Best AI tools for< Supabase Developer >

Singlebase.cloud is an AI-powered platform that serves as an alternative to Firebase and Supabase. It offers a comprehensive suite of tools and services to facilitate faster development and deployment through a unified API. The platform includes features such as Vector Database, NoSQL Database, Vector Embeddings, Generative AI, RAG, Knowledge Base, File storage, and Authentication, catering to a wide range of development needs.

Cult is a SaaS toolkit that comes with an AI Co-founder. It provides a variety of tools and resources to help developers build and launch their own SaaS products. These tools include UI components, templates, starters, dev tools, and more. Cult is designed to help developers save time and money by providing them with the building blocks they need to create successful SaaS products.

Made with Lovable is a curated directory showcasing apps and websites built with Lovable, an AI tool that helps users build websites with AI. The platform features a collection of projects created by makers, offering a variety of tools and solutions across different categories such as business, communication, finance, health & fitness, marketing, personal life, social media, and more. Lovable.dev, the heart of Lovable, allows users to build web apps like habit trackers, SaaS tools, and interactive dashboards using simple prompts, React, TypeScript, and Supabase. It is known for quickly turning ideas into working applications, making it ideal for beginners and fast prototypes.

Aiden Solutions is an AI application that provides advanced tech support and training for modern businesses. It leverages AI technology to optimize technical support and training, offering tailored AI tools for businesses to enhance support, streamline training, and drive productivity. The platform features customizable chatbots, multi-channel integration, analytics & reporting, file management, security & compliance, and message automation. Aiden Solutions is known for its efficient, intuitive, and always available support, offering 24/7 intelligent assistance to improve customer interactions and operational efficiency. The application is designed with a user-friendly interface and powerful analytics for data-driven decisions.

AiTradingPredictor is an AI-powered platform designed to assist traders in making smarter trading decisions by harnessing the power of AI to analyze trends and predict the future. The platform allows users to visualize data through dynamic graphs, providing actionable insights to stay ahead in the market. It is built for traders seeking clarity and precision, offering predictions for various asset classes such as stocks, cryptocurrencies, and commodities across different time frames.

The website is a platform that offers an AI Video Search Engine. Users can index videos, sign in, and explore topics related to the human brain, Supabase, startups, AI image generation, and the future of startups. The platform has indexed 17272 videos over 277758 minutes. Users can view the code on Github or follow the creator.

Supabase is an open source Firebase alternative that provides a wide range of features including a hosted Postgres database, authentication and authorization, auto-generated APIs, REST and GraphQL support, realtime subscriptions, functions, file storage, AI and vector/embeddings toolkit, and a dashboard. It aims to offer developers a Firebase-like experience using enterprise-grade open source tools.

AgentKit is a framework for creating and orchestrating AI Agents, enabling developers to build, test, and deploy reliable AI applications at scale. It allows for creating networked agents with separate tasks and instructions to solve specific tasks, as well as simple agents for tasks like writing content. The framework requires the Inngest TypeScript SDK as a dependency and provides documentation on agents, tools, network, state, and routing. Example projects showcase AgentKit in action, such as the Test Writing Network demo using Workflow Kit, Supabase, and OpenAI.

Tap4 AI Web UI is an open source AI tools directory built by Tap4 AI Tools Directory. The project aims to help everyone build their own AI Tools Directory easily. Users can fork the project, deploy it to Vercel with one click, and update their own AI tools using the data list in the project. The web UI features internationalization, SEO friendliness, dynamic sitemap generation, fast shipping, NEXT 14 with app route, and integration with Supabase serverless database.

Buildware is a tool designed to help developers accelerate their code shipping process by leveraging AI technology. Users can build a code instruction system, submit an issue, and receive an AI-generated pull request. The tool is created by Mckay Wrigley and Tyler Bruno at Takeoff AI. Buildware offers a simple setup process involving cloning the repository, installing dependencies, setting up environment variables, configuring a database, and obtaining a GitHub Personal Access Token (PAT). The tool is currently being updated to include advanced features such as Linear integration, local codebase mode, and team support.

Next Money Stripe Starter is a SaaS Starter project that empowers your next project with a stack of Next.js, Prisma, Supabase, Clerk Auth, Resend, React Email, Shadcn/ui, and Stripe. It seamlessly integrates these technologies to accelerate your development and SaaS journey. The project includes frameworks, platforms, UI components, hooks and utilities, code quality tools, and miscellaneous features to enhance the development experience. Created by @koyaguo in 2023 and released under the MIT license.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

PearAI is an AI-powered code editor designed to enhance development by reducing the amount of coding required. It is a fork of VSCode and the main functionality lies within the 'extension/pearai' submodule. Users can contribute to the project by fixing issues, submitting bugs and feature requests, reviewing source code changes, and improving documentation. The tool aims to streamline the coding process and provide an efficient environment for developers to work in.

Agentok Studio is a visual tool built for AutoGen, a cutting-edge agent framework from Microsoft and various contributors. It offers intuitive visual tools to simplify the construction and management of complex agent-based workflows. Users can create workflows visually as graphs, chat with agents, and share flow templates. The tool is designed to streamline the development process for creators and developers working on next-generation Multi-Agent Applications.

Agentok Studio is a tool built upon AG2, a powerful agent framework from Microsoft, offering intuitive visual tools to streamline the creation and management of complex agent-based workflows. It simplifies the process for creators and developers by generating native Python code with minimal dependencies, enabling users to create self-contained code that can be executed anywhere. The tool is currently under development and not recommended for production use, but contributions are welcome from the community to enhance its capabilities and functionalities.

Indie Hacker Tools Plus is a curated repository of essential tools and technology stacks for independent developers. The repository aims to help developers enhance efficiency, save costs, and mitigate risks by using popular and validated tools. It provides a collection of tools recognized by the industry to empower developers with the most refined technical support. Developers can contribute by submitting articles, software, or resources through issues or pull requests.

The Together Cookbook is a collection of code and guides designed to help developers build with open source models using Together AI. The recipes provide examples on how to chain multiple LLM calls, create agents that route tasks to specialized models, run multiple LLMs in parallel, break down tasks into parallel subtasks, build agents that iteratively improve responses, perform LoRA fine-tuning and inference, fine-tune LLMs for repetition, improve summarization capabilities, fine-tune LLMs on multi-step conversations, implement retrieval-augmented generation, conduct multimodal search and conditional image generation, visualize vector embeddings, improve search results with rerankers, implement vector search with embedding models, extract structured text from images, summarize and evaluate outputs with LLMs, generate podcasts from PDF content, and get LLMs to generate knowledge graphs.

Archon is an AI meta-agent designed to autonomously build, refine, and optimize other AI agents. It serves as a practical tool for developers and an educational framework showcasing the evolution of agentic systems. Through iterative development, Archon demonstrates the power of planning, feedback loops, and domain-specific knowledge in creating robust AI agents.

LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

The 'linktre-tools' repository is a collection of tools and resources for independent developers, AI products, cross-border e-commerce, and self-media office assistance. It aims to provide a curated list of tools and products in these areas. Users are encouraged to contribute by submitting pull requests and raising issues for continuous updates. The repository covers a wide range of topics including AI tools, independent development tools, popular AI products, tools for web development, online tools, media operations, and cross-border e-commerce resources.

Peter Cat is an intelligent Q&A chatbot solution designed for community maintainers and developers. It provides a conversational Q&A agent configuration system, self-hosting deployment solutions, and a convenient integrated application SDK. Users can easily create intelligent Q&A chatbots for their GitHub repositories and quickly integrate them into various official websites or projects to provide more efficient technical support for the community.

Helicone is an open-source observability platform designed for Language Learning Models (LLMs). It logs requests to OpenAI in a user-friendly UI, offers caching, rate limits, and retries, tracks costs and latencies, provides a playground for iterating on prompts and chat conversations, supports collaboration, and will soon have APIs for feedback and evaluation. The platform is deployed on Cloudflare and consists of services like Web (NextJs), Worker (Cloudflare Workers), Jawn (Express), Supabase, and ClickHouse. Users can interact with Helicone locally by setting up the required services and environment variables. The platform encourages contributions and provides resources for learning, documentation, and integrations.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

Superflows is an open-source alternative to OpenAI's Assistant API. It allows developers to easily add an AI assistant to their software products, enabling users to ask questions in natural language and receive answers or have tasks completed by making API calls. Superflows can analyze data, create plots, answer questions based on static knowledge, and even write code. It features a developer dashboard for configuration and testing, stateful streaming API, UI components, and support for multiple LLMs. Superflows can be set up in the cloud or self-hosted, and it provides comprehensive documentation and support.

ChatOpsLLM is a project designed to empower chatbots with effortless DevOps capabilities. It provides an intuitive interface and streamlined workflows for managing and scaling language models. The project incorporates robust MLOps practices, including CI/CD pipelines with Jenkins and Ansible, monitoring with Prometheus and Grafana, and centralized logging with the ELK stack. Developers can find detailed documentation and instructions on the project's website.

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