AI development 11

Platform for building with Google's Gemini AI models. Google AI Studio is a platform designed to help developers quickly start building with Gemini, Google's next-generation family of multimodal generative AI models. It provides access to powerful AI capabilities through an API key, allowing integration into various applications. The platform offers a generous free tier and flexible pay-as-you-go plans, enabling users to experience Gemini models that understand text, code, images, audio, and video. It also boasts breakthrough capabilities like a 2M token context window, context caching, and search grounding for deeper comprehension and accurate responses.

RunPod offers cost-effective GPU rentals and serverless inference for AI development and scaling. RunPod is a cloud platform specializing in GPU rentals, offering cost-effective solutions for AI development, training, and scaling. It provides on-demand GPUs, serverless inference, and tools like Jupyter for PyTorch and TensorFlow, catering to startups, academic institutions, and enterprises.

AI services company specializing in AI application development and consulting for businesses and startups. AI Superior is a German-based AI services company focusing on end-to-end AI-based application development and AI consulting. They design and build web and mobile apps, as well as custom software products that rely on complex machine learning and AI models and algorithms. AI Superior also offers fixed AI development plans tailored to support startups at every stage of the software development process.

A platform for creating, sharing, and using AI agents without coding. xoul.ai is a platform designed as a nexus for AI agents. It aims to provide an open platform for creating, sharing, and utilizing powerful AI agents without requiring extensive coding knowledge. The platform envisions a future where AI feels human, lives, chooses, understands, evolves, creates, dreams, thinks, collaborates, and questions. It focuses on transforming fragmented AI workflows into a network of composable agents, making AI accessible and democratized for everyone.

Unified backend platform for AI-era apps, agents, and APIs with visual logic and scalable infrastructure. Xano is a unified, complete backend platform designed for the AI era, enabling users to build and orchestrate production-grade applications, AI agents, and MCP servers. It provides a secure, scalable platform with visual logic, a built-in Postgres database, dynamic APIs, modular AI components, and auto-scaling infrastructure. Xano allows users to build backends with AI speed, visual logic, and code, eliminating the need to stitch together separate tools for databases, APIs, authentication, integrations, and infrastructure. It aims to be the fastest way to create production-ready backends (APIs, data, logic, infrastructure) for any app or agent, unifying AI speed, code control, and visual clarity without requiring DevOps.

AI-powered platform for building full-stack apps with natural language. Vitara.ai is an AI-powered full-stack development platform that enables users to build web and mobile applications using natural language prompts, eliminating the need for traditional coding. It allows anyone to design, build, and scale full-stack apps in record time using a chat interface and its 'vibe coding' tool, enabling faster app development, deployment, and scaling.

AI-powered platform for non-coders to build web apps quickly. Floot is an AI-powered platform designed for non-coders and entrepreneurs to build serious web applications quickly and easily. It provides a complete built-in tech stack including backend, database, and hosting, eliminating the need for external services. Floot allows users to build apps by simply chatting or drawing changes, offers automatic error correction, and provides human support. It aims to turn ideas into products without coding, ensuring full ownership of the app, data, and intellectual property.

LM Studio: Run and download LLMs locally, supporting LLaMa, MPT, and Gemma. LM Studio offers fast and secure local LLM running and download services, supporting various models like LLaMa, MPT, and Gemma. It allows users to run LLMs on their laptop entirely offline, use models through the in-app Chat UI or an OpenAI compatible local server, download compatible model files from Hugging Face repositories, and discover new & noteworthy LLMs in the app's home page. It simplifies the use of open-source large language models (LLMs) without needing programming skills.

A Claude Code course and community for building software and earning online Claude Code Club is a paid online course and community that teaches members how to use Claude Code to build and monetize websites, applications, AI agents, automations, content systems, and other software. It provides a structured nine-stage curriculum, weekly lessons, practical templates, prompts, CLAUDE.md starter files, skills, MCP server setups, live build-alongs, challenges, and feedback from a community of more than 7,000 members. The program is designed for beginners as well as experienced Claude Code users and covers installation, project context, full-stack development, agent orchestration, cloud deployment, client work, freelancing, agency services, and product monetization.

A collaborative platform for designing, testing, and refining LLM workflows. PromptGruup is a collaborative prompt engineering platform designed to boost the time to deployment for LLM workflows. It empowers developers and prompt engineers with advanced tools to design and quickly iterate their LLM workflows through a node-based interface. It offers features like version control, structured API chaining, and response parsing to ensure AI-driven applications work with efficiency and precision.

A collaborative workspace for prompt engineering and AI feature development. Prompt Mixer is a desktop app and collaborative workspace designed for managers, engineers, and data experts to develop AI features through prompt engineering. It allows users to create, version, and test chains of prompts with different ML models and connections. It supports creating prompts using Markdown, automatic version control, dataset integration, and comprehensive evaluation with built-in and custom metrics.