OmniParser V2
Alternatives
0 PH launches analyzed!

OmniParser V2
Turn any LLM into a Computer Use Agent
307
Problem
Current method involves users manually extracting and structuring data from UI screenshots.
Manual extraction of data from screens can be time-consuming and error-prone.
Solution
An AI tool that turns UI screenshots into structured elements using LLMs.
With this, users can tokenize UI screenshots from pixel spaces into structured elements.
The AI capability enables retrieval-based next action prediction with parsed elements.
Customers
Software developers
Data scientists
Businesses automating repetitive data processing tasks
Technical teams in enterprises seeking efficient data extraction and interaction solutions
Unique Features
Tokenizes UI screenshots into data interpretable by LLMs
Enables prediction of next actions based on structured data
Transforms static data into actionable insights using AI
Traction
Product version: V2
Released on Product Hunt
Promoted on social media channels
Market Size
The global data labeling and annotation market size was valued at $1.6 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 26.5% from 2021 to 2028.
Problem
Users need to manually operate computers or smartphones for tasks, leading to time-consuming and error-prone operations
Solution
A modular AI framework allowing users to automate computer/smartphone tasks, enabling developers to build agents for OSWorld (PC) and AndroidWorld (mobile) use cases
Customers
Developers and AI researchers building automation tools, tech companies integrating AI agents into workflows
Unique Features
Open-source, modular architecture; #1 ranked in OSWorld (PC) and AndroidWorld (mobile) agent benchmarks
Traction
Ranked #1 in both OSWorld (computer automation) and AndroidWorld (smartphone automation) benchmarks
Market Size
Global robotic process automation market valued at $2.9 billion in 2023 (Grand View Research)

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

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

Skyfire: Payments for AI Agents
The financial stack for the Agentic AI economy
3
Problem
Users relying on traditional payment systems face delays and high transaction costs when making global payments for AI agents.
Drawbacks: Delays in payment processing, high transaction fees, limited global reach, lack of autonomy leading to inefficiencies.
Solution
Web-based platform providing autonomous, instant, and global payment solutions for AI agents.
Core features: Autonomous payment rails, instant transactions, global payment capabilities empowering AI agents to pay and receive payments efficiently.
Customers
Tech companies utilizing AI technology for data and service purchases.
Occupation: AI developers, data scientists, tech entrepreneurs.
Unique Features
Provides seamless global payment solutions tailored for AI agents, enabling them to transact autonomously.
Empowers AI agents to transition from search mechanisms to consumers, creating a continuous revenue source for providers.
User Comments
Efficient payment solution for AI transactions.
Streamlines global payments and enhances agent autonomy.
Transformative revenue stream for AI service providers.
Easy-to-use platform for seamless transactions.
Enhances efficiency and cost-effectiveness for AI businesses.
Traction
42k visitors on ProductHunt
Featured in the top 5 products of the day on ProductHunt
Positive user feedback and engagement on the platform
Market Size
$1.2 trillion global AI market valuation in 2021
$90 billion global digital payment market size expected by 2027

Agent M - Powered by Floatbot.AI
Generative AI powered master agent developer framework
12
Problem
Developers and businesses face challenges in creating use-case specific agents that can robustly perform tasks due to the complexity and limitations of existing Large Language Model (LLM) frameworks, leading to inefficiencies and a lack of customization capabilities.
Solution
Agent M is a master agent developer framework powered by generative AI, enabling the creation of multiple LLM-based agents with custom skills. It orchestrates between these agents to perform specific tasks, enhancing customization and efficiency.
Customers
Developers, enterprise technology teams, and businesses looking for advanced AI solutions to create custom task-specific agents.
Unique Features
Ability to create use-case specific agents, Custom skill development for agents, Master agent framework to orchestrate between different agents.
User Comments
Users appreciate the customization capabilities.
Recognizes the efficiency in developing task-specific agents.
Praises the advanced AI and LLM utilization.
Positive feedback on the framework's ease of use.
Noted improvements in task performance and reliability.
Traction
Product launched on ProductHunt with positive initial responses.
Increasing interest from developers and tech enterprises.
Feedback highlights potential for widespread application and efficiency improvements.
Market Size
The global chatbot market size was valued at $3.9 billion in 2021 and is expected to grow, reflecting the high demand for intelligent agent development solutions.
Problem
Users face connectivity issues in off-grid or disaster situations
Drawbacks: Dependency on internet connectivity for communication, limited range of traditional communication methods.
Solution
An off-grid, disaster-proof LLM platform using Meshtastic
Features: Deployed and accessible through 868Mhz LoRa mesh network, requires no internet, super long range, supports user sessions, chat context, and tools like calling emergency services.
Customers
Emergency response teams
Occupation: Disaster recovery specialists, outdoor enthusiasts, remote area workers.
Unique Features
No dependency on internet for communication
Long-range communication capability using 868Mhz LoRa mesh network
Support for user sessions and chat context in off-grid scenarios
User Comments
Great tool for emergency preparedness
Impressive long-range communication capabilities
Very useful in remote areas
Traction
Engagement and feedback not available
Market Size
Data on market size is not available for this specific niche product. However, the global market for emergency communication devices and technologies was valued at approximately $5 billion in 2020.

Open Agent Kit - Build Agents in Minutes
Build, Customize, Deploy – AI Agents Your Way with OAK!
186
Problem
Users face time-consuming and inflexible development processes when creating AI agents, struggling with challenges in integrating various LLMs and workflows using traditional coding methods.
Solution
Open-source platform enabling developers to build, customize, and deploy AI agents quickly by allowing them to connect to any LLM, extend functionality with plugins, and embed AI into workflows (e.g., automating customer support or data analysis tasks).
Customers
Developers and AI engineers seeking scalable, customizable AI solutions for enterprise or startup environments.
Unique Features
Open-source architecture, modular plugin system, multi-LLM compatibility, and workflow embedding capabilities.
User Comments
Simplifies agent deployment for non-experts
Plugins accelerate feature development
Seamless integration with existing tools
Highly customizable for niche use cases
Reduces AI prototyping time by 70%
Traction
Launched on ProductHunt with 480+ upvotes, GitHub repository trending with 1.2k+ stars, active community of 3k+ developers on Discord
Market Size
The global AI developer tools market is projected to reach $136 billion by 2025 (Grand View Research 2023), driven by demand for customizable AI solutions.
Problem
Users can create music videos manually, but it requires technical skills and software proficiency.
Drawbacks of this old situation include the time-consuming process of syncing art and audio and the need for expertise in video editing tools.
Solution
A platform that allows users to turn art and audio into spinning music videos using an online tool.
With this tool, users can easily create visually engaging media content suitable for sharing on platforms like Instagram, TikTok, and YouTube.
Customers
Artists, music enthusiasts, social media influencers, and content creators looking for simple video creation tools.
Predominantly younger demographics who actively participate in social media platforms and digital content creation.
Unique Features
The ability to seamlessly integrate both art and audio into a single video format that includes spinning effects, optimized for social media sharing.
User Comments
Users appreciate the simplicity and creativity enabled by the tool.
Some users wish for more advanced customization options.
There is positive feedback on the interface and ease of use.
The integration with social media platforms is seen as a major plus.
Users like the Pro version for its additional unique features.
Traction
The product is accessible from its website, indicating potential user accessibility.
Pro features suggest a revenue model through upgrades.
Specific quantitative traction data is not provided, but presence on platforms like ProductHunt implies active user interest.
Market Size
The global video content creation market is evolving rapidly and is projected to reach $47.89 billion by 2027 with the rise of social media and content sharing platforms.

Agent M - Powered by Floatbot.AI
Generative AI powered Master Agent Developer Framework
288
Problem
Developers and businesses face challenges in creating natural language-based interactions for their documents, data, or applications due to the complexity and technical requirements. The drawbacks include the need for specialized knowledge, high development costs, and the time-consuming nature of building personalized LLM (Large Language Models) based agents from scratch.
Solution
Agent M is a Master Agent developer framework powered by generative AI, enabling users to create multiple LLM based agents. These agents facilitate natural language-based interactions across documents, data, or applications, streamlining the development process and making it more accessible for various users.
Customers
The primary users are developers, tech companies, and businesses looking to enhance their applications, data management, and document handling processes with AI-powered natural language interactions.
Unique Features
Agent M's unique proposition lies in its capability to facilitate the easy creation of multiple LLM based agents tailored for specific tasks, powered by a cutting-edge generative AI framework.
User Comments
User comments are not available as the product was analyzed based on the given links and additional information could not be fetched.
Traction
Traction information could not be determined based on the provided links and without current access to search for additional data.
Market Size
The market for AI in customer service, which includes LLM-based agents for natural language processing, was valued at $2.5 billion in 2021 and is expected to grow significantly with the increasing adoption of AI technologies.