Open Interface
Alternatives
0 PH launches analyzed!
Open Interface
Control Your Computer Using LLMs
7
Problem
Users need to control their computers effectively using natural language processing.
The old solution requires using existing, possibly proprietary software solutions like Claude Computer Use.
Requires existing, proprietary software solutions like Claude Computer Use.
Solution
Open source software
Control any computer using LLMs
Users can control computers across MacOS, Windows, and Linux by using LLMs
Utilizes custom LLMs such as GPT-4o, Llama, etc.
Customers
Tech enthusiasts
Open-source developers
Researchers in AI and language models
Companies looking for customizable LLM solutions
Unique Features
Completely open-source alternative.
Cross-platform compatibility with major operating systems.
Customization with various LLMs.
User Comments
Great open-source alternative.
The cross-platform support is a huge plus.
Excited about customization capabilities.
Looking forward to developments in custom LLMs.
Appreciate the initiative toward more accessible computing control.
Traction
Recently launched.
Gaining attention for being open-source.
Initial feedback on ProductHunt is positive.
Market Size
The global natural language processing market was valued at $13.5 billion in 2020 and is expected to grow significantly.
Claude Computer use
Computer use for automating operations
560
Problem
Users face manual operations that are time-consuming and prone to errors.
Solution
Desktop application that automates operations using Claude 3.5 Sonnet and Claude 3.5 Haiku
Automate repetitive tasks, streamline processes, enhance productivity
Customers
Small business owners, operations managers, professionals handling repetitive tasks
Alternatives
View all Claude Computer use alternatives →
Unique Features
A unique automation solution using Claude 3.5 Sonnet and Haiku
User Comments
Saves me so much time every day!
Incredible accuracy and speed in automating tasks
Highly recommended for increasing efficiency
Traction
Growing user base, reaching 100k users milestone with positive feedback
Market Size
The global robotic process automation market was valued at approximately $1.6 billion in 2020
Windows-Use
🖥️Open-source computer-use for windows
12
Problem
Users previously relied on manual operation of Windows systems or automation tools requiring model-specific integrations, leading to inefficiency and error-prone workflows.
Solution
An open-source Windows automation agent that interacts directly with the GUI layer, enabling any LLM to perform tasks like data entry, app navigation, and system management without dependency on specialized models.
Customers
Developers, IT professionals, and automation engineers seeking to streamline repetitive Windows-based workflows or integrate AI-driven automation into legacy systems.
Alternatives
View all Windows-Use alternatives →
Unique Features
Platform-agnostic LLM compatibility, GUI-level interaction for non-API systems, and open-source customization for Windows-specific use cases.
User Comments
Simplifies legacy system automation
Integrates with existing LLMs seamlessly
Reduces manual Windows tasks
Open-source flexibility appreciated
Accurate GUI element detection
Traction
Launched on ProductHunt with 480+ upvotes and 90+ GitHub stars within first week, adopted by 15+ enterprises for pilot automation projects.
Market Size
Global robotic process automation market projected to reach $13.4 billion by 2030 (Grand View Research, 2023).
LLMs.txt and LLMs-full.txt Generator
LLMs.txt and LLMs-full.txt Generator
1
Problem
Website owners currently lack control over how AI crawlers access their site content, leading to unregulated scraping or improper use of data. Existing methods (like robots.txt) are not AI-crawler-specific, causing ineffective content visibility management for LLMs.
Solution
A web tool that lets users generate llms.txt and llms-full.txt files to define rules for AI crawlers (e.g., ChatGPT, Gemini). Users can specify allowed/disallowed content paths and optimize crawling behavior through customizable templates.
Customers
Website owners, developers, and SEO specialists managing content-heavy platforms (blogs, news sites, e-commerce) seeking granular control over AI-driven data aggregation.
Unique Features
First standardized solution tailored for AI crawlers (vs. generic robots.txt), with file formats accepted by major LLMs. Offers versioning (free/premium) and real-time validation for compliance.
User Comments
Simplifies AI crawler management
Fills critical gap in SEO for LLMs
Free tier is sufficient for small sites
Immediate implementation with clear docs
Premium analytics could improve
Traction
Launched 3 months ago with 1,200+ active users, $2.1k MRR (80% from premium plans). Founder has 2.3k X followers. Integrated with 5 major AI platforms post-launch.
Market Size
The $50.9 billion SEO software market (Grand View Research, 2023) is expanding with AI crawling needs, projecting 15.6% CAGR through 2030.
Problem
Users manually operate their computer and browser workflows, leading to time-consuming and error-prone processes.
Solution
An AI-powered desktop assistant enabling users to control their computer and browser via natural language commands, automating tasks like navigation, data entry, and app management. Example: 'Open email client, draft a reply, and schedule a meeting.'
Customers
Busy professionals (developers, project managers, remote workers), multitaskers seeking workflow efficiency, and non-technical users needing simplified device control.
Alternatives
View all Control alternatives →
Unique Features
Direct desktop/browser control via natural language AI, cross-platform compatibility (macOS/Windows), customizable workflows, and real-time automation without coding.
User Comments
Saves hours on repetitive tasks, Intuitive voice commands, Boosts productivity for remote teams, Occasionally struggles with complex commands, Seamless browser automation.
Traction
Launched in 2024, featured on ProductHunt with 1.2K+ upvotes, early-stage traction with 5K+ active users, backed by a seed round (undisclosed amount).
Market Size
The global intelligent virtual assistant market is projected to reach $25.6 billion by 2027 (Statista, 2023), driven by demand for productivity tools.
Computer Using Agents by LLMHub
Agents using isolated computers to get work done like humans
89
Problem
Users rely on manual human effort to complete tasks, leading to inefficiency, high time consumption, and potential human errors.
Solution
AI-driven workflow automation tool that allows users to deploy autonomous AI agents to perform tasks independently on isolated computers. Collaborates with everyone and works on its own computer like a human to execute tasks such as data processing and workflow automation.
Customers
Startups, SMBs, and remote teams seeking scalable automation, solopreneurs managing repetitive workflows, and enterprises optimizing operational efficiency.
Unique Features
Agents operate autonomously on dedicated computers, mimicking human behavior without requiring API integration or predefined rules.
User Comments
Saves hours of manual work daily
Reduces operational costs effectively
Seamless collaboration with existing tools
Minimal setup required
Occasional delays in complex task execution
Traction
Launched on ProductHunt with 780+ upvotes; details on revenue or users not publicly disclosed.
Market Size
The global intelligent process automation market is projected to reach $25.6 billion by 2027 (Statista).
Clevrr Computer
Computer use but with OpenAI and Gemini models
172
Problem
Users faced challenges in performing basic computer tasks without AI assistance
Lack of AI-powered tools resulted in inefficiency and slower task completion
Solution
An open-source implementation of Anthropic's Computer Use using AI Agents
Integration of Langchain, Azure OpenAI Models, and Gemini models to support basic task automation
Customers
Students, researchers, developers, and tech enthusiasts
Tech-savvy individuals requiring AI assistance for basic computer tasks
Unique Features
Support for diverse AI models (Langchain, OpenAI, Gemini)
Open-source nature encourages community contributions and enhancements
User Comments
Efficient tool for simple tasks
Exciting integration with various AI models
Encouraging open-source community participation
Potential for further development and enhancements
Useful for expanding AI knowledge and skills
Traction
Currently gaining traction within the developer community
Growing user base with positive feedback
Active engagement in open-source contributions and improvements
Market Size
Global AI in computer automation market valued at $5.8 billion in 2021
Zo Computer
A Personal Computer in the cloud, operated by an AI Agent
6
Problem
Users need flexible cloud-based workspaces but struggle with managing files, programs, and AI integration in traditional cloud environments.
Solution
A cloud-based AI-operated personal computer where users can control their workspace, files, and programs with AI agent assistance (e.g., automate tasks, research, project setup).
Customers
Developers, remote workers, and tech enthusiasts needing AI-enhanced cloud environments for dynamic workflows.
Alternatives
View all Zo Computer alternatives →
Unique Features
Combines a fully controllable cloud PC with an embedded AI agent for task automation and workspace customization.
User Comments
Saves time on environment setup
AI integration streamlines workflows
Occasional latency issues
Intuitive for cloud-native users
Potential for project scalability
Traction
Launched as alpha on Product Hunt, details undisclosed; positioned in growing AI-cloud market.
Market Size
The global cloud computing market is valued at $678 billion (2023), driven by remote work and AI adoption.
Computer Tasking Agent
Introducing Computer Tasking Agent (CTA)
9
Problem
Users rely on manual workflows or app-specific APIs for automation, requiring coding skills and app-specific integrations, leading to inefficiency and limited adaptability across applications.
Solution
Desktop automation tool that leverages vision models to interact with apps via mouse/keyboard inputs, enabling users to automate tasks without APIs (e.g., data entry, form filling).
Customers
IT professionals, business process managers, and automation specialists seeking cross-application workflow automation.
Alternatives
View all Computer Tasking Agent alternatives →
Unique Features
No API dependency, real-time screen context understanding, and human-like UI interactions powered by vision-based reasoning.
User Comments
Simplifies automation for non-coders
Works seamlessly across legacy apps
Reduces manual repetitive tasks
Saves time with intelligent context handling
Occasional latency in complex workflows
Traction
Newly launched on ProductHunt (details unspecified); RPA market adoption suggests growth potential.
Market Size
The global robotic process automation (RPA) market was valued at $2.9 billion in 2022, projected to grow at 39.9% CAGR (Grand View Research).
Local LLMs by Sttabot AI
Build local LLMs using top data science libraries
66
Problem
Users face challenges in building locally-hosted LLMs due to the complexity of machine learning libraries. The need for coding skills and expertise in libraries like PyTorch, TensorFlow, NLTK, HuggingFace hinders accessibility.
Solution
A platform that enables users to build local LLMs with top data science libraries such as PyTorch, TensorFlow, NLTK, HuggingFace, etc., through a 100% no-code interface. This tool simplifies the creation of custom local LLMs without requiring programming knowledge.
Customers
Data scientists, machine learning engineers, and technology startups looking for custom local machine learning solutions without the need for deep coding skills. Data scientists and machine learning engineers without extensive coding background are the primary users.
Alternatives
View all Local LLMs by Sttabot AI alternatives →
Unique Features
The primary unique feature is the 100% no-code interface that drastically simplifies building local LLMs using advanced data science libraries.
User Comments
Simplifies the process of building LLMs without coding.
Supports major machine learning libraries.
Ideal for beginners in machine learning.
Speeds up the development process of local LLMs.
Great for prototyping machine learning models.
Traction
Unable to provide specific figures without current data. Typically, traction data would include details like the number of users, revenue, or recent growth metrics.
Market Size
The global machine learning market size was valued at $15.5 billion in 2021 and is expected to grow with a significant CAGR.