Modal Sandboxes
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Modal Sandboxes
Run untrusted code safely at scale
9
Problem
The current situation involves companies trying to run untrusted code at scale, which can lead to performance issues and security vulnerabilities.
Security and performance concerns when running untrusted code.
Solution
A platform that allows users to run untrusted code safely at scale, offering full environment control and complete isolation.
Safely run untrusted code at scale with complete isolation and fast cold starts.
Customers
Developers, software engineers, IT professionals, and DevOps teams who work with untrusted code and need a secure execution environment.
Unique Features
Complete isolation between executions, fast cold starts, control over any language and dependency, all through a simple API.
Market Size
The serverless computing market was valued at approximately $7.6 billion in 2020 and is expected to grow significantly.
SandboxAI: Run AI Generated Code Safely
Run AI generated code in isolated sandboxes
8
Problem
Running AI-generated code and shell commands without adequate security measures increases risks of unauthorized access or system breaches.
The old solution allowed direct execution of AI-generated scripts in standard environments, which poses security threats.
Security breaches and unauthorized access can occur when users lack the capability to properly isolate AI code execution environments.
Solution
Open source runtime
enables users to execute AI-generated Python code and shell commands in isolated sandboxes
securely executing AI-generated code in isolated environments
Customers
AI developers and researchers who need to run AI-generated code safely without risking security breaches.
Data scientists looking to maintain high security standards while executing machine learning scripts.
Tech companies focused on safety and compliance while leveraging AI capabilities.
Unique Features
Open-source runtime specifically designed for secure AI execution.
Isolation of AI-generated code, reducing security vulnerabilities.
Focus on safety for executing Python code and shell commands.
User Comments
Users appreciate the enhanced security for running AI code.
The product is praised for being open source, allowing customization.
Some users see potential for broader use in tech compliance.
Comments suggest improvements in ease of setup and maintenance.
Positive feedback on product's tangible security benefits.
Traction
Launched on ProductHunt with a focus on AI and security.
Gained traction due to the increasing demand for secure AI execution environments.
Market Size
The global AI security market is expected to grow to $38.2 billion by 2028, highlighting the increasing demand for secure AI solutions.

Bulifier AI - Git, Code & Run
🚀 Do it all on mobile with AI - Generate, Code, and Succeed
8
Problem
The current situation involves developers and project managers trying to code and manage projects while on-the-go. This often requires them to have access to a full-fledged desktop or laptop setup to run integrated development environments (IDEs), manage code via version control systems like Git, handle dependencies with tools such as npm, and test their code execution. The drawbacks of this old situation include the inability to efficiently work from a mobile device, which limits productivity and flexibility.
access to a full-fledged desktop or laptop setup to run integrated development environments (IDEs), manage code via version control systems like Git
Solution
A mobile-first IDE that lets you build full-scale projects, powered by AI.
With this tool, users can generate code via agentic flow, have Git support, run JavaScript and view console logs, manage dependencies with Bulifier-NPM Client, and export Full JS Projects.
generate code via agentic flow
Customers
Developers and project managers who are seeking a mobile-first solution to enhance their productivity and flexibility. Likely to be tech-savvy professionals, often working in software development environments, frequently collaborating remotely or while traveling.
Unique Features
The product is uniquely positioned as a mobile-first IDE with features ordinarily available on desktop counterparts. It leverages AI to assist in code generation and project building, includes version control integration with Git, and offers a dedicated npm management client—all from a mobile device.
User Comments
Users appreciate the mobility and flexibility the platform provides.
The AI-powered code generation feature is seen as innovative.
There are positive remarks about the console log feature and npm client integration for managing dependencies.
Some users note challenges in adapting to a mobile-first IDE interface.
Overall, there's enthusiasm about the potential of developing full-scale projects directly from a mobile device.
Traction
As per the ProductHunt listing, Bulifier AI is a relatively new product focused on expanding the functionality of mobile-first development solutions by integrating AI capabilities.
Market Size
The global integrated development environment (IDE) software market was valued at $9.58 billion in 2021 and is projected to reach $12.65 billion by 2028, growing at a CAGR of 4.0%.
Ridvay Code for VS Code
AI coding assistant that supercharges your VS Code workflow
56
Problem
Users face inefficiencies in coding workflows with manual code generation, refactoring, testing, and debugging. Manual code generation, refactoring, testing, and debugging are time-consuming and error-prone.
Solution
A VS Code extension that acts as an AI coding assistant, enabling users to generate code, refactor, auto-generate tests, debug, and understand complex code within the IDE.
Customers
Software developers, engineers, and tech professionals who use VS Code for coding and seek productivity enhancements.
Alternatives
View all Ridvay Code for VS Code alternatives →
Unique Features
Integrated context-aware AI within VS Code, combining code generation, refactoring, testing, and debugging in a single tool.
User Comments
Boosts coding efficiency
Simplifies refactoring
Accurate test generation
Effective debugging assistance
Clarifies complex codebases
Traction
Information not explicitly provided in the input; additional data required for quantitative metrics.
Market Size
The global AI developer tools market was valued at $2.7 billion in 2023 (Statista).

YepCode Run
Execute AI-generated code ⚡ in secure, scalable sandboxes!
33
Problem
Users need to execute AI-generated code within their applications but face security risks and scalability challenges with traditional sandbox environments, leading to potential vulnerabilities and operational inefficiencies.
Solution
A serverless runtime and SDK that enables secure, scalable execution of AI-generated code in isolated sandboxes. Users integrate the SDK to run code without managing infrastructure, e.g., executing LLM-generated scripts safely.
Customers
AI developers, engineers, and DevOps teams building applications that rely on AI-generated code, particularly in startups and enterprises requiring secure automation.
Unique Features
Combines serverless architecture with sandbox isolation tailored for AI agents, offering granular permission controls, automatic scaling, and seamless SDK integration.
User Comments
Simplifies secure code execution
Reduces infrastructure management overhead
Enhances AI agent reliability
Scalable for high-demand workflows
Easy integration with existing systems
Traction
Launched in 2023, YepCode Run has 5K+ active users and $50K+ MRR. Founder has 1.2K+ followers on X, with partnerships from 10+ AI tool providers.
Market Size
The global $10.2 billion cloud development environment market (2023) is expanding due to AI adoption, with AI code tools projected to grow at 29% CAGR through 2030.

Kilo Code for VS Code
Lightning speed autonomous AI coding agent
446
Problem
Developers manually write, debug, and optimize code in VS Code, which is time-consuming and error-prone due to human limitations and fragmented workflows.
Solution
A VS Code extension with autonomous AI coding capabilities that writes, fixes, and modifies code via chat commands, executes CLI prompts, and handles multi-file operations (e.g., generating API endpoints or debugging scripts).
Customers
Software developers, engineers, and technical teams seeking faster coding workflows in VS Code, particularly those working on complex projects requiring rapid prototyping.
Alternatives
View all Kilo Code for VS Code alternatives →
Unique Features
Autonomous code execution via chat interface, integrated CLI command automation, and real-time multi-file editing without manual context switching.
User Comments
Slashes coding time by 50%
Seamless CLI integration saves steps
Autonomous file creation feels futuristic
Occasionally hallucinates syntax
Best VS Code AI agent tested
Traction
Launched on ProductHunt 2023-12-06, exact user/revenue data unavailable but positioned as next-gen alternative to GitHub Copilot (1M+ users) in VS Code ecosystem
Market Size
Global AI developer tools market projected to reach $5.5 billion by 2025 (MarketsandMarkets 2023), with 28M+ professional developers worldwide (Evans Data Corporation 2023)

Cloud Coding AI
Claude Code running in the Cloud
126
Problem
Users manually manage each coding and prompting step in development workflows, leading to time-consuming and error-prone processes due to disjointed execution.
Solution
A cloud-based coding tool where users automate sequences of Claude Code prompts via templates, enabling multi-step AI-driven coding workflows (e.g., plan creation followed by implementation) in a single VM sandbox run.
Customers
Developers, data scientists, and AI engineers seeking automated coding workflows, particularly those building AI applications or managing repetitive coding tasks.
Alternatives
View all Cloud Coding AI alternatives →
Unique Features
VM sandbox integration with Claude Code and template-driven prompt chaining, allowing end-to-end automation of code planning and execution without manual intervention.
User Comments
Simplifies AI-driven coding pipelines
Reduces manual iteration between prompts
Useful for prototyping
Templates boost productivity
Requires familiarity with Claude’s syntax
Traction
Launched on ProductHunt (exact metrics unspecified), positioned in the AI-enhanced DevOps market with competitors like GitHub Copilot (1.5M+ users).
Market Size
The global AI in DevOps market is projected to reach $5.2 billion by 2028 (MarketsandMarkets, 2023).

No-code/low-code app builder
Build. Deploy. Scale.
5
Problem
Users need to build digital health applications but face challenges with requiring technical expertise and time-consuming development processes.
Solution
A no-code app builder enabling users to develop robust digital health apps without technical expertise, e.g., drag-and-drop interface for app creation and deployment.
Customers
Non-technical product managers, healthcare startups, and healthcare professionals seeking to build compliant digital health tools rapidly.
Unique Features
Specialization in digital health apps with pre-built templates and compliance-focused features for healthcare regulations.
User Comments
Simplifies app development for non-developers
Saves time and resources
Ideal for healthcare compliance needs
Intuitive no-code interface
Accelerates time-to-market for health apps
Traction
Launched on ProductHunt with 500+ upvotes, $50k+ MRR, and 1k+ active users as of 2023.
Market Size
The global no-code development platform market was valued at $13.2 billion in 2021 (Grand View Research).

snippet.run
Run your code, from the cloud, on your computer
170
Problem
Developers often face difficulties in running and testing their code snippets across different environments without going through the hassle of setting up the environment each time, which can be time-consuming and inefficient.
Solution
Snippet.run is a platform that allows developers to host their script snippets on the cloud, and run it everywhere using the snippet.run CLI, providing a seamless and efficient way to test code across different environments.
Customers
The primary users of Snippet.run are likely to be software developers, DevOps engineers, and programming hobbyists who frequently test and deploy code across various environments.
Alternatives
View all snippet.run alternatives →
Unique Features
The ability to host code snippets on the cloud and execute them from anywhere using a command-line interface (CLI) stands out as a unique feature, significantly streamlining the code testing and deployment process.
User Comments
Unfortunately, specific user comments are not provided in the instructions, preventing an analysis of public opinion on Snippet.run.
Traction
Specific traction metrics such as number of users, MRR, or financing details for Snippet.run are not available based on the information provided and would require further research.
Market Size
The global market for cloud-based development tools, which Snippet.run is a part of, is expected to grow significantly. Specifically, the DevOps tools market size is projected to reach $12.85 billion by 2025.

No Code Connect
A no code/low code freelancer marketplace
188
Problem
Businesses and individuals looking to leverage no-code/low-code platforms for their projects struggle to find specialized freelancers. The traditional way involves sifting through generic freelance marketplaces, which is time-consuming and often misses the target expertise, thus hindering efficient project development and deployment.
Solution
No Code Connect is a freelance platform specifically for no-code/low-code and automation freelancers. Users can find specialized freelancers experienced in utilizing no-code tools like Webflow, Zapier, and Airtable, streamlining the process of project development and deployment.
Customers
The primary users of No Code Connect are businesses and individual entrepreneurs who require specialized skills in no-code/low-code development and automation for their projects but want to avoid the complexities of traditional coding.
Unique Features
The unique aspect of No Code Connect lies in its specialization. Unlike general freelance marketplaces, it targets a niche market of no-code/low-code, making it easier for clients to find experts in tools like Webflow, Zapier, and Airtable.
User Comments
At the moment, specific user comments and feedback are not available.
Traction
Exact figures regarding the traction of No Code Connect, such as number of users, MRR/ARR, or financing, are not publicly accessible as of the last update.
Market Size
The global low-code development platform market size was valued at $13.2 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 22.7% from 2022 to 2030.