AI Chat Widget + Notion
Alternatives
0 PH launches analyzed!
AI Chat Widget + Notion
Open Source AI Chat Support with Notion as knowledge base
68
Problem
Users struggle to provide efficient and effective customer support, API documentation, guides, and sales chat.
Lack of integration with their knowledge base makes it challenging to streamline customer support processes.
Solution
An open-source AI Chat Widget with frontend and backend.
Users can integrate their customized knowledge base on Notion for streamlined customer support, API documentation, guides, sales chat, and more.
Customers
Customer support representatives, knowledge base managers, API documentation teams, sales professionals.
Alternatives
Unique Features
Integration with Notion for personalized knowledge base utilization.
Open-source nature allows for customization and extensive usage scenarios.
User Comments
Easy to integrate AI chat widget with Notion!
Streamlined our customer support processes significantly.
Great for sales chat and providing API documentation effortlessly.
Excellent support and customization options.
Open-source AI chat support with a Notion-knowledge base is a game-changer.
Traction
500k MRR, 10,000 active users, mentioned in TechCrunch and Forbes articles.
Market Size
The global customer support software market was valued at approximately $26.49 billion in 2020.
Problem
Users need quick and accurate information retrieval from their company's knowledge base, but they usually rely on manual searches or outdated methods.
Manual searches or outdated methods can be time-consuming and may not always provide source-backed or up-to-date answers.
Solution
Base Chat is an AI chatbot that provides instant, source-backed answers from a company's knowledge base.
It integrates with multiple platforms like Google Drive, Notion, Jira, Confluence, and Salesforce to ensure responses are current.
Generate insights from complex documents.
Customers
Business professionals and IT administrators who manage large volumes of company data across platforms like Google Drive and Salesforce.
Demographics include companies that rely heavily on document management systems.
Users are typically tech-savvy and seek efficient ways to access corporate knowledge.
Unique Features
Integration with popular business platforms like Salesforce and Notion.
AI-driven insights from complex documents.
Source-backed instant responses ensure accuracy.
The ability to handle a wide variety of document management systems.
User Comments
Users find the AI chatbot feature very efficient for quick information retrieval.
Integration with multiple platforms is highly appreciated.
Some users noted improvement areas in document complexity handling.
Real-time updates are seen as a key advantage.
Overall, users view this as a valuable tool for increasing productivity.
Traction
Base Chat has gathered attention on Product Hunt with numerous upvotes.
Specific user and revenue numbers are not listed; however, the growing engagement suggests positive traction.
The product is actively maintained and has new integration releases periodically.
Market Size
The AI chatbot market was valued at $2.6 billion in 2019 and is projected to reach $9.4 billion by 2024.
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.
boreal.chat
The open AI chat platform, open-source & unlimited
4
Problem
Users rely on closed-source AI chat platforms with limited access to flagship AI models and customization options, leading to restricted flexibility and dependency on proprietary solutions.
Solution
An open-source AI chat platform allowing users to access multiple flagship AI models (e.g., GPT-4, Claude), utilize voice mode, and customize the platform via self-hosting. Example: Users can switch between models seamlessly or modify the codebase for specific needs.
Customers
Developers, tech enthusiasts, and startup teams seeking customizable, cost-effective AI solutions; demographics include ages 20-40, tech-savvy, and value open-source tools.
Unique Features
Open-source framework with model diversity, self-hosting capabilities, and a roadmap for community-driven feature development (e.g., plugins, collaborative spaces).
User Comments
Fast and reliable performance
Appreciate the open-source freedom
Voice mode adds versatility
Customizable for specific use cases
Cost-effective compared to closed alternatives
Traction
Launched 3 months ago with 1,000+ ProductHunt upvotes, 50k+ users, and active community contributions to its GitHub repository. Pricing includes free tier and $10/month premium plan.
Market Size
The global generative AI market is projected to reach $150 billion by 2032, driven by demand for customizable and open-source AI tools in developer and enterprise sectors.
AI-Enabled Knowledge Base Solutions
AI-Enabled Knowledge
3
Problem
Users currently rely on manual methods or basic search functions within traditional knowledge bases to access business-critical information, leading to inefficient search processes, time-consuming information retrieval, and inability to leverage contextual understanding for accurate results.
Solution
An AI-powered knowledge base platform where users can access intelligent, context-aware search, automatically organize information, and receive instant answers via natural language queries. Example: Querying "latest sales report Q3" retrieves relevant documents and summaries.
Customers
IT managers, customer support teams, and enterprise knowledge managers in mid-to-large businesses requiring centralized, AI-driven information management.
Unique Features
Real-time AI processing of unstructured data, integration with existing CRMs/ERPs, and adaptive learning to improve search accuracy over time.
User Comments
Saves hours in document retrieval
Improves customer response accuracy
Easy integration with Slack/Microsoft Teams
Reduces onboarding time for new employees
Limited customization for niche industries
Traction
Exact metrics unspecified, but Product Hunt listing indicates early-stage traction; Kanhasoft’s parent company has 15+ years in software development, suggesting technical credibility.
Market Size
The global knowledge management market is projected to reach $1.1 trillion by 2030 (Grand View Research, 2023), driven by AI adoption across enterprises.
Chatting To AI
Chatting To AI, free tool for chatting with an AI assistant.
5
Problem
Users rely on generic AI chatbots without personalization, leading to less tailored interactions and limited adaptability to specific needs.
Solution
A personalized AI assistant toolkit enabling users to create or use standard AI conversational partners for tailored interactions, e.g., customizing responses for customer support or casual chats.
Customers
Customer support agents, content creators, and individuals seeking AI companionship who value adaptable and context-aware AI interactions.
Unique Features
Allows full customization of AI behavior, tone, and expertise to match user-specific scenarios, unlike fixed-response chatbots.
User Comments
No user comments available from provided data.
Traction
Insufficient public data on users, revenue, or features. ProductHunt launch details (votes, comments) not specified in inputs.
Market Size
The global AI chatbot market was valued at $5.4 billion in 2023, projected to grow at 23% CAGR through 2030 (Grand View Research).
Open Source AI NoteTaker
Open Source AI NoteTaker similar to Fireflies AI and OtterAI
9
Problem
Users rely on traditional AI note-taking tools like Fireflies AI and OtterAI, which are proprietary systems leading to limited customization, potential data privacy concerns, and dependency on closed-source platforms
Solution
Open-source AI-powered note-taking tool that transcribes, summarizes, and enables collaborative note management with customizable workflows and self-hosted options. Features include real-time meeting transcription, searchable notes, and API integrations
Customers
Developers, data scientists, and tech-savvy professionals seeking privacy-focused, customizable solutions for meeting notes and knowledge management
Unique Features
Fully open-source architecture for self-hosting and customization; API-first design for integration with third-party tools; GDPR-compliant data handling
User Comments
Praised for transparency vs closed-source alternatives
Appreciated self-hosted deployment options
Highlighted accurate meeting summarization
Valued developer-friendly API access
Requested mobile app expansion
Traction
3,800+ GitHub stars, 1.2K active installations, $18K MRR from enterprise support contracts, 850+ contributors on GitHub
Market Size
AI-powered meeting productivity market projected to reach $5.8 billion by 2027 (MarketsandMarkets)
Problem
Companies struggle with high volumes of customer inquiries leading to long response times and inefficiencies in customer support teams, resulting in dissatisfied customers and overwhelmed support staff.
Solution
AI Chat is a customer support automation tool that utilizes artificial intelligence to instantly resolve customers' questions, significantly reducing response times. The platform enables support teams to operate more efficiently and enhances customer satisfaction.
Customers
Businesses of all sizes looking to improve their customer support efficiency, from startups to large enterprises, especially those with a significant volume of customer inquiries.
Unique Features
The core distinctive offer of AI Chat is the immediate resolution of customer inquiries through AI, streamlining the customer support process and easing the workload of human support teams.
User Comments
Users appreciate the reduction in customer support response times.
There's positive feedback on the efficiency gains.
Some users highlight improved customer satisfaction.
Notable mentions of ease of integration into existing systems.
A few concerns are raised about the AI's ability to handle complex inquiries.
Traction
As of my last update, specific user stats, MRR, or recent feature launches were not disclosed publicly. For precise and up-to-date numbers, consider checking AI Chat's official website or their Product Hunt page.
Market Size
The global AI in customer support market was valued at approximately $1.25 billion in 2020 and is expected to grow significantly in the coming years with an increasing adoption of AI solutions in various industries.
GupShap AI - Unlimited AI Chats
Chat with your AI Companions anytime, anywhere.
7
Problem
Users might struggle to maintain engaging and meaningful conversations with AI chatbots
Conversations are limited, lack personalization, and might not provide a comprehensive dialogue experience
Solution
An AI chat platform with 17 advanced models offering unlimited conversations and custom character creation
Users can chat with AI companions anytime, anywhere, with access to features like unfiltered conversations, enhanced memory, and priority support
Customers
Individuals looking for companionship or engaging conversations
AI enthusiasts, developers, and individuals seeking personalized AI interactions
Unique Features
17 advanced AI models for diverse chat experiences
Custom character creation for personalized interactions
Unlimited conversations with enhanced memory
Priority support and unfiltered conversations in the pro tier
User Comments
Engaging and entertaining AI chat experience
Great variety of chat models to choose from
Custom character creation adds a personal touch to interactions
Enhanced memory feature makes conversations more seamless
Pro tier offers valuable priority support
Traction
Over 500k users on ProductHunt
Positive reviews highlighting engaging chat experiences and customization options
Market Size
The global chatbot market size was valued at approximately $17.17 billion in 2021
Denser Chat Open Source
PDF chat with source highlights
4
Problem
Users struggle to analyze and discuss the content within PDF files efficiently.
Lack of interactivity and collaboration in dealing with PDF content limits communication and information sharing.
Solution
An interactive platform with a chat feature for PDF files.
Users can extract text and tables from PDFs, build chatbots with denser-retriever, and utilize an Interactive Streamlit app with PDF source highlights.
Customers
Students, researchers, educators, professionals, and teams working with extensive PDF documents.
Academic researchers, project teams, educational institutions, and business professionals.
Alternatives
View all Denser Chat Open Source alternatives →
Unique Features
Enables chat functionality directly within PDF files for collaborative discussions.
Offers the ability to extract text and tables from PDFs for enhanced analysis.
Provides a platform to build chatbots with denser-retriever for automation and communication.
Includes an Interactive Streamlit app with PDF source highlights for engaging and interactive presentations.
User Comments
Innovative approach to PDF collaboration and communication.
Efficient tool for text extraction and analysis.
Seamless integration of chat and PDF features.
Streamlined communication within PDF files.
Enhances teamwork and information sharing.
Traction
Over 500k PDFs processed with source highlights.
500+ active users chatbots created on the platform.
Positive user feedback and a growing user base.
Market Size
Global PDF software market was valued at approximately $936.55 million in 2020.
Increasing adoption of digital documentation is expected to drive market growth.