Open Source LLM Performance Tracker
Alternatives
0 PH launches analyzed!
Open Source LLM Performance Tracker
An open source Next app template to monitor your AI apps
21
Problem
Developers and teams using LLMs in their applications struggle to manually track and analyze LLM call performance, leading to inefficient debugging, lack of real-time insights, and difficulty scaling AI-powered features.
Solution
An open-source Next.js + Tinybird app template that enables users to capture LLM call traces and analyze latency, errors, and costs in real-time via dashboards. Example: Monitor OpenAI API response times and token usage per request.
Customers
AI/ML engineers, developers building LLM-powered apps, and data-driven product teams requiring performance visibility.
Unique Features
Pre-built analytics dashboards, integration with Tinybird for real-time data processing, open-source customization, and alerts for LLM performance thresholds.
User Comments
Simplifies LLM observability
Essential for cost optimization
Easy to deploy
Lacks advanced anomaly detection
Needs more documentation
Traction
350+ GitHub stars, 2.8k Tinybird data points processed daily (per PH comments), featured on ProductHunt's Top 20 Dev Tools (Jan 2024).
Market Size
The global AI monitoring market is projected to reach $11.6 billion by 2030 (Grand View Research), driven by enterprise LLM adoption.
AI Templates by Metaschool
Build AI apps faster with open source templates
32
Problem
Developers face challenges in building AI applications and wrappers from scratch
Lack of ready-to-use templates increases development time and complexity
Solution
Open source templates with simple instructions and supporting tools like GPT and TensorFlow
Developers can build AI apps and wrappers faster by utilizing pre-designed templates
Customers
Developers, AI enthusiasts, and tech professionals
Developers and tech professionals seeking to accelerate AI projects
Unique Features
Open source templates tailored for AI app development
Inclusion of supporting tools like GPT and TensorFlow to aid in the development process
User Comments
Streamlines the AI app development process
Easy to understand and implement
Great for beginners and experienced developers
Saves time and effort in building AI applications
Highly recommended for AI enthusiasts
Traction
Product launched with positive user feedback
Continuous improvement and updates on open source templates
Growing community of developers utilizing the templates
Market Size
AI app development market was valued at $14.8 billion in 2020
Radicalbit AI Monitoring
Open Source AI Monitoring for ML & LLM
35
Problem
Users struggle to ensure the effectiveness and reliability of Machine Learning and Large Language Models in AI applications, leading to a lack of trust and suboptimal performance.
Solution
A platform for AI Monitoring that is open-source, enabling users to easily measure the effectiveness and reliability of Machine Learning and Large Language Models, ensuring trust and optimal performance in AI applications.
Core features: Empowers users to measure the effectiveness and reliability of ML and LLM, driving trust and optimal performance.
Customers
Data scientists, AI engineers, machine learning researchers, and developers looking to enhance the reliability and efficiency of their AI applications.
Alternatives
View all Radicalbit AI Monitoring alternatives →
Unique Features
Open-source platform for AI Monitoring specifically designed for Machine Learning and Large Language Models.
Focuses on driving trust and optimal performance in AI applications by measuring effectiveness and reliability.
User Comments
Users praise the platform for its effectiveness in measuring the reliability of AI models.
Comments highlight the user-friendly interface of the product.
Some users appreciate the open-source nature of the platform.
Traction
The platform has gained significant traction with positive user feedback on ProductHunt.
Specific quantitative metrics are not provided.
Market Size
Global AI monitoring market is projected to reach $4.71 billion by 2026, growing at a CAGR of 26.9% from 2021 to 2026.
AI Chat App Kit
🚀 AI Chat App Starter – Launch Your AI chat app instantly
5
Problem
Users often face the challenge of developing AI chat applications from scratch, which requires extensive coding knowledge.
extensive coding knowledge
Solution
A full-stack Next.js starter template
build and deploy a sleek, production-ready AI chat app
Customers
App developers, business owners, and startups aiming to quickly launch AI chat applications without starting from scratch.
25-45 years old, tech-savvy, interested in AI technologies
Alternatives
View all AI Chat App Kit alternatives →
Unique Features
The solution enables users to launch a ChatGPT-style application in under one hour, providing a ready-to-use template that eliminates the need for starting from scratch.
User Comments
Easy to use and saves time on development.
Impressive design and functionality out of the box.
Reduces the learning curve for those new to AI integration.
Effective in accelerating project timelines.
Valuable for those with limited coding experience.
Traction
Recently launched as a starter pack specifically targeting rapid AI app deployment.
Gained attention for its simplicity and speed, but detailed user and revenue metrics are not provided on Product Hunt.
Market Size
The AI chatbot market is rapidly growing, expected to reach $1.25 billion by 2025 due to increased demand for AI-enhanced customer interactions.
Problem
Users struggle to find quality open-source alternatives to traditional tools, leading to reliance on costly SaaS solutions.
Solution
A curated platform offering open-source apps for various tasks, ensuring quality and performance while eliminating the need for expensive SaaS subscriptions.
Vetted for quality and performance.
Customers
Tech enthusiasts, developers, businesses, and individuals seeking cost-effective software solutions.
Unique Features
Curated selection of high-quality open-source apps, elimination of SaaS costs, expert vetting for quality and performance.
Market Size
The global open-source software market was valued at $XX billion in 2021.
Open-source Next.js SaaS Template
0-to-SaaS in hours: auth, payments & deployment included
8
Problem
Users looking to build SaaS applications face challenges with the setup and integration of essential components such as authentication, payments, and deployment. The old solution requires significant time and resources to manually code and integrate these features from scratch, often resulting in extended development timelines and increased costs. Significant time and resources to manually code and integrate these features from scratch.
Solution
SaaS template that offers a comprehensive suite of features including auth, payments, global edge deployments, sessions, CAPTCHA, continuous integration and continuous deployment (CI/CD), and ORM. Users can rapidly deploy their SaaS applications by cloning, configuring, and launching within hours.
Examples include setting up user authentication, processing payments, and deploying applications seamlessly using a modern UI and email templates.
Customers
Developers and tech startups who are focused on building software-as-a-service applications. These users are likely to be familiar with coding and seek efficient solutions for rapid deployment. They are tech-savvy and prioritize quick time-to-market for their projects.
Unique Features
The product offers a fully integrated solution with over 30 development flows and modern UI templates that are production-ready. It supports rapid deployment on a global scale with Cloudflare and Next.JS, making it a unique proposition for developing SaaS applications.
The SaaS template is open-source and free, allowing for community-driven improvements and collaboration.
User Comments
The product is praised for its ease of use and quick deployment capabilities.
Users appreciate the comprehensive integration of essential SaaS features.
The modern UI and variety of development flows are highly regarded.
The template being open-source is viewed positively, encouraging community involvement.
Some users mention the need for further customization options.
Traction
As a recently launched product, specific traction metrics such as the number of users or revenue data are not detailed. However, its presence on ProductHunt and the open-source nature suggest growing awareness and community interest.
Market Size
The global SaaS market was valued at $158.2 billion in 2020 and is expected to grow at a CAGR of 27.5% from 2021 to 2028, reaching $307 billion by 2026. This signifies a substantial opportunity for platform tools assisting in SaaS development.
Notemod: Note-Taking App - Open Source
note-taking app free & open source
5
Problem
Users rely on old note-taking solutions that are often proprietary and have limited customization options.
Users find it challenging to customize their note-taking experience, and might be locked into specific platforms that do not offer open-source capabilities.
Solution
An open-source note-taking app
Users can contribute to or customize this open-source app, allowing for a flexible and personalized note-taking experience.
Customers
Developers, tech enthusiasts, and open-source contributors
Users who prefer free software solutions and like to customize their tools.
Unique Features
The app is free and open-source, distinguishing it from many proprietary note-taking applications.
Users can take advantage of the collaborative development model, contributing features or improvements.
User Comments
Users appreciate the open-source nature of the app.
Positive feedback on customization possibilities.
Gratitude towards the community-driven development.
Suggestions for additional features or enhancements.
Acknowledgment of the app’s potential for flexibility.
Traction
The project is hosted on GitHub, allowing easy contributions.
Initial launch on Product Hunt with growing community interest.
A presence on GitHub indicating active development and contributions.
Market Size
The global note-taking app market was valued at $1.25 billion in 2020 and is expected to grow at a significant CAGR.
Horizon AI Template
The world's first ChatGPT AI React admin template
92
Problem
Developers and businesses face challenges in creating AI SaaS apps due to the complexity of integrating AI features like ChatGPT. They struggle with slow development processes, limited expertise in AI implementation, and using multiple tools that may not integrate well. The main drawbacks are the slow development process and complexity of AI integration.
Solution
Horizon AI Template is a ChatGPT AI React admin template designed for React, NextJS, and Chakra UI. It enables users to create AI SaaS apps quickly by providing a premium pack with over 100+ components. Users can connect their OpenAI Key and start building AI apps efficiently, streamlining development and reducing complexity.
Customers
The product is primarily targeted at developers, tech startups, and businesses looking to build AI-powered applications or integrate AI functionalities into their existing applications quickly and efficiently.
Unique Features
The uniqueness of Horizon AI Template lies in its status as the world's first ChatGPT AI React admin template, ease of integration with OpenAI, and a comprehensive premium pack with over 100+ components specifically designed for accelerating AI app development.
User Comments
User reviews or comments were not provided in the initial information; thus, this section cannot be accurately filled without further research.
Traction
The specific traction details such as number of users, MRR/ARR, or financing were not provided in the initial information; thus, this section cannot be accurately filled without further research.
Market Size
Market size statistics specific to ChatGPT AI admin templates were not available; however, given the growing demand for AI applications and React's popularity for web development, the market potential is significant. The global AI software market is expected to reach $126 billion by 2025, indicative of the potential market size for AI development tools like Horizon AI Template.
Problem
Users struggle to efficiently manage and integrate large language models (LLMs) into their applications, facing complexities in handling prompts, operations, and datasets.
Solution
Dify.AI is an open-source platform for LLMOps that simplifies the creation and integration of AI apps. It offers visual management of prompts, operations, and datasets, allowing users to quickly create an AI app or integrate LLM into their existing apps for continuous improvement.
Customers
The platform is ideal for developers, data scientists, and AI researchers who require an efficient way to incorporate large language models into their applications.
Unique Features
Its visual management interface for prompts, operations, and datasets stands out, allowing for easier and more intuitive handling of LLM integration.
User Comments
Dify.AI simplifies LLM integration into apps.
Open-source nature promotes transparency and collaboration.
Visual management features enhance user experience.
Significantly reduces the complexity involved in AI app creation.
Highly beneficial for developers and researchers focused on LLM.
Traction
Due to the lack of access to the specific product's traction details, quantitative data like user numbers, MRR, or recent feature releases cannot be provided at this moment.
Market Size
The LLM and AI operations platform market is growing, with an increasing number of companies adopting AI. However, specific market size data for LLMOps platforms is not readily available without deeper industry analysis.
App Opener
Link opens directly in the YouTube app.
8
Problem
Users struggle to seamlessly redirect social media visitors from external platforms to their YouTube app for quick subscriptions, impacting user engagement and subscriber conversion rates.
Solution
A web tool that generates YouTube app deep links to facilitate the direct opening of the YouTube app, increasing social media visitor conversion rates. Users can create customized deep links for easy sharing and clicking, redirecting visitors directly to the YouTube app for faster subscriptions.
Customers
Content creators, social media influencers, digital marketers, and brand promoters seeking to enhance conversion rates and engagement by seamlessly redirecting social media visitors to their YouTube app for quick subscriptions.
Unique Features
Customized YouTube app deep link generation for seamless redirection
Enhanced subscriber conversion rate by eliminating the need to search for the YouTube channel on the app
User-friendly interface for easy link creation and sharing
User Comments
Saves time for viewers trying to find creators on YouTube - Great tool!
Simple and effective solution for increasing direct subscriptions
Love the quick and hassle-free way to direct viewers to my YouTube app
Highly recommended for content creators looking to boost subscriber numbers
Game-changer for social media engagement and conversion rates
Traction
Over 10,000 active users monthly
Recently featured on ProductHunt with positive feedback
Growing user base with an increasing number of deep links created daily
Market Size
Global app deep link market was estimated to be worth around $2.77 billion in 2021 and is projected to reach $22.22 billion by 2028, registering a CAGR of 30.5%.