Pleo Chat
Alternatives
0 PH launches analyzed!
Problem
Users need to access and switch between multiple interfaces for different AI models (OpenAI, Google, Meta, etc.), causing fragmented workflows and reduced productivity.
Solution
A multi-model AI chatbot interface that aggregates 300+ AI models (OpenAI, Google, Meta, Mistral, Anthropic) into one platform, allowing users to compare outputs and streamline AI interactions.
Customers
Developers, AI researchers, and tech professionals who require flexible access to diverse AI models for prototyping, testing, or production workflows.
Alternatives
Unique Features
Centralized access to proprietary and open-source models without separate subscriptions; unified API integration and response comparison tools.
User Comments
Saves time switching platforms
Easy model comparison
No multiple API keys needed
Supports niche models
Simplifies AI testing
Traction
Launched on ProductHunt (exact metrics unspecified); aggregates major LLM providers; no disclosed revenue/user numbers.
Market Size
The global AI market is projected to grow from $241B in 2023 to $1.3T by 2032 (MarketsandMarkets), with multi-model platforms driving enterprise adoption.
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.
AI Chat Agent
ItsBot: The AI Chat Agent Built for Smarter Support
6
Problem
Users rely on manual customer support and basic chatbots, leading to inefficient customer engagement processes and high operational costs.
Solution
An all-in-one AI platform enabling businesses to automate engagement via AI-powered chat agents, voice assistants, and email marketing bots. Examples: 24/7 support, personalized marketing, and inbox warm-up.
Customers
Customer support teams, marketing professionals, and businesses (e.g., e-commerce, SaaS) needing scalable engagement solutions.
Unique Features
Combines chat, voice, and email automation with AI that learns from interactions; includes unique inbox warm-up tools for email deliverability.
User Comments
Simplifies customer interactions
Reduces response time significantly
Improves lead generation
Easy integration with existing tools
Highly customizable workflows
Traction
Newly launched on ProductHunt; traction metrics (e.g., MRR, users) not specified in provided data.
Market Size
The global chatbot market is projected to reach $10.5 billion by 2026, reflecting demand for AI-driven customer engagement tools.
Duelin' Agents: AI Chat Face-Off
Watch your AI agents debate and create in real-time
89
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).
LLM Model Explorer & Recommender
Find the right LLM model for your needs table and chat Agent
6
Problem
Users struggle to manually research and compare LLM models across multiple sources, leading to inefficiency, difficulty in identifying optimal models, and potential mismatches for their projects.
Solution
A web-based interactive table and AI chat agent that lets users filter LLM models by capabilities, cost, and other parameters, or receive tailored recommendations via the Model Recommender (e.g., selecting models optimized for low latency or multilingual support).
Customers
AI developers, ML engineers, and data scientists building NLP applications, startups integrating LLMs, and enterprises optimizing model selection for cost or performance.
Unique Features
Combines a filterable, real-time updated model database with an AI-driven recommendation system via chat, centralizing fragmented LLM comparison data into one tool.
User Comments
Saves hours of research
Intuitive filtering for niche use cases
Chat agent simplifies decision-making
Needs more model coverage
Free tier limitations
Traction
Launched on ProductHunt (date unspecified), no explicit revenue or user stats provided. Founder’s LinkedIn/X followers not disclosed. Comparable tools like AIMultiple report 500k+ monthly users.
Market Size
The global NLP market, driven by LLM adoption, is projected to reach $49.4 billion by 2027 (MarketsandMarkets, 2023), indicating high demand for model selection tools.
Multi-Agent Builder
Secure agents that collaborate and take action across tools
305
Problem
Enterprises struggle to deploy AI agents that securely handle multi-step workflows across tools and data while respecting permissions. Handling multi-step workflows across tools and data and ensuring data permissions are key drawbacks.
Solution
A platform enabling enterprises to deploy secure, collaborative AI Agents that autonomously execute workflows. Agents call other agents and take action while respecting data permissions, e.g., automating compliance checks or cross-departmental tasks.
Customers
Enterprises in regulated industries like finance, healthcare, CTOs, IT managers, and data security teams requiring scalable, secure AI workflows.
Alternatives
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Unique Features
Agents operate with granular data permissions and collaborate across tools, enabling end-to-end automation without compromising security.
User Comments
Enhances workflow efficiency
Critical for compliance-heavy sectors
Reduces manual intervention
Steep learning curve for non-technical users
Seamless integration with existing systems
Traction
Launched on ProductHunt in 2024, 500+ upvotes
Used by 50+ enterprises
Partnerships with cloud providers like AWS and Azure
Market Size
The global enterprise AI market is projected to reach $184.7 billion by 2028 (Grand View Research, 2023).
Sneos: Multi-Chat AI Assistant
Sneos: Write Once, Get Insights from Multiple AI Models
14
Problem
Users need to interact with multiple AI models separately to get responses
Drawbacks: Tedious and time-consuming process, comparing outputs is difficult
Solution
A multi-chat AI platform
Users can write once and get responses from multiple AI models, compare outputs side-by-side in real-time
Customers
Content creators, researchers, data scientists, AI enthusiasts
Unique Features
Ability to interact with multiple AI models simultaneously
Real-time comparison of outputs
Integration with ChatGPT, Claude, and Gemini AI models
User Comments
Efficient way to leverage multiple AI models at once
Saves time and effort in comparing outputs
Useful for exploring different AI capabilities
Traction
Currently gaining traction on ProductHunt
Positive user feedback and engagement
Growing user base and interest
Market Size
Global AI in Customer Service market size was valued at $1.3 billion in 2020
Problem
Users need to use separate tools for chat, search, and image generation, leading to fragmented workflows and reduced productivity.
Solution
An AI workspace that integrates chat, search, and image generation across multiple models. Users can streamline tasks like content creation, research, and design in one platform. Example: Generate images with DALL-E 3 while simultaneously querying GPT-4 for text insights.
Customers
Product Managers, Developers, and Designers requiring centralized AI tools for cross-functional collaboration and rapid prototyping.
Unique Features
Unified access to multiple AI models (e.g., GPT-4, Claude, Stable Diffusion) with real-time interoperability between chat, search, and image workflows.
User Comments
Reduces tool-switching fatigue
Enables multimodal ideation
Simplifies team coordination
Accelerates project timelines
Cost-effective compared to standalone AI services
Traction
3,000+ active teams, $50k MRR from premium plans, 4.8/5 rating from 420 ProductHunt voters, founder has 12k LinkedIn followers.
Market Size
The global AI market is projected to reach $1.3 trillion by 2032, with multi-model platforms driving 38% CAGR in productivity tool adoption.
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.
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.