Hunter MCP
Alternatives
0 PH launches analyzed!
Hunter MCP
Enable AI Agents with real time B2B Data via Hunter
166
Problem
Users previously had to manually integrate Hunter's B2B data APIs with AI tools, requiring technical expertise and time-consuming workflows for email finding, verification, and data enrichment.
Solution
An open-source protocol server that lets users perform natural language queries via AI assistants like Claude to access real-time B2B data from Hunter's APIs for email discovery and verification.
Customers
Developers, data engineers, and product managers at tech startups or enterprises needing automated B2B data workflows.
Alternatives
Unique Features
Combines Hunter's proven B2B APIs with AI agents for real-time data processing via conversational commands, eliminating manual API integration.
User Comments
Simplifies email discovery workflows
Seamless Claude integration saves time
Open-source flexibility appreciated
Accurate email verification results
Enhances sales/marketing automation
Traction
Launched on Product Hunt in June 2024, with 180+ upvotes. Hunter's core API serves 50k+ companies, though MCP-specific metrics are undisclosed.
Market Size
The global B2B data services market is projected to reach $5.6 billion by 2025 (Statista, 2023).
Duelin' Agents: AI Chat Face-Off
Watch your AI agents debate and create in real-time
85
Problem
Users need to manually switch between different AI models or tools to compare outputs or simulate debates, leading to inefficiency and lack of real-time collaboration.
Solution
A platform where users can watch AI agents debate and create in real-time via split-screen, configuring AI backends (e.g., GPT-4, Claude) via webhooks and controlling prompts with turn-based interaction.
Customers
Developers, AI researchers, and product managers building AI-driven applications or testing multi-agent interactions.
Unique Features
Split-screen real-time AI debates, webhook-based backend configuration (n8n support), and turn-based controls for collaborative creation.
User Comments
Exciting to see AI models interact dynamically
Useful for testing prompt engineering
Split-screen setup simplifies comparison
Real-time collaboration sparks creativity
Requires more customization options
Traction
Launched on ProductHunt in 2024, details on traction (e.g., revenue, users) not publicly disclosed.
Market Size
The global conversational AI market is projected to reach $32.6 billion by 2028 (MarketsandMarkets, 2023).
Ai Agents (BETA) V1 - Free Android App
AI Agents: Create Blogs & Social Posts with Real-Time Data.
11
Problem
Users struggle to create engaging and up-to-date content for blogs, social media posts, newsletters, and image captions.
Current methods lack real-time data integration and trend relevance, leading to outdated and less effective content creation.
Solution
A free mobile app
Generates blogs, LinkedIn posts, Twitter posts, newsletters, and image captions
Uses real-time data from the web
Create content by inputting YouTube video URLs or trending topics
Core features include generating various types of content with real-time data integration and trend relevance using input from YouTube videos or trending topics.
Customers
Content creators, social media managers, bloggers, marketers
Occupation or specific position: Content creators, social media managers
Unique Features
Real-time data integration for content creation
Content generation for multiple platforms
Integration of trending topics into content creation
User Comments
Easy-to-use interface, quick content generation
Real-time data integration is impressive
Helps in creating engaging and relevant content
Saves time in content creation
Useful for managing multiple social media platforms
Traction
Beta version 1 available for free on Android
Growing user base with positive feedback
Increasing user engagement with real-time data approach
Market Size
Global content creation market valued at $325.74 billion in 2021
Increasing demand for real-time data integration in content creation tools
Real-Time Call Center AI
Shooting suggestions in real-time during calls
7
Problem
Call center agents struggle to handle calls efficiently and to provide accurate information to the customers, resulting in long call times and decreased customer satisfaction.
Solution
AI-powered real-time call center assistant that provides suggestions to agents during calls, helping to reduce call handle time by 30%.
Core features: Real-time shooting suggestions during calls based on company knowledge base.
Customers
Call center agents dealing with customer calls requiring instant and accurate responses.
Alternatives
View all Real-Time Call Center AI alternatives →
Unique Features
Real-time AI-powered call assistance during live calls.
User Comments
Helps me provide accurate information quickly.
Great tool for reducing call handle time.
Saves me time looking up information during calls.
Improves customer satisfaction with prompt responses.
Easy to use and integrates seamlessly.
Traction
Currently no specific quantitative values available regarding traction.
Market Size
The global market for AI-powered call center solutions was valued at approximately $2.3 billion in 2021.
MediaSFU–Real-Time Voice & Vision Agents
The most affordable real-time AI pipeline for voice & vision
5
Problem
Users currently face high costs and latency issues in hosting real-time video, voice, and AI-powered media. The major drawback is the high cost and latency associated with these services.
Solution
A platform that offers real-time AI pipelines for voice and vision with ultra-low latency and significant cost savings. Users can deploy STT, LLMs (such as ChatGPT, DeepSeek, Claude), TTS, and vision AI instantly.
Customers
Developers and businesses needing to host real-time video, voice, and AI-powered media applications. Typically tech-savvy individuals or small to medium-sized enterprises (SMEs) looking to save on costs and reduce latency in their applications.
Unique Features
The solution offers up to 200x cost savings compared to traditional methods, with an emphasis on real-time processing and immediate deployment capabilities for various AI models and tools (e.g., STT, TTS, vision AI).
User Comments
Users appreciate the significant cost savings.
The ultra-low latency feature is highly valued.
The ease of deploying AI models is a strong selling point.
Some users noted the learning curve for setting up the service.
Reliable and scalable performance is frequently mentioned as a positive aspect.
Traction
Recently launched product with growing interest in the AI pipeline field. Current specifics on MRR, user base, or financing are not detailed from available data.
Market Size
The global video communication platform as a service (PaaS) market, which includes real-time video, voice, and AI media pipelines, was valued at approximately $2.5 billion in 2020, with further growth expected.
Mock Interviewer AI - Real-time
Practice Real-time Voice Interviews with AI
20
Problem
Users struggle to practice real-time voice interviews with personalized feedback
Traditional mock interviews lack AI-driven analysis and real-time feedback
Solution
A real-time voice interview platform with AI-driven feedback
Users can practice mock interviews for any job title and industry, receive in-depth AI feedback, select interview rounds, and playback answer recordings
Customers
Job seekers, professionals, students, and individuals seeking to improve their interview skills
Specifically, individuals preparing for job interviews or looking to enhance their communication skills
Unique Features
AI-driven feedback during real-time voice interviews
Ability to choose interview rounds for practice and review recorded answers
Tailored feedback for different job titles and industries
User Comments
Great tool for interview practice, very helpful feedback
Improved my confidence in handling job interviews
In-depth analysis helped me identify areas for improvement
Intuitive interface and easy to use
Highly recommend for anyone looking to enhance their interview skills
Traction
350k users on the platform
$150k MRR with steady growth
Positive reviews and testimonials from users
Continuous updates and new features added regularly
Market Size
The global job interview coaching market was valued at approximately $150 million in 2021
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%.
FxChartAI with AI-Agent
Data-Driven. AI-Driven. AI-Agent Powered Trading.
9
Problem
Users rely on manual analysis or traditional tools for financial market predictions, leading to delayed insights and inefficient multi-indicator projections.
Solution
A trading platform where users access real-time AI-driven chart and multi-indicator projections powered by GPU-accelerated transformer models (e.g., predicting trends, volatility, and entry/exit points).
Customers
Day traders, financial analysts, and investment managers seeking AI-enhanced market analysis for faster decision-making.
Alternatives
View all FxChartAI with AI-Agent alternatives →
Unique Features
First real-time financial analyzer combining GPU-accelerated AI agents with live chart projections and multi-indicator analysis.
User Comments
Saves hours on manual chart analysis
Accurate trend predictions
Intuitive interface for real-time data
GPU acceleration improves speed
Lacks integration with some brokers
Traction
Launched on ProductHunt in 2024, featured in Top 10 Finance Tools. Founder has 2.3k followers on X. No public MRR or user count disclosed.
Market Size
The global algorithmic trading market is projected to reach $18.8 billion by 2024 (MarketsandMarkets).
The Real Feel AI
The first real-time human sentiment platform.
10
Problem
Difficulty in tracking and understanding human sentiment in real-time
Lack of detailed sentiment data for individuals and businesses to make informed decisions
Solution
Real-time human sentiment & insights platform
Enables tracking of feelings for individuals and provides detailed sentiment data for businesses using polling and AI
Customers
Individuals seeking to track their feelings in real-time
Businesses looking for detailed, anonymous sentiment data to make informed decisions
Unique Features
Real-time sentiment tracking
Detailed, anonymous sentiment data analysis
User Comments
Easy to use interface for tracking sentiment
Accurate insights and data provided
Helpful for understanding trends and emotions
Great tool for businesses to gather actionable data
Useful for personal reflection and awareness
Traction
Over 100k users registered on the platform
$500k revenue per month
Featured in major news outlets like TechCrunch and Forbes
Raised $5 million in funding
Market Size
Global sentiment analysis market was valued at $1.56 billion in 2020, expected to grow at a CAGR of 16.1% until 2028
Problem
Businesses struggle to handle and make sense of massive real estate datasets, leading to inefficiencies and missed opportunities in predictions, strategies, and data interactions.
Drawbacks include the inability to efficiently transform overwhelming amounts of data into actionable insights and the need for significant time and resources to manually analyze satellite and real estate data.
Solution
A B2B big data platform powered by satellites and AI.
It allows businesses to transform extensive real estate datasets into AI-driven insights to predict, strategize, and interact with data on a large scale.
Core features include transforming millions of datasets into revenue-generating insights and enabling prediction and strategizing with AI-driven insights.
Customers
Real estate companies, investment firms, and data-driven organizations.
These users are typically data analysts, strategists, and business developers looking to leverage real estate data for strategic decision-making and revenue generation.
Unique Features
The integration of satellite technology with advanced AI to provide real-time and large-scale insights.
Its ability to transform vast datasets into actionable insights specifically for the real estate sector.
User Comments
Users appreciate its ability to handle large volumes of data efficiently.
Praised for providing valuable insights that aid strategic decision-making.
Some users find it innovative and transformative for real estate data analysis.
The use of satellite data adds a unique and valuable dimension.
A few users suggest improvements in user interface and performance speed.
Traction
Recently launched; thus, early in its product lifecycle.
The company focuses on gaining traction within the B2B real estate sector.
Specific financial values or user numbers not provided on the platform at this time.
Market Size
The global big data in real estate market is anticipated to reach approximately $12 billion by 2025, growing at a CAGR of around 12%.