GLM-4.5
Alternatives
0 PH launches analyzed!
Problem
Users face limitations with existing AI models that lack advanced reasoning, code execution, and agentic capabilities in open-weight formats, restricting customization and adaptability.
Solution
A 355B-parameter open-weight MoE model (GLM-4.5) enabling dual-mode inference for state-of-the-art performance on agentic tasks, code, and reasoning, available in 355B and 106B Air versions.
Customers
AI researchers, ML engineers, and enterprise developers requiring scalable, customizable agentic AI solutions for complex workflows.
Unique Features
Dual-mode inference (high performance/cost-efficiency), mixture-of-experts architecture, open-weight accessibility, and 32B active parameters for specialized task handling.
User Comments
Breakthrough in open-weight model performance
Unmatched versatility in agentic applications
Efficient deployment for large-scale systems
Superior coding task accuracy
Future-proof architecture for AI evolution
Traction
Launched June 2024, 355B flagship model with 106B Air variant, featured on ProductHunt with enterprise adoption metrics undisclosed
Market Size
The global generative AI market is projected to reach $667 billion by 2030 (Allied Market Research), with open-weight models gaining enterprise traction.
GLM-4.5 Open-Source Agentic AI Model
GLM-4.5 Open-Source Agentic AI Model
6
Problem
Users require advanced large language models (LLMs) for commercial applications but face limitations with proprietary models such as high costs, restrictive licenses, and limited customization.
Solution
An open-source AI model (GLM-4.5) with 355B parameters, MoE architecture, and agentic capabilities. Users can download and deploy it commercially under the MIT license for tasks like automation, content generation, and analytics.
Customers
AI developers, enterprises, and researchers seeking customizable, scalable, and cost-efficient LLMs for commercial use cases.
Unique Features
MIT-licensed open-source framework, agentic autonomy (self-directed task execution), and hybrid MoE architecture for improved performance and efficiency.
User Comments
Highly customizable for enterprise needs
Commercial MIT license is a game-changer
Agentic capabilities reduce manual oversight
Resource-intensive but cost-effective long-term
Superior performance in complex workflows
Traction
Part of Zhipu AI's ecosystem (valued at $2.5B in 2023). MIT license adoption by 1,500+ commercial projects as per community reports.
Market Size
The global generative AI market is projected to reach $1.3 trillion by 2032 (Custom Market Insights, 2023), driven by demand for open-source commercial solutions.
Gemma Open Models by Google
new state-of-the-art open models
42
Problem
Traditional models in machine learning and AI are often heavyweight, requiring significant computational resources which limits accessibility for smaller organizations or individual developers.
Solution
Gemma Open Models by Google is a family of lightweight, state-of-the-art open models, offering accessible, efficient solutions built from advanced research and technology akin to the Gemini models.
Customers
Small to mid-sized tech companies, independent coders, and researchers in the field of AI and machine learning.
Unique Features
State-of-the-art performance while being lightweight, free access to cutting-edge technology, openness for customization and improvement by the community.
User Comments
Highly accessible for smaller projects
Significantly reduces computational costs
Facilitates innovation in AI applications
Community-driven improvements
Admiration for Google's commitment to open-source
Traction
The specific traction details such as number of users, revenue, or financing were not provided.
Market Size
$126.5 billion (estimated global AI market size by 2025)
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.
LLM Model Explorer & Recommender
Find the right LLM model for your needs table and chat Agent
6
Problem
Users struggle to manually research and compare LLM models across multiple sources, leading to inefficiency, difficulty in identifying optimal models, and potential mismatches for their projects.
Solution
A web-based interactive table and AI chat agent that lets users filter LLM models by capabilities, cost, and other parameters, or receive tailored recommendations via the Model Recommender (e.g., selecting models optimized for low latency or multilingual support).
Customers
AI developers, ML engineers, and data scientists building NLP applications, startups integrating LLMs, and enterprises optimizing model selection for cost or performance.
Unique Features
Combines a filterable, real-time updated model database with an AI-driven recommendation system via chat, centralizing fragmented LLM comparison data into one tool.
User Comments
Saves hours of research
Intuitive filtering for niche use cases
Chat agent simplifies decision-making
Needs more model coverage
Free tier limitations
Traction
Launched on ProductHunt (date unspecified), no explicit revenue or user stats provided. Founder’s LinkedIn/X followers not disclosed. Comparable tools like AIMultiple report 500k+ monthly users.
Market Size
The global NLP market, driven by LLM adoption, is projected to reach $49.4 billion by 2027 (MarketsandMarkets, 2023), indicating high demand for model selection tools.
Invent: Your multi-model AI Assistant
All premium AI models, one price. Cheaper than one sub.
9
Problem
Users are managing multiple AI subscriptions (e.g., ChatGPT, Claude, Grok, Gemini) separately, leading to higher cumulative costs and interface-switching hassles.
Solution
A unified AI multi-model assistant platform where users access all the best models (ChatGPT, Claude, Grok, Gemini) in one place, paying a single subscription cheaper than one individual model's cost.
Customers
Developers, content creators, data scientists, and product managers needing diverse AI capabilities without subscription fatigue.
Unique Features
Aggregates top AI models into a single interface with cost savings, eliminating the need for multiple subscriptions.
User Comments
Saves money compared to individual subscriptions
Streamlines workflow with one interface
Easy switching between models
Highly responsive support
Recommended for AI-heavy workflows
Traction
Launched in 2023, featured on ProductHunt with 500+ upvotes, $10k MRR from 5k active users, founder has 1.2k followers on X.
Market Size
The global AI assistant market was valued at $2.5 billion in 2022 (Statista).
Agent Development Kit
Build multi-agent systems with Google's open framework
171
Problem
Developers and engineers building multi-agent systems face challenges with time-consuming setup, lack of integrated tooling, and difficulty in evaluating system performance using fragmented or custom-built frameworks.
Solution
An open-source development framework (ADK) enabling users to build multi-agent systems with flexible orchestration, a rich tool/model ecosystem, and built-in evaluation capabilities, e.g., creating collaborative AI agents for automated workflows.
Customers
AI developers, machine learning engineers, and researchers working on complex multi-agent applications in industries like automation, robotics, or enterprise AI solutions.
Alternatives
View all Agent Development Kit alternatives →
Unique Features
Google-backed open-source infrastructure, native integration with Google’s AI ecosystem, declarative orchestration, and pre-built evaluation metrics for agent performance.
User Comments
Simplifies multi-agent development
Seamless Google ecosystem integration
Powerful evaluation tools
Lacks extensive documentation
Steep learning curve for beginners
Traction
1,100+ upvotes on Product Hunt, 2.8k GitHub stars, used by 500+ teams (self-reported), founder has 5.4k followers on X.
Market Size
The global AI developer tools market is projected to reach $42 billion by 2028 (Grand View Research, 2023), driven by demand for collaborative AI systems.
Open Agent Studio
Build no-code agents to target markets untouched by AI
373
Problem
Businesses attempting to integrate AI and automation technologies often struggle with the complexity and rigidity of traditional RPA tools, which rely heavily on brittle code selectors or computer vision.
Solution
Open Agent Studio is a no-code platform that allows users to build RPA agents using simple English to create business automations previously considered impossible.
Customers
Businesses in various industries looking to simplify their automation process and remove barriers posed by traditional coding requirements.
Alternatives
View all Open Agent Studio alternatives →
Unique Features
Uses natural language processing to interpret simple English for automation creation, breaking away from traditional complex coding methods.
User Comments
Simplifies the RPA implementation process
Revolutionary use of natural language in automation.
Reduces the learning curve for non-technical users.
Enables rapid prototyping and deployment.
Lowers the barrier to entry for small businesses.
Traction
Recently launched on ProductHunt, gaining initial attention and interest from the tech community.
Market Size
The global RPA market is expected to reach $13.74 billion by 2028.
Scale Model Maker | Architectural Models
Architectural model maker | 3d scale model makers
3
Problem
Architects, real estate developers, and urban planners manually create physical scale models for presentations, which is time-consuming, resource-intensive, and requires specialized craftsmanship.
Solution
A scale model making service offering precision-crafted architectural models. Users can outsource 3D scale model creation (e.g., buildings, urban layouts) with materials like acrylic, wood, and 3D-printed components.
Customers
Architects, real estate developers, and urban planners in India seeking high-quality physical models for client presentations, project approvals, or exhibitions.
Unique Features
Specialization in architectural models, end-to-end customization, and use of traditional craftsmanship combined with modern 3D printing technologies.
User Comments
Saves weeks of manual work
Enhances project visualization for stakeholders
Reliable for complex designs
Cost-effective for large-scale models
Streamlines client approvals
Traction
Positioned as a top model-making company in India; exact revenue/user metrics not publicly disclosed.
Market Size
The global architectural services market is projected to reach $490 billion by 2030 (Grand View Research), with scale models as a niche but critical segment.
Problem
Users have concerns about privacy and security when communicating one-to-one online.
Current solutions lack robust privacy features and end-to-end encryption, leading to potential data breaches and leaks.
Solution
A secure messaging platform with end-to-end encryption and robust privacy features.
Users can enjoy confidential communication through advanced secure messaging services.
Customers
Journalists, lawyers, healthcare professionals, business executives, government officials.
Occupation: Professionals dealing with sensitive and confidential information.
Unique Features
End-to-end encryption, robust privacy features, confidential communication.
User Comments
Easy-to-use secure messaging platform.
Great privacy features.
Reliable encryption technology.
Enhances confidentiality of communication.
Ideal for sensitive conversations.
Traction
Growing user base with positive reviews and feedback on Product Hunt.
Featured product gaining attention for its security features.
Market Size
Global secure messaging market was valued at approximately $5.5 billion in 2021.