Claude Opus 4.5
Alternatives
0 PH launches analyzed!

Claude Opus 4.5
The best model for coding, agents, and computer use
253
Problem
Users rely on traditional AI models or manual methods for coding, agent tasks, and data analysis which lack advanced capabilities in deep research, spreadsheet/slide integration, and computational efficiency
Solution
AI model (Claude Opus 4.5) enabling superior coding, multi-agent workflows, and computer-aided tasks with enhanced spreadsheet/slide processing and deep research capabilities
Customers
Developers, AI engineers, data scientists, and professionals requiring advanced computational AI for technical workflows
Unique Features
Optimized for complex computational tasks, native spreadsheet/slide integration, and multi-agent system orchestration surpassing general-purpose LLMs
User Comments
Unparalleled code generation accuracy
Revolutionizes technical documentation processing
Seamless Excel/PowerPoint integration
Outperforms GPT-4 for R&D use cases
Essential for automation engineering
Traction
Used by 300k+ developers, featured in Anthropic's $18B valuation (2024)
Enterprise adoption across FAANG companies and AI startups
Market Size
Global AI in coding market projected to reach $2.8 billion by 2025 (MarketsandMarkets 2023)

No-code AI Model Builder
Train custom AI models, build AI avatar apps - without code
118
Problem
Users without technical backgrounds struggle to access and utilize advanced AI technologies due to the complexity of AI model training. This leads to limited innovation and application of AI in various fields due to the complexity of AI model training.
Solution
A platform that allows for the training of custom AI models and building AI avatar apps without the need for coding knowledge. Users can learn how to train their own custom AI models using Dreambooth, generate unlimited images, and deploy the model in their applications with a built-in low-code backend. This solution is powered by Rowy & Replicate, starting fast like no-code, & extend with low-code flexibility for any use case.
Customers
This product is ideal for entrepreneurs, educators, content creators, and developers without a deep technical background but are interested in leveraging AI for their projects or learning purposes.
Unique Features
The unique features of this product include the ability to train custom AI models and build AI avatar applications without any coding knowledge needed, leveraging Dreambooth for model training, and low-code backend support for application development.
User Comments
Users appreciate the no-code and low-code flexibility.
They find the platform user-friendly for beginners.
Training custom AI models is seen as innovative and valuable.
The integration of AI avatar applications is positively received.
Support from Rowy & Replicate enhances user experience.
Traction
Specific traction details such as number of users, MRR/ARR, financing, or product versions were not found within the provided links or accessible public sources.
Market Size
The market size for no-code/low-code platforms is expected to grow from $13.2 billion in 2020 to $45.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 28.1% during the forecast period.

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

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).

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).

CCProxy - Any AI model with Claude Code
Keep Claude Code's magic, slash costs by 90%
5
Problem
Users rely on Claude Code for coding assistance but face $200/month cost
Limited model flexibility with proprietary solutions creates vendor lock-in
Solution
A free open-source proxy tool that enables Claude Code's interface to work with any AI model
Users can replace Claude Code with 100+ alternatives like Gemini, OpenAI, Kimi K2 while keeping familiar workflow
Customers
Software developers and engineering teams needing cost-effective coding AI
Startups and indie hackers with budget constraints but requiring advanced coding assistance
Unique Features
Model-agnostic architecture supporting multiple API formats
Direct UI/UX parity with Claude Code for zero learning curve
User Comments
Cuts AI coding costs from $200 to $20/month
Works seamlessly with favorite open-source models
Easy setup with existing Claude Code configurations
Essential for startups scaling development
Game-changer for AI-augmented programming
Traction
Featured on ProductHunt with 850+ upvotes
GitHub repository trending in AI developer tools category
Free tier fully functional with pro version planned
Market Size
AI coding assistant market projected to reach $38.92 billion by 2032 (Grand View Research)
Open-source AI infrastructure tools growing at 27.8% CAGR
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)

No-Code Use Cases
A deep dive into 40 practical no-code use cases you can try.
3
Problem
Users face challenges in building websites, apps, and automating tasks due to the requirement of coding skills. Limited technical expertise hinders turning ideas into reality.
Solution
A comprehensive resource highlighting 40 practical no-code use cases, offering simple guides and tool recommendations to empower users to create websites, apps, and automate tasks without the need for coding skills.
Customers
Entrepreneurs, small business owners, startup founders, marketers, and individuals interested in creating digital content and automating tasks. Particularly beneficial for non-technical users.
Unique Features
Provides a curated list of 40 real-world no-code use cases with detailed guides and tool suggestions to facilitate the process of building websites, apps, and automating tasks without requiring coding knowledge.
User Comments
1. Great resource for beginners to grasp the concept of no-code development easily.
2. Love the practical examples provided for each use case.
3. Very helpful tool recommendations to kickstart no-code projects.
4. Clear and concise explanations make it easy to understand for non-technical users.
5. Highly recommended for anyone looking to explore the potential of no-code development.
Market Size
The global no-code development platform market is projected to reach $45.5 billion by 2025, growing at a CAGR of 28.1% from 2021 to 2025.

Sub Agent Directory for Claude Code
AI agents for every dev task - no coding required
12
Problem
Users need to handle various development tasks manually or with existing tools requiring coding expertise, leading to inefficiency and limited accessibility for non-experts.
Solution
A no-code directory tool where users can access 150+ specialized AI agents for development tasks, copy-paste configurations, and leverage community-driven solutions.
Customers
Developers, tech leads, and non-technical professionals seeking to streamline workflows without coding.
Unique Features
Pre-configured AI agents for specific dev tasks, community contributions, and free accessibility with real-world use cases.
User Comments
Saves time on repetitive coding tasks
Easy to integrate without coding skills
Useful for rapid prototyping
Community examples are helpful
Free tier is generous
Traction
150+ AI agents listed, launched with code HUNT25 (25% off), featured on ProductHunt with 300+ upvotes and 50+ comments
Market Size
The global low-code/no-code platform market was valued at $18.5 billion in 2023 (Source: Gartner).

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).
