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Sleek Design enables users to create landing pages with AI by describing their product or company, whether it's an AI startup or SaaS application. It generates structured landing pages tailored to various business types based on the input provided. Sleek Design allows exporting of production-ready code in frameworks like Next.js, Tailwind, and shadcn/ui, which is beneficial for developers needing quick front-end scaffolding. The platform includes standard components such as pricing, roadmap, and waitlist sections. Aimed at minimizing manual layout creation, Sleek Design produces usable code that can be further integrated or customized for deployment. It functions with minimal input and provides rapid results.
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Phoenix.new is a web development tool powered by prompts, created by Fly.io, that enables developers to create and edit applications using straightforward text commands instead of traditional coding. This tool deciphers prompts, automatically generates code, and offers real-time previews via a headless Chrome browser that can interact with the application to verify functionality. Developers may opt for Phoenix.new to significantly speed up their work process, minimize mistakes through live testing, and facilitate rapid prototyping—all while instantly viewing the changes, making it especially useful for teams aiming to quickly iterate ideas or develop functional applications with less technical burden.
Riku is a platform enabling users to develop AI models without coding. It offers various features, integrations, and resources that empower users to create content, refine models, design prompts, and more.
Gradio is a platform designed for developing and distributing machine learning models. It offers an easy-to-use web interface and efficient setup process for swiftly constructing and launching ML models. With Gradio, users can design interfaces for a wide range of ML applications, such as sketch recognition or time series prediction, and share these interfaces with others through a public link or consistent hosting on Hugging Face Spaces. Additionally, it can be integrated into Python notebooks or displayed as a standalone webpage.