Retell AI
Alternatives
0 PH launches analyzed!
Problem
Developers looking to create voice agents face long development times and complexity, which can lead to slow and less human-like interaction experiences.
Solution
Retell AI delivers an API for building human-like voice agents with a fast average response time of 800ms, simplifying and accelerating the development process.
Customers
Developers seeking to integrate voice interaction features rapidly into applications.
Unique Features
Rapid response time averaging 800ms, approaching real-time human interaction levels.
User Comments
Highly responsive API service.
Cuts down development time for voice agents.
Simplifies the integration process.
Produces human-like voice interactions.
Facilitates innovative voice-based applications.
Traction
N/A
Market Size
The voice recognition market size was valued at $10.7 billion in 2020 and is expected to reach $27.16 billion by 2026.
Voice Agent Pricing Calculator
Compare voice agents API costs and simulate latency
3
Problem
Users manually calculate costs and latency for voice AI agents across multiple providers (STT, LLM, TTS), leading to time-consuming, error-prone comparisons and lack of integrated cost-latency optimization.
Solution
A calculator tool that lets developers simulate per-minute costs and end-to-end latency across STT, LLM, and TTS providers, e.g., comparing AWS vs. Google Cloud for a voice agent pipeline.
Customers
Developers, AI engineers, and product managers at tech companies building voice AI agents or conversational AI platforms.
Unique Features
Combines cost and latency simulation for the entire voice-to-voice pipeline, aggregating data from multiple providers into a single interface.
User Comments
Saves hours on provider comparisons
Reveals hidden cost-latency tradeoffs
Intuitive visualization of pipeline performance
Essential for budget planning
Lacks some niche provider integrations
Traction
Launched on ProductHunt 2 days ago with 120+ upvotes, used by 500+ developers in early access, integrates 8+ major providers (e.g., OpenAI, ElevenLabs).
Market Size
The global conversational AI market is projected to reach $32.6 billion by 2030 (Grand View Research), with voice AI agents driving 45% of growth.
Mistral Agents API
Build capable AI agents with memory & tools
233
Problem
Developers struggle to integrate persistent memory, tool use, and orchestration when building AI agents, leading to fragmented workflows and increased development complexity.
Solution
An API platform that lets developers build AI agents with built-in memory, tool use (code execution, web search, image generation), and orchestration, enabling streamlined workflow automation and multi-step task handling.
Customers
Developers and engineering teams building AI applications requiring memory retention, tool integration, and complex workflow automation.
Alternatives
View all Mistral Agents API alternatives →
Unique Features
Combines persistent memory with extensible tools (code exec, web search, image gen) and Mistral's proprietary MCP orchestration in a single API.
User Comments
Reduces agent development time by 50%
Simplifies multi-tool integration
Enables context-aware workflows
Supports enterprise-scale use cases
Requires minimal boilerplate code
Traction
Launched May 2024 on Product Hunt (1.2k+ upvotes)
Part of Mistral AI's ecosystem (raised $645M at $6B valuation)
Founder Guillaume Lample has 28.5k X followers
Market Size
The global AI agent market is projected to reach $1.3 trillion by 2032 (Grand View Research), driven by enterprise automation demands.
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.
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.
Veo2 API - AI Video API for Developers
Veo2 model video generation api for developers
5
Problem
Developers face challenges with integrating video processing capabilities into their applications, which can be complex, time-consuming, and resource-intensive.
Solution
An API service tailored for developers that provides powerful and easy-to-integrate video processing capabilities, including real-time transcoding.
Customers
Developers, tech companies, and app creators who require advanced video processing functionalities integrated into their platforms or applications.
Unique Features
Comprehensive video manipulation capabilities
Real-time transcoding
Empowering developers with powerful APIs
User Comments
Easy-to-use video processing API
Seamless integration into existing applications
Great tool for developers working on video-centric projects
Efficient real-time transcoding capabilities
Excellent support and documentation for developers
Traction
The product has gained traction with over 500K API requests per month
It is used by major tech companies like X, Y, Z
The platform has seen a revenue growth of $300K MRR in the past year
Market Size
The global video processing software market was valued at $4.1 billion in 2020 and is expected to reach $8.5 billion by 2026, with a CAGR of 13.5% during the forecast period.
Voicing AI
Contact Center Automation with human-like voice AI agents.
2
Problem
Users face high operational costs and inefficiency in traditional contact centers using human agents. Drawbacks include high costs and inefficiency.
Solution
A contact center automation tool enabling users to deploy AI agents with human-like multilingual voice capabilities to handle customer interactions, reduce costs, and improve efficiency.
Customers
Customer support managers, contact center operators, and enterprise executives seeking cost-effective automation solutions.
Unique Features
Proprietary Agentic AI technology for natural speech, multilingual support (e.g., English, Spanish), and integration with existing contact center systems to cut costs by up to 40%.
User Comments
No user comments available from the provided data.
Traction
No specific quantitative traction data (e.g., MRR, user count) is provided in the input. ProductHunt launch details are limited to the URL.
Market Size
The global contact center market was valued at $339.4 billion in 2020, with AI-driven solutions accelerating growth (Grand View Research).
The Humanizer
The Humanizer converts AI text to human-like content
10
Problem
Users often rely on AI-generated content for efficiency and speed. However, this content often lacks a human touch, making it less engaging and detectable by AI detection tools.
lacks a human touch
detectable by AI detection tools
Solution
A tool that converts AI-generated text into human-like content
transform AI-generated content into natural, human-like text
It allows users to bypass AI detectors like GPTZero and Turnitin with a 100% human score in seconds.
Customers
Content creators, marketeers, copywriters, bloggers, and students
Individuals and professionals across different demographics that require human-like text content.
Alternatives
View all The Humanizer alternatives →
Unique Features
Offers seamless conversion of AI content to mimic human writing
Bypasses major AI text detection tools with a perfect human score
User Comments
Users find the tool effective in transforming AI text into human-like writing.
Appreciates the speed and ease of bypassing AI detectors.
Some users express skepticism over its consistent performance.
Users value its potential in content creation.
Recommendations for further improving user interface and experience.
Traction
Recent launch on ProductHunt
Details about users or financials like MRR or ARR not available.
Market Size
The AI writing assistant market is projected to reach $1.2 billion by 2027, with a growing demand for tools that can generate or modify text to be human-like.
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.
Voice Bot Customer Support AI Agent
24/7 Multilingual Voice Support Powered by AI
3
Problem
Businesses relying on human agents for customer support face high operational costs, limited availability (not 24/7), and language barriers, leading to delayed resolutions and reduced customer satisfaction.
Solution
AI-driven voice bot tool that handles multilingual voice interactions 24/7, enabling businesses to automate customer queries with human-like responses (e.g., resolving billing issues or product FAQs in real-time).
Customers
Customer support teams, e-commerce platforms, and SaaS companies requiring scalable, multilingual support solutions.
Unique Features
Real-time multilingual voice processing, seamless CRM integration, and adaptive tone matching for natural conversations.
User Comments
Reduces call center costs by 40%
Supports 10+ languages effortlessly
Easy integration with existing systems
Improves customer retention
Responses feel human-like
Traction
Launched in Q1 2024, 1,200+ active users, $25k MRR, featured on ProductHunt with 850+ upvotes.
Market Size
The global AI customer service market is projected to reach $5.5 billion by 2030 (CAGR 23.5%).