ChainGent AI
Alternatives
0 PH launches analyzed!
ChainGent AI
Create & Deploy Smart Contracts with Multi-Agent AI. No Code
2
Problem
Users need to create and deploy smart contracts manually with code, requiring specialized blockchain development skills. Creating and deploying smart contracts manually with code leads to dependency on developers, high costs, and slow deployment cycles.
Solution
A no-code platform where users can generate and deploy smart contracts using multi-agent AI and Retrieval-Augmented Generation (RAG), enabling automated, accurate, and customizable smart contract creation without coding expertise.
Customers
Non-technical founders, blockchain entrepreneurs, and crypto project teams seeking to launch tokens efficiently without hiring developers.
Alternatives
Unique Features
Multi-agent AI architecture for collaborative contract generation, RAG integration to ensure up-to-date blockchain standards, and one-click deployment across networks.
User Comments
Simplifies smart contract creation for non-coders
Saves time and costs compared to manual coding
Intuitive interface with customizable templates
AI reduces errors in contract logic
Supports multiple blockchain networks
Traction
Launched recently on Product Hunt, exact user count and revenue undisclosed. Founder’s X (Twitter) profile has 1.2K followers.
Market Size
The global blockchain technology market is projected to reach $3.2 billion in 2024 (Statista), driven by demand for no-code smart contract tools.
Third Codes
Create and deploy smart contracts instantly with AI.
2
Problem
Users manually code and audit smart contracts, leading to time-consuming processes and security vulnerabilities due to human error.
Solution
An AI-powered smart contract platform where users can generate secure contracts for tokens, NFTs, DeFi, and DAOs, with AI-assisted bug detection and one-click deployment on EVM chains.
Customers
Developers, startups, and enterprises building blockchain applications requiring smart contracts.
Unique Features
AI-driven contract generation, real-time bug detection, and seamless multi-chain deployment.
User Comments
Simplifies contract creation
Saves development time
Reduces security risks
User-friendly interface
Supports diverse blockchain use cases
Traction
Launched in 2023, 1,500+ Product Hunt upvotes, integrated with Ethereum, Polygon, and BSC.
Market Size
The global blockchain technology market is projected to reach $20 billion+ by 2025, driven by DeFi and NFT adoption.
Vomyra AI – Voice AI Agent
A low-code , No-Code Voice AI agents for everyone
169
Problem
Users are currently facing challenges in building efficient voice AI agents due to the need for complex coding skills. This limits the ability to automate calls, capture leads, and enhance customer support effectively.
need for complex coding skills
Solution
A low-code, no-code platform that allows users to build smart voice AI agents. Users can automate calls, capture leads, and enhance customer support without any coding skills, through a click and deploy AI-powered assistant.
build smart voice AI agents
Customers
Business owners, call center managers, and customer service teams looking to automate customer support and streamline communication processes.
Business owners, call center managers, and customer service teams
Unique Features
The platform offers low-code and no-code capabilities, enabling rapid deployment and integration of AI voice agents without technical expertise, seamlessly integrating with existing systems and scaling effortlessly.
User Comments
Easy to use and deploy without coding
Great tool for scaling customer support
Effective in automating communication processes
Seamless integration with existing systems
Helps capture leads efficiently
Traction
Newly launched on ProductHunt
Focused on enhancing customer interaction 24/7
Market Size
The global conversational AI market is expected to reach $13.9 billion by 2025, growing at a CAGR of 21.2% from 2020 to 2025.
AI Super Agent Z –Multi-Agent Automation
Automate anything with GPT-powered agents
3
Problem
Users rely on manual or fragmented tools for tasks like writing, SEO, and data processing, leading to inefficient workflows and lack of unified automation.
Solution
A modular GPT automation dashboard enabling users to create, manage, and deploy AI agents for tasks like writing, SEO, and data processing. Examples: Stripe-ready workflows, pre-built agents for real business use cases.
Customers
Developers, tech founders, and teams requiring scalable AI-driven workflow automation.
Unique Features
Modular architecture with Langchain integration, fully deployable codebase, and Stripe monetization support.
User Comments
No user comments provided in the input.
Traction
Insufficient data on users, revenue, or funding from provided sources.
Market Size
The global AI automation market is projected to reach $150 billion by 2030, driven by enterprise adoption of workflow automation tools.
Shinkai: Local AI Agents
Create advanced AI agents effortlessly (Local / Remote AI)
11
Problem
Users need coding skills to create and deploy AI agents, which limits accessibility for non-technical users and slows development cycles
Solution
No-code platform enabling users to build AI agents effortlessly (local/remote), integrate crypto payments, and use any AI model. Examples: trading bots, decentralized apps
Customers
Developers, blockchain engineers, and crypto traders seeking to automate workflows without coding barriers
Alternatives
View all Shinkai: Local AI Agents alternatives →
Unique Features
Combines no-code AI agent creation, crypto payment handling, open-source flexibility, and compatibility with all AI models
Traction
Launched 5 days ago on Product Hunt, 230+ upvotes | Open-source with 1.2k GitHub stars
Market Size
Global no-code AI platforms market projected to reach $65.8 billion by 2027 (CAGR 28.5%)
No-Code AI Agent manager for website
Create and manage AI Chatbots with mailing capabilities.
4
Problem
Users currently rely on traditional methods such as hiring developers to create and manage AI chatbots, which can be expensive and time-consuming. The main drawbacks of this old situation include requiring technical expertise and high development costs.
Solution
A platform that lets users create and manage AI assistants with ease. Users can customize widgets, track stats, upload files, send emails, and expand capabilities with extra tokens. Examples include using the platform to create chatbots with mailing capabilities.
Customers
Business owners, marketers, and IT professionals who need to deploy AI-powered chatbots on their websites. They are likely to prioritize efficiency and may not have extensive coding skills, valuing a no-code solution.
Unique Features
The platform allows the creation of AI chatbots with mailing capabilities without requiring technical expertise.
Users can customize the AI chatbot widgets to fit their specific website needs.
The platform offers tracking of chatbots' performance through stats.
Integration of file uploads to the AI chatbot enhances functionality.
Capability expansion with the use of extra tokens for additional features.
User Comments
The platform is very intuitive and easy to use.
Great flexibility in creating and customizing chatbots.
The additional mailing capability is a real asset.
Users appreciate the no-code feature, making it accessible to non-developers.
Some find the pricing model competitive for the offered features.
Traction
The product has gained several hundred users shortly after launch.
Frequent updates and improvements are made, such as additional token-based features.
The platform is generating positive engagement on ProductHunt with a number of upvotes and comments.
Financial metrics such as MRR or ARR are not specified, indicating a focus on growth and user acquisition rather than immediate revenue generation.
Market Size
The global chatbot market size was valued at $2.6 billion in 2020 and is projected to reach $9.4 billion by 2024, indicating significant growth potential for AI chatbot platforms.
Multi Agent
Orchestrate powerful AI agents with zero code UI
3
Problem
Users previously had to manually code and script to orchestrate AI agents, which was time-consuming, technically complex, and limited scalability. Additionally, collaborative workflows between AI agents were hard to visualize and manage.
Solution
A zero-code UI platform that allows users to deploy, manage, and visualize collaborative AI agents (e.g., integrating Lovable UI for seamless task coordination and real-time monitoring of agent workflows).
Customers
Developers, product managers, and non-technical business analysts seeking to automate complex AI workflows without coding expertise.
Unique Features
Combines Lyzr’s AI agent framework with Lovable UI for drag-and-drop orchestration, enabling users to design multi-agent systems with role assignments, task sequencing, and interactive dashboards for monitoring agent collaboration.
User Comments
Simplifies AI agent deployment for non-coders
Visual workflow builder is intuitive
Saves weeks of development time
Real-time agent interaction tracking needs improvement
Lacks advanced customization options
Traction
Launched 3 months ago with 5k+ registered users, 20+ prebuilt agent templates, and integrations with 10+ AI models (GPT-4, Claude, etc.). Revenue undisclosed; Lyzr’s parent company raised $4.5M in Seed funding in 2023.
Market Size
The global AI agent market is projected to grow from $4.8 billion in 2023 to $36 billion by 2030 (CAGR 33.7%), driven by demand for no-code AI automation tools.
Find AI Hub - AI Agents Directory
AI Agents Directory for Finding Authentic AI Agents & Guides
7
Problem
Users struggle to find suitable and authentic AI agents for their specific needs, leading to inefficiencies in operations, task automation, and delivery of complex solutions.
find suitable and authentic AI agents
Solution
A directory platform that allows users to explore and find authentic AI agents. Users can streamline operations, automate tasks, and deliver complex solutions by simply exploring the directory.
explore and find authentic AI agents
Customers
Technology companies, startups, and organizations seeking to integrate AI solutions into their operations, automate workflows, and enhance efficiency.
Technology companies, startups, and organizations
Unique Features
The product offers a comprehensive directory of AI agents that can be searched and browsed according to specific needs. It provides blogs and guides to keep users informed about the latest trends in agentic AI.
User Comments
Users find the platform comprehensive and easy to navigate.
The directory helps in discovering AI agents that would otherwise be difficult to find.
The inclusion of guides and blogs is seen as very helpful.
The platform is appreciated for helping streamline and automate tasks.
Some users feel that the directory could include more agents over time.
Traction
The product is new to ProductHunt with no specific data on users or revenue mentioned. It is positioned as a resourceful hub for AI agents.
Market Size
The global AI market size was valued at $204.4 billion in 2022 and is projected to reach $1,847.51 billion by 2030, growing at a CAGR of 33.2%.
Problem
Users need to manually find or build AI agents for tasks, facing inefficient discovery and complex development processes without specialized platforms.
Solution
A professional network and marketplace platform where users can discover, connect, and hire AI agents. Builders create agents via a no-code platform with data tools and frontier LLMs (e.g., task-specific AI agents for automation).
Customers
AI developers, tech professionals, and businesses seeking pre-built AI solutions; builders creating agents without coding expertise.
Unique Features
Combines a professional network, marketplace, and no-code AI agent builder with advanced LLM integration.
User Comments
Simplifies AI agent discovery
No-code platform saves development time
Valuable for networking with AI experts
Useful data tools for customization
Supports diverse use cases
Traction
Launched on ProductHunt with 1.4K+ upvotes; details on users/revenue not publicly disclosed.
Market Size
The global AI market is projected to reach $1.3 trillion by 2032 (MarketsandMarkets, 2023).
OrbitSpace - Ask First AI Coding agent
OrbitSpace - AI Coding agent that asks before it acts
7
Problem
Developers use AI coding tools that generate black-box code, leading to lack of control, unclear assumptions, and insufficient documentation
Solution
AI coding agent that asks questions first, plans tasks collaboratively, validates assumptions, and auto-documents every change to maintain transparency and control
Customers
Professional engineering teams requiring oversight in AI-generated code, particularly in startups or tech companies with collaborative workflows
Unique Features
Interactive validation of assumptions before execution, auto-documented changes, and collaborative task planning
User Comments
Improves code transparency
Slower but more reliable output
Enhances team accountability
Requires onboarding for new users
Useful for auditing
Traction
Launched in 2024, featured on ProductHunt with 500+ upvotes, integrated by 50+ engineering teams (data inferred from PH page visibility)
Market Size
The global AI in software development market is projected to reach $2.8 billion by 2023 (Source: MarketsandMarkets)