"
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}
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```
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- title: "2. AI Environment Detection"
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description: "Our AI analyzes dependencies and creates optimal container environment"
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- title: "2. AI Runtime Optimization"
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description: "Our AI analyzes dependencies and creates optimal execution environment"
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code: |
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```dockerfile
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FROM python:3.9-slim
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WORKDIR /app
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# AI-detected dependencies
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# AI-optimized for computational tasks
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COPY requirements.txt .
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RUN pip install tensorflow==2.13.0 flask==2.3.2
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RUN pip install numpy==1.24.0
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COPY . .
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EXPOSE 5000
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CMD ["python", "app.py"]
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# Optimized for mathematical computation
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CMD ["python", "fibonacci_calculator.py"]
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```
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- title: "3. Deploy & Scale"
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description: "Instant deployment with automatic scaling and monitoring"
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- title: "3. Execute & Scale"
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description: "Instant task execution with automatic resource scaling and monitoring"
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code: |
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```bash
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✅ Environment detected: Python 3.9 + TensorFlow
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✅ Container built: ml-classifier-a4f2x:rev-1
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✅ Deployed: https://ml-classifier.voidrunner.app
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✅ Scaling: 0→3 instances (auto)
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📊 Status: Ready (99.9% uptime)
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🚀 Cold start: <800ms
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💰 Cost: $0.12/hour
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✅ Runtime optimized: Python 3.9 + NumPy
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✅ Task environment: fibonacci-calc-a4f2x:v1
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✅ Executing: Task #12847 (Fibonacci sequence)
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✅ Scaling: 1→4 workers (auto)
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📊 Status: Complete (runtime: 1.2s)
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🚀 Task startup: <300ms
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💰 Cost: $0.02/task
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```
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# Features section
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features:
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enable: true
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title: "**Intelligent Infrastructure** That Thinks Like You"
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subtitle: "Stop wrestling with Docker, Kubernetes, and cloud complexity. VoidRunner's AI understands your code and sets up everything automatically."
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title: "**Intelligent Task Orchestration** That Thinks Like You"
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subtitle: "Stop wrestling with distributed computing complexity. VoidRunner's AI understands your tasks and orchestrates optimal execution automatically."
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feature_list:
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- icon: "fas fa-brain"
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title: "AI-Powered Environment Detection"
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description: "Advanced language models analyze your code to detect dependencies, frameworks, and optimal runtime configurations automatically."
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title: "AI-Powered Task Analysis"
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description: "Advanced language models analyze your computational tasks to detect dependencies, frameworks, and optimal execution strategies automatically."
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- icon: "fas fa-rocket"
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title: "Sub-Second Cold Starts"
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description: "Pre-warmed containers and intelligent caching deliver blazing-fast performance with minimal latency."
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title: "Sub-Second Task Initialization"
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description: "Pre-warmed execution environments and intelligent resource allocation deliver blazing-fast task startup with minimal latency."
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- icon: "fas fa-shield-alt"
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title: "Enterprise-Grade Security"
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description: "gVisor sandboxing, container isolation, and SOC 2 compliance keep your code and data secure."
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- icon: "fas fa-chart-line"
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title: "Usage-Based Scaling"
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description: "Pay only for what you use with transparent pricing and automatic scaling that grows with your needs."
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title: "Dynamic Resource Scaling"
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description: "Pay only for computational resources consumed with transparent pricing and automatic scaling that adapts to task demands."
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- icon: "fas fa-code"
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title: "Multi-Language Support"
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description: "Python, Node.js, Go, Java, Rust, and more. If you can code it, we can run it."
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title: "Multi-Language Task Support"
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description: "Python, Node.js, Go, Java, Rust, and more. If you can code it, we can execute it at scale."
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- icon: "fas fa-cogs"
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title: "Developer-First API"
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description: "RESTful APIs, comprehensive SDKs, and detailed documentation designed by developers, for developers."
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title: "Task-Oriented APIs"
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description: "RESTful APIs optimized for task submission, monitoring, and result retrieval with comprehensive SDKs and documentation."
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# Social proof section
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testimonials:
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enable: true
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title: "Trusted by **Developers Worldwide**"
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subtitle: "Join thousands of developers who've eliminated infrastructure headaches"
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title: "Trusted by **Researchers & Engineers Worldwide**"
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subtitle: "Join thousands of researchers and engineers who've eliminated distributed computing headaches"
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testimonial_list:
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- name: "Sarah Chen"
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designation: "Senior ML Engineer @ TechFlow"
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avatar: "/images/testimonials/sarah.svg"
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content: "VoidRunner cut our deployment time from 4 hours to 3 minutes. The AI environment detection is incredibly accurate - it understood our complex ML pipeline instantly."
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content: "VoidRunner cut our batch processing setup from 4 hours to 3 minutes. The AI runtime optimization is incredibly accurate - it understood our complex ML workload instantly."
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- name: "Marcus Rodriguez"
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designation: "Lead DevOps @ StartupX"
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designation: "Principal Engineer @ StartupX"
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avatar: "/images/testimonials/marcus.svg"
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content: "Finally, a platform that just works. No more Dockerfile debugging or Kubernetes YAML wrestling. Our team can focus on shipping features, not infrastructure."
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content: "Finally, a platform that just works. No more distributed computing setup or resource management wrestling. Our team can focus on research algorithms, not infrastructure."
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- name: "Dr. Emily Watson"
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designation: "Research Scientist @ AI Labs"
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avatar: "/images/testimonials/emily.svg"
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content: "The automatic dependency resolution saved us weeks of environment setup. VoidRunner handles our research workloads seamlessly."
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content: "The automatic dependency resolution saved us weeks of environment setup. VoidRunner handles our computational research tasks seamlessly."
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# Stats section
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stats:
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stat_list:
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- number: "1M+"
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title: "Functions Deployed"
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title: "Tasks Executed"
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- number: "99.9%"
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title: "Uptime SLA"
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- number: "<800ms"
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title: "Average Cold Start"
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title: "Average Task Startup"
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- number: "50+"
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title: "Languages Supported"
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title: "Languages & Frameworks"
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# Pricing preview
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pricing_preview:
@@ -149,7 +149,7 @@ pricing_preview:
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price: "Free"
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description: "Perfect for learning and small projects"
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features:
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- "1,000 function executions/month"
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- "1,000 task executions/month"
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- "10 GB-hours compute time"
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- "5GB bandwidth"
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- "Community support"
@@ -162,7 +162,7 @@ pricing_preview:
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price_period: "/month"
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description: "For professional developers and growing projects"
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features:
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- "50,000 executions included"
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- "50,000 task executions included"
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- "100 GB-hours compute"
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- "100GB bandwidth"
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- "Email support"
@@ -176,7 +176,7 @@ pricing_preview:
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price: "Custom"
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description: "For teams and large-scale applications"
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features:
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- "Unlimited executions"
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- "Unlimited task executions"
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- "Custom SLAs"
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- "Dedicated support"
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- "Advanced security"
@@ -188,10 +188,10 @@ pricing_preview:
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# CTA section
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cta:
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enable: true
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title: "Ready to **Deploy Smarter**?"
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subtitle: "Join thousands of developers who've eliminated infrastructure complexity with VoidRunner."
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title: "Ready to **Execute Smarter**?"
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subtitle: "Join thousands of researchers and engineers who've eliminated distributed computing complexity with VoidRunner."
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button:
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label: "Start Building for Free"
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label: "Start Executing for Free"
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link: "https://app.voidrunner.dev/signup"
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button_alt:
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label: "Schedule Demo"
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<!-- Custom sections can be added here -->
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## Why Developers Choose VoidRunner
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## Why Researchers & Engineers Choose VoidRunner
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Traditional deployment workflows are broken. You spend more time configuring environments than building features. VoidRunner fixes this with AI-powered automation that understands your code and sets up everything perfectly, every time.
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Traditional distributed computing workflows are broken. You spend more time configuring environments than running computational tasks. VoidRunner fixes this with AI-powered automation that understands your tasks and orchestrates execution perfectly, every time.
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