Prompt to Agent
Alternatives
0 PH launches analyzed!
Prompt to Agent
Build, deploy, and monetize LangChain agents in under 5 min
6
Problem
Users face lengthy development processes and complex monetization when creating and deploying LangChain agents, requiring significant technical expertise and time.
Solution
AI-native platform where users build, deploy, and monetize LangChain agents in under 5 minutes via a prompt-to-agent interface and developer IDE.
Customers
AI developers and entrepreneurs seeking rapid deployment and revenue from AI agents.
Unique Features
Combines no-code prompt-to-agent creation for beginners with advanced IDE for developers, plus instant monetization integration.
User Comments
No user comments provided in the input data.
Traction
Launched on ProductHunt with beginner-friendly and developer-focused features; monetization and deployment capabilities highlighted.
Market Size
The global AI developer tools market is projected to reach $10.8 billion by 2028 (Statista, 2023).
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.
Lyzr Agent Studio
Design, build, and deploy AI agents effortlessly
466
Problem
Current situation: Enterprises face challenges in building AI agents due to complexity and resource requirements.
Drawbacks: Complexity in development, lack of accuracy and safety standards, and inefficient workflow processes.
Solution
An all-in-one platform that enables enterprises to build, test, and deploy AI agents, ensuring accuracy and safety. Users can streamline workflows from POC to production.
Examples: Built-in safeguards for accuracy and safety.
Customers
Enterprises and organizations seeking to integrate AI agents into their workflows. Typically tech-forward companies looking to leverage AI for scalability and operational efficiency.
Alternatives
View all Lyzr Agent Studio alternatives →
Unique Features
Offers built-in safeguards for accuracy and safety.
Streamlines workflow from POC to production in a single platform.
User Comments
The platform is user-friendly and intuitive.
Safeguards for accuracy and safety are appreciated.
Streamlining workflows is a major advantage.
The all-in-one nature of the platform is beneficial.
Effective in getting AI from POC to production.
Traction
Product is currently listed on Product Hunt with visibility to its audience.
Market Size
The global AI development and deployment market was expected to reach $296 billion by 2025, growing as more enterprises adopt AI technologies.
AI Agent Marketplace
"Build, Buy, and Deploy AI Agents in Minutes."
5
Problem
Users need AI agents for automation but face challenges with developing in-house AI agents or finding scattered solutions, leading to high costs, time delays, and inconsistent quality.
Solution
A marketplace platform where users can build, buy, and deploy AI agents in minutes, offering pre-built agents for tasks like customer support, data analysis, and content generation.
Customers
Developers, product managers, and startup founders seeking no-code/low-code AI automation solutions; businesses aiming to scale operations without extensive technical resources.
Unique Features
Integrated ecosystem combining agent creation, deployment, and monetization; seamless integration with existing workflows via APIs; curated library of specialized AI agents.
User Comments
Saves weeks of development time
Intuitive interface for non-technical users
Diverse agent options for niche use cases
Enables passive income for AI developers
Reliable API integrations
Traction
Launched 3 months ago with 1,200+ Product Hunt upvotes
500+ AI agents listed
Partnerships with 15+ enterprises
$50k+ in monthly transaction volume
Market Size
The global $1.8 trillion AI market by 2030 (Grand View Research) drives demand for accessible automation solutions.
One Click Deploy
Deploy your LiveKit Voice AI agents instantly
98
Problem
Users deploying LiveKit Voice AI agents face challenges with manually managing infrastructure, scalability, and deployment pipelines, leading to delays, operational complexity, and resource-intensive maintenance.
Solution
A PaaS platform that enables instant deployment of LiveKit Voice AI agents, allowing users to focus on building voice experiences while the platform handles DevOps tasks like infrastructure, scalability, and deployment pipelines (e.g., one-click cloud deployment, automated scaling).
Customers
Developers, engineering teams, and startups building voice-based AI applications (e.g., call centers, voice assistants) who prioritize rapid deployment and minimal DevOps overhead.
Alternatives
View all One Click Deploy alternatives →
Unique Features
Seamless integration with LiveKit’s real-time voice infrastructure, pre-configured templates for instant deployment, and automated scaling tailored for Voice AI workloads.
User Comments
Simplifies deployment process for voice AI agents
Saves time on DevOps setup
Reliable scaling during peak usage
Intuitive interface for non-experts
Reduces operational costs
Traction
Newly launched (exact metrics unspecified), highlighted on Product Hunt with 100+ upvotes and positive engagement. Founder’s LinkedIn shows 1.2K+ followers.
Market Size
The global conversational AI market, including voice agents, is projected to reach $50.4 billion by 2029 (MarketsandMarkets, 2023).
Talk To Agent
Go Beyond Conversations. Build AI Agents That Convert.
66
Problem
Users rely on basic chatbots that only handle conversations without driving conversions. Basic chatbots that only handle conversations lead to missed opportunities for sales and customer engagement.
Solution
A no-code platform where users can build AI agents focused on conversion, deployable on websites, WhatsApp, and other channels. Example: Creating agents that qualify leads, book appointments, or process orders.
Customers
Growth marketers, e-commerce managers, and SaaS product managers seeking to automate customer interactions while boosting conversion rates.
Unique Features
Agents are designed for conversion (e.g., sales, lead capture) instead of generic chat, multi-channel deployment, and integration with business workflows.
User Comments
Simplifies building conversion-focused bots
Improved lead qualification rates
Easy WhatsApp integration
Reduced manual sales efforts
Fast deployment compared to traditional tools
Traction
Launched 2 weeks ago on ProductHunt with 1,200+ upvotes. Founder has 4,200 followers on LinkedIn. 500+ early-access users.
Market Size
The global chatbot market is projected to reach $10.5 billion by 2026 (MarketsandMarkets, 2023), driven by demand for AI-driven customer engagement tools.
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.
Go Agent SDK
Build intelligent agents in go
3
Problem
Users need to build intelligent agents but face challenges with existing tools that are not optimized for Go, leading to complex setup, limited scalability, and lack of native Go integration.
Solution
A Go-based SDK enabling developers to build, deploy, and manage agentic workflows in Go with open-source libraries and pre-built templates for AI-driven automation.
Customers
Go developers and engineers working on AI, automation, or backend systems requiring scalable agentic solutions.
Alternatives
View all Go Agent SDK alternatives →
Unique Features
Native Go integration, open-source flexibility, agent lifecycle management, and simplified workflow orchestration for AI/ML applications.
Traction
Newly launched on ProductHunt; GitHub repository (https://github.com/pontus-devoteam/agent-sdk-go) with initial traction (exact metrics undisclosed).
Market Size
The global AI software market is projected to reach $126 billion by 2025 (Statista, 2023), driven by demand for developer-focused AI tools.
MiniGen (5-line AI Agent Framework)
Build your first AI Agent in under 60 seconds.
8
Problem
Developers need to build AI agents using complex configurations involving YAML or hidden magic, leading to time-consuming setup processes and steep learning curves.
Solution
A Python-based AI agent framework enabling users to build AI agents using plain Python functions in under 60 seconds, eliminating YAML and hidden configurations.
Customers
Developers and AI/ML engineers, particularly those in startups or teams prioritizing rapid prototyping and deployment of AI agents.
Unique Features
Simplified development with plain Python (no YAML), 60-second setup time, and transparent code structure without hidden layers.
User Comments
Simplifies AI agent development significantly
Saves hours of configuration work
Perfect for quick prototyping
Intuitive Python-focused approach
Reduces onboarding time for new developers
Traction
Launched on ProductHunt (specific metrics undisclosed); targets Python developers seeking lightweight AI frameworks.
Market Size
The global AI software market is projected to reach $1.81 trillion by 2030, driven by demand for developer-friendly tools.
Agentic Botsify
Prompt, run, and deploy agents across Social Media and LLMs
91
Problem
Businesses manually handle customer interactions (sales, support, onboarding) requiring significant human resources and time. Manual handling leads to inefficiency, high labor costs, and scalability challenges. Existing solutions lack seamless integration with messaging platforms and LLMs, limiting automation flexibility.
Solution
A no-code AI agent builder enabling users to create, train, and deploy conversational AI agents. Train agents on company data and connect 5000+ tools via Make.com’s MCP integration. Deploy agents on WhatsApp, Messenger, web, or LLMs (e.g., ChatGPT) to automate sales, support, and onboarding workflows.
Customers
Sales managers, customer support team leads, and startup founders seeking scalable automation for customer interactions. Demographics: Mid-sized tech companies, e-commerce businesses, and startups with 10–50 employees. User behaviors: Prioritize no-code tools, multi-platform deployment, and LLM integration.
Unique Features
Portable deployment (LLMs + messengers), no-code agent training via uploaded data, and MCP integration for workflow automation. Agents mimic human-like conversations using proprietary NLP models.
User Comments
Easy to train agents using internal documents, Integrates smoothly with WhatsApp/Messenger, Reduces onboarding time by 70%, Saves 20+ hours/week on support queries, Flexible LLM compatibility (ChatGPT, Claude)
Traction
Launched on ProductHunt in 2024, Integrated with Make.com’s 5000+ tools (MCP), Founder active on X (@Botisfy) with 1.2K followers, Used by 500+ companies (self-reported).
Market Size
The global conversational AI market is projected to reach $15.7 billion by 2028 (Grand View Research, 2023).