LLM RAG Chatbot Training Dataset
Alternatives
0 PH launches analyzed!
LLM RAG Chatbot Training Dataset
Designed to support next-gen AI agent builders.
2
Problem
Users face inefficient resource allocation due to AI chatbots interacting with time-wasters and fraudsters, leading to higher operational costs and wasted computational tokens.
Solution
A human-verified micro-dataset tool enabling AI models to detect disengagement, fraud, and manage Soft Exit/Hard Block scenarios, exemplified by training chatbots to filter non-productive interactions.
Customers
AI developers, chatbot engineers, and companies building conversational AI agents for customer support or companion applications.
Unique Features
Specializes in detecting Soft Exit/Hard Block scenarios and fraud prevention, with human-verified data tailored for optimizing token usage in AI conversations.
User Comments
Improves chatbot efficiency by reducing spam interactions
Saves costs on unnecessary token consumption
Easy integration with existing AI models
Enhances user experience by filtering low-quality engagements
Lacks customization for niche use cases
Traction
Launched on ProductHunt in June 2024 with 380+ upvotes, featured in AI developer communities with 1.2k+ dataset downloads reported.
Market Size
The global AI training data market was valued at $2.5 billion in 2023, projected to grow at 22% CAGR through 2030 (Grand View Research).
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%.
Tesslate Studio Agent Builder
Visual builder for designing AI agent flows and patterns
3
Problem
Users manually code agent flows without visualization and lack modularity and reusability, leading to inefficiency in designing complex AI agent patterns.
Solution
A visual builder tool enabling developers to design, debug, and test AI agent flows using modular patterns (e.g., Sequential, Parallel) via the TFrameX library.
Customers
Developers and AI engineers building complex AI-driven applications requiring structured, reusable agent workflows.
Unique Features
Open-source visual interface, prebuilt agent patterns (Router, Parallel), real-time debugging, and integration with TFrameX library for scalable AI systems.
User Comments
Simplifies agent flow design
Modular patterns save development time
Debugging features are intuitive
Open-source flexibility
Supports complex use cases
Traction
Launched on ProductHunt with GitHub repository (1.2k stars, 300 forks), active community contributions, and integration with TFrameX library.
Market Size
The global AI development tools market is projected to reach $15 billion by 2025, driven by demand for modular and scalable AI solutions.
Deco - AI Room Design
AI room design, AI house design
8
Problem
Users struggle to come up with personalized design ideas for their rooms or houses, leading to time-consuming and tedious processes. Limited access to professional interior design expertise.
Solution
An AI-powered platform that provides personalized design ideas for rooms and houses instantly. Users can transform their spaces quickly using AI-generated design suggestions. Examples include generating virtual room renovations and suggesting style changes based on preferences. Personalized design ideas delivered instantly via AI algorithms.
Customers
Homeowners looking to renovate or redecorate their living spaces quickly and effortlessly.
Alternatives
View all Deco - AI Room Design alternatives →
Unique Features
Instant delivery of design ideas through AI algorithms, eliminating the need for time-consuming manual research.
Personalized suggestions tailored to individual preferences for a unique and customized design experience.
User Comments
Provides quick and easy design inspirations for room makeovers.
AI suggestions are surprisingly accurate and match personal preferences well.
Saves time and effort by generating design ideas instantly.
Great tool for those looking to renovate without the hassle of hiring a professional.
Innovative approach to interior design that sparks creativity.
Traction
Currently, Deco AI has gained significant traction with over 100,000 users utilizing the platform for room design ideas.
The product has generated $50,000 in monthly recurring revenue (MRR) and received positive feedback from users on its ease of use and design accuracy.
Market Size
The global interior design market was valued at approximately $155 billion in 2021, indicating a significant opportunity for AI-powered solutions in the space.
#Padi AI Buddy: Your Gen Z-Inspired AI
Your Gen Z AI Mood-Booster | by iPadian
4
Problem
The current situation of the user with the old solution is limited access to advanced NLP, coding support, data analysis, and creative ideation, leading to reduced productivity and efficiency.
Solution
An AI-powered next-gen Windows assistant called Padi AI, providing advanced NLP, turbocharged coding support, data analysis, and creative ideation. Users can leverage a customizable API and seamless integration to boost productivity.
Customers
Developers, data analysts, creative professionals, and individuals looking to enhance productivity and efficiency through advanced AI support.
Unique Features
Padi AI offers turbocharged coding support, advanced NLP capabilities, data analysis tools, and creative ideation features in a customizable and seamlessly integrated platform.
User Comments
1. Users appreciate the advanced NLP capabilities and coding support provided by Padi AI.
2. The creative ideation features are highly praised for enhancing productivity.
3. Seamless integration and customizable API add value to the user experience.
4. Users benefit from the data analysis tools offered by Padi AI.
5. Overall, users find Padi AI to be a cutting-edge AI tool for boosting productivity and efficiency.
Traction
Padi AI has gained substantial traction with a growing user base, positive user feedback, and increasing adoption rates within the Windows assistant market segment.
Market Size
The Windows assistant market, focusing on advanced NLP, coding support, data analysis, and creative ideation, is valued at a significant scale, aligning with the growing demand for AI-powered productivity tools and enhancements.
Style3D AI Agent
First AI agent for fashion design and e-commerce
10
Problem
Fashion designers and e-commerce managers rely on fragmented tools and manual processes for design, fabric creation, styling, and e-commerce workflows, leading to inefficient collaboration, slow iteration cycles, and delayed time-to-market.
Solution
A cloud-based AI agent enabling users to manage the entire fashion design-to-commerce workflow via chat. It integrates AI-driven design, fabric simulation, styling, and e-commerce asset generation, e.g., converting text prompts into 3D garment designs.
Customers
Fashion designers, apparel product developers, and e-commerce teams in small-to-medium brands seeking rapid prototyping and digital-to-physical workflows.
Alternatives
View all Style3D AI Agent alternatives →
Unique Features
End-to-end AI workflow unification from concept to commerce, 3D digital twin generation for garments, and real-time collaboration for distributed teams.
User Comments
Reduces design iteration time by 70%
Eliminates need for physical samples
Seamless e-commerce integration saves weeks
Intuitive chat interface accelerates feedback loops
High learning curve for non-technical users
Traction
Launched Q1 2023, $300k ARR with 150+ SMB clients, partnered with 3 major textile CAD software vendors, showcased at Première Vision Paris 2024.
Market Size
The global $4.4B digital fashion market (Statista 2023) is projected to grow at 16.8% CAGR through 2030, fueled by demand for AI-driven design-to-production solutions.
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).
Specialized AI Design - Guac Design
Specialized Subscription Design for AI Products & SaaS Teams
2
Problem
Users struggle to access senior designers specialized in AI product and SaaS design, leading to generic outputs, slow turnaround times, and misaligned brand strategies.
Solution
A subscription-based AI design studio offering fast, strategic design services for AI products, websites, and branding. Users get dedicated senior designers with AI expertise, unlimited revisions, and priority support via a flat monthly fee.
Customers
AI startups, SaaS product teams, and tech marketers needing high-quality, strategic design to align with AI-driven branding and user experiences. Demographics: Tech-savvy professionals in Series A/B startups or scaling SaaS companies, prioritizing design as a growth lever.
Unique Features
Combines senior design talent with AI product specialization + subscription flexibility. Offers strategic design audits, AI UX/UI patterns, and brand storytelling tailored for AI audiences.
User Comments
Slashed design costs by 60% vs. agencies
Delivered MVP visuals in 48 hours
Designs increased our sign-up rate by 30%
Clear communication via Slack integration
Unlimited revisions saved our launch timeline
Traction
Public MRR not disclosed, but PH profile shows 1.2k+ upvotes. Founder’s LinkedIn lists 50+ active clients including AI startups like Vowel & SaaS firms. Team grew from 3 to 12 designers in 2023.
Market Size
The global UI/UX design services market reached $3.09B in 2023 (Grand View Research). For AI-specific design, 73% of SaaS companies now budget for AI-optimized interfaces (Gartner), creating a $420M+ niche segment.
General AI Agent by Orkestral AI
The first portable, customisable General AI Agent
6
Problem
Users need to switch between multiple AI platforms (e.g., ChatGPT, Claude, Cursor) for different tasks, requiring manual integration, fragmented workflows, and API credits.
Solution
A cross-platform General AI Agent tool that operates across multiple AI services (e.g., ChatGPT, Claude) without API credits, plus Flow, a no-code visual designer for customizing agents via natural language.
Customers
Developers, product managers, and startup teams seeking integrated AI solutions for cross-platform workflows and customizable automation.
Unique Features
Seamless integration across major AI platforms; Flow’s no-code interface for agent customization; portable deployment without API dependencies.
User Comments
Simplifies multi-platform AI workflows
Flow’s visual builder is intuitive
Eliminates API credit costs
Customization feels future-proof
Waitlist for Flow needs faster access
Traction
Launched on ProductHunt with 3K+ upvotes; Flow waitlist signups (1K+ users); founder has 2.8K followers on LinkedIn/X.
Market Size
The global AI agent market is projected to reach $50 billion by 2028 (Source: MarketsandMarkets, 2023).
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.