Business Software for Lovable

OpenAI aims to guarantee that artificial general intelligence (AGI)—defined as highly autonomous systems excelling beyond human capabilities in most economically significant tasks—serves the interests of all humanity. While we intend to develop safe and advantageous AGI directly, we consider our mission successful if our efforts support others in achieving this goal. You can utilize our API for a variety of language-related tasks, including semantic search, summarization, sentiment analysis, content creation, translation, and beyond, all with just a few examples or by clearly stating your task in English. A straightforward integration provides you with access to our continuously advancing AI technology, allowing you to explore the API’s capabilities through these illustrative completions and discover numerous potential applications.

Xano offers a fully-managed, scaleable infrastructure that powers your backend. You can also quickly create the business logic that powers your backend with Xano without writing a single line or use one our pre-made templates to launch quickly and without compromising security or scale. You can quickly create custom API endpoints with just one line of code. Our out-of-the box CRUD operations, Marketplace extensions and templates will accelerate your time to market. Your API is "ready-to use" so you can connect to any frontend immediately and concentrate on your business logic. Swagger automatically documents everything so that you can connect to any frontend easily. Xano uses PostgreSQL, which offers the flexibility of a relational and the Big data needs that a NoSQL solution. You can add features to your backend with just a few clicks. Or, you can use pre-made templates and extensions to jumpstart the project.

Claude is an advanced AI assistant created by Anthropic to help users think, create, and work more efficiently. It is built to handle tasks such as content creation, document editing, coding, data analysis, and research with a strong focus on safety and accuracy. Claude enables users to collaborate with AI in real time, making it easy to draft websites, generate code, and refine ideas through conversation. The platform supports uploads of text, images, and files, allowing users to analyze and visualize information directly within chat. Claude includes powerful tools like Artifacts, which help organize and iterate on creative and technical projects. Users can access Claude on the web as well as on mobile devices for seamless productivity. Built-in web search allows Claude to surface relevant information when needed. Different plans offer varying levels of usage, model access, and advanced research features. Claude is designed to support both individual users and teams at scale. Anthropic’s commitment to responsible AI ensures Claude is secure, reliable, and aligned with real-world needs.

Gemini is Google’s intelligent AI platform built to support productivity, creativity, and learning across work, school, and everyday life. It allows users to ask questions, generate text, images, and videos, and explore ideas using conversational AI powered by Gemini 3. By integrating directly with Google Search, Gemini provides grounded answers and supports detailed follow-up discussions on complex topics. The platform includes advanced tools like Deep Research, which condenses hours of online research into structured reports in minutes. Gemini also enables real-time collaboration and spoken brainstorming through Gemini Live. Users can connect Gemini to Gmail, Google Docs, Calendar, Maps, and other Google services to complete tasks across multiple apps at once. Custom AI experts called Gems allow users to save instructions and tailor Gemini for specific roles or workflows. Gemini supports large file analysis with a long context window, making it capable of reviewing books, reports, and large codebases. Flexible subscription tiers offer different levels of access to models, credits, and creative tools. Gemini is available on web and mobile, making it accessible wherever users need intelligent assistance.

Vercel delivers a modern AI Cloud environment built to help developers create and launch highly optimized web applications with ease. Its platform combines intelligent infrastructure, ready-made templates, and seamless git-based deployment to reduce engineering overhead and accelerate product delivery. Developers can leverage support for leading frameworks such as Next.js, Astro, Nuxt, and Svelte to build visually rich, lightning-fast interfaces. Vercel’s expanding AI ecosystem—including the AI Gateway, SDKs, and workflow automation—makes it simple to connect to hundreds of AI models and use them inside any digital product. With fluid compute and global edge distribution, every deployment is instantly propagated for performance at any scale. The platform’s speed advantage has enabled companies like Runway and Zapier to drastically reduce build times and page load speeds. Built-in security and advanced monitoring tools ensure applications remain dependable and compliant. Overall, Vercel helps teams innovate faster while delivering experiences that feel responsive, intelligent, and personalized to every user.

React simplifies the process of building interactive user interfaces by allowing developers to design straightforward views for each state of their application. When your data changes, React intelligently updates and renders only the components that need to be altered, ensuring efficiency. The use of declarative views contributes to a more predictable coding experience and facilitates debugging. You can create self-contained components that maintain their own state and combine them to construct intricate UIs. Since the logic for these components is implemented in JavaScript rather than templates, it allows for seamless data transfer throughout the application while keeping the state separate from the DOM. React does not impose restrictions on your technology stack, enabling you to introduce new features in React without the necessity of overhauling your existing codebase. Each React component features a render() method that accepts input data and determines what should be displayed. This particular example employs an XML-like syntax known as JSX, and the input data provided to the component can be accessed through this.props within the render() method. Overall, this flexibility makes React a powerful tool for modern web development.

We are a group of passionate engineers dedicated to creating tools specifically designed for fellow engineers. Our mission is to develop the ideal email platform that we've always dreamed of — one that operates seamlessly and efficiently. You can receive instant notifications directly to your server, informing you whenever an email is delivered, opened, bounced, or a link is clicked. Furthermore, you can simulate events and test our API safely, eliminating the possibility of unintentionally sending genuine emails to actual recipients. In addition, our platform is supported by reputable IPs used by reliable senders, ensuring a balanced workload across various IP pools. Enjoy the benefits of a fully managed dedicated IP that not only warms up automatically but also scales according to your sending volume, all without any waiting periods. With our service, you can focus on what matters most: building and innovating without the headaches of traditional email systems.

Claude Sonnet 3.5 sets a new standard for AI performance with outstanding benchmarks in graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval). This model shows significant improvements in understanding nuance, humor, and complex instructions, while consistently producing high-quality content that resonates naturally with users. Operating at twice the speed of Claude Opus 3, it delivers faster and more efficient results, making it perfect for use cases such as context-sensitive customer support and multi-step workflow automation.

Claude Sonnet 3.7, a state-of-the-art AI model by Anthropic, is designed for versatility, offering users the option to switch between quick, efficient responses and deeper, more reflective answers. This dynamic model shines in complex problem-solving scenarios, where high-level reasoning and nuanced understanding are crucial. By allowing Claude to pause for self-reflection before answering, Sonnet 3.7 excels in tasks that demand deep analysis, such as coding, natural language processing, and critical thinking applications. Its flexibility makes it an invaluable tool for professionals and organizations looking for an adaptable AI that delivers both speed and thoughtful insights.

The Model Context Protocol (MCP) is a flexible, open-source framework that streamlines the interaction between AI models and external data sources. It enables developers to create complex workflows by connecting LLMs with databases, files, and web services, offering a standardized approach for AI applications. MCP’s client-server architecture ensures seamless integration, while its growing list of integrations makes it easy to connect with different LLM providers. The protocol is ideal for those looking to build scalable AI agents with strong data security practices.

Claude Opus 4.7 is an advanced AI model built to push the boundaries of software engineering, automation, and complex reasoning tasks. Compared to Opus 4.6, it delivers notable improvements in handling challenging coding workflows and executing long-duration tasks with consistency. The model excels at strictly following user instructions, reducing ambiguity and improving output accuracy. It also introduces stronger self-verification capabilities, allowing it to check and refine its own results before presenting them. One of its key upgrades is enhanced multimodal functionality, particularly its ability to process higher-resolution images with greater clarity. This enables more precise analysis of visuals such as technical diagrams, dense screenshots, and structured data layouts. Opus 4.7 is also more refined in generating professional content, including polished documents, presentations, and interface designs. In real-world applications, it performs effectively across domains like finance, legal analysis, and business workflows. The model incorporates improved memory features, allowing it to retain context across extended sessions and reduce repetitive input requirements. It also introduces built-in safeguards to detect and prevent misuse, especially in sensitive cybersecurity scenarios. With broad availability across APIs and cloud platforms, Opus 4.7 offers developers and enterprises a powerful, scalable AI solution.

SEOryon is an innovative SEO platform designed for businesses seeking genuine ranking improvements without the inflated costs of agencies or the generic AI-generated content that many tools provide. Unlike most SEO tools that simply offer data, SEOryon is focused on delivering measurable outcomes. By gaining a deep understanding of your business, clientele, market dynamics, and content management system, the platform devises a comprehensive content strategy and generates articles tailored to your needs. Users can choose between a one-click semi-autopilot mode or a full autopilot option, where blogs are automatically written and published, allowing you to concentrate on managing your business. The distinguishing factor of SEOryon is its profound contextual awareness; each article is informed by your brand profile, existing content, CMS guidelines, real-time SEO insights, and ongoing feedback. This ensures that the articles do not compete with your current ranking pages, avoid repeating themes you've previously addressed, and refrain from introducing features that your business does not provide. Whatever type of business you operate—be it a SaaS product, an agency, or a content-driven site—SEOryon seamlessly adjusts to fit your unique requirements, ensuring that your content strategy remains relevant and effective. This adaptability makes SEOryon a versatile choice for businesses looking to enhance their online presence.

Claude Opus 4.6 is a state-of-the-art AI model from Anthropic, designed to deliver advanced reasoning, coding, and enterprise-level performance. It improves significantly on previous versions with better planning, debugging, and code review capabilities. The model can sustain long-running, agentic workflows and operate effectively across large codebases. One of its key features is a 1 million token context window in beta, allowing it to handle extensive documents and complex tasks. Claude Opus 4.6 excels in knowledge work, including financial analysis, research, and document creation. It also performs strongly on industry benchmarks, leading in areas like agentic coding and multidisciplinary reasoning. The model includes adaptive thinking, enabling it to adjust its reasoning depth based on task complexity. Developers can control performance using adjustable effort levels for speed, cost, and accuracy. It integrates with productivity tools such as Excel and PowerPoint for enhanced workflow automation. Overall, Claude Opus 4.6 provides a powerful and reliable AI solution for professional and enterprise use cases.

Claude Sonnet 4.6 represents a comprehensive upgrade to Anthropic’s Sonnet model line, delivering expanded capabilities across coding, reasoning, computer interaction, and professional knowledge tasks. With a beta 1M token context window, the model can process massive datasets such as full repositories, extended legal agreements, or multi-document research projects in a single request. Developers report improved reliability, better instruction adherence, and fewer hallucinations, making long working sessions smoother and more predictable. Early users preferred Sonnet 4.6 over its predecessor in the majority of tests and often selected it over Opus 4.5 for practical coding work. The model’s computer-use skills have advanced significantly, enabling it to navigate spreadsheets, complete web forms, and manage multi-tab workflows with near human-level competence in many cases. Benchmark evaluations show consistent performance gains across reasoning, coding, and long-horizon planning tasks. In competitive simulations like Vending-Bench Arena, Sonnet 4.6 demonstrated strategic capacity-building and profit optimization over time. On the developer platform, it supports adaptive and extended thinking modes, context compaction, and improved tool integration for greater efficiency. Claude’s API tools now automatically execute filtering and code-processing steps to enhance search and token optimization. Sonnet 4.6 is available across Claude.ai, Cowork, Claude Code, the API, and major cloud providers at the same starting price as Sonnet 4.5.

Optimal is the go-to platform for modern product and design teams that need to scale user research and testing quickly, reliably, and without friction. Designed for speed and impact, Optimal combines intuitive, AI-powered tools with research best practices to help you uncover what users need and drive smarter decisions, faster. From product managers and designers to UX researchers and marketers, teams use Optimal to conduct card sorting, tree testing, first-click testing, surveys, and prototype validation – all in one seamless platform. No specialized research background required. AI-driven synthesis turns feedback into clear, actionable insights, while built-in participant recruitment and guided study flows accelerate everything from idea validation to UX optimization. Whether you're testing early concepts or refining live products, Optimal helps reduce risk and align teams with evidence. Trusted by leading global brands like Netflix, Apple, and Workday, Optimal scales across roles and departments while maintaining quality. It’s built to make it easier for everyone to uncover user needs and confidently shape digital experiences that work. Use Optimal to discover friction, validate ideas, improve accessibility, and make insight-driven decisions that move the business forward.

Mailtrap is an email API and SMTP service provider built for developer and product teams. It is designed to send transactional and bulk emails with a strong focus on high deliverability rates and reliable performance. Quick integration is enabled through official SDKs for major programming languages, ready-to-use code snippets, and extensive resources, including broad documentation, blog guides, and video tutorials. The platform is backed by 24/7 support from a team of engineers and deliverability experts. Mailtrap’s robust infrastructure is built to handle high-volume sending, allowing businesses to scale confidently. High inboxing rates are ensured with features like dedicated IPs, auto warm-up, separate sending streams, and multi-tenant accounts.

Clerk offers a full-stack authentication and user management system designed for modern web applications. It provides secure APIs and drop-in UI components for sign-up, sign-in, user profiles, multi-factor authentication (MFA), and organization management. Clerk supports frameworks like Next.js, React, Vue, and Nuxt, with built-in OAuth, SSO, and RBAC (Role-Based Access Control). Focused on developer experience, Clerk eliminates the need to build authentication from scratch, ensuring security and scalability without sacrificing flexibility or control.

Quizell is an AI-powered platform for building product recommendation quizzes, lead-capture forms, and interactive funnels — purpose-built for ecommerce teams, marketers, and developers who need conversion-focused interactive content without writing code. Core capabilities: drag-and-drop builder, AI-generated questions and logic, conditional branching, AI product recommendation engine, A/B testing, advanced analytics, and full design customization (CSS, custom fonts, branding). Deploy via embed, popup, standalone URL, or API. Integrates natively with 30+ tools across the ecommerce and martech stack: Shopify, Wix, BigCommerce, Klaviyo, HubSpot, Mailchimp, ActiveCampaign, Google Analytics, Meta Pixel, Google Sheets, plus Zapier (8,000+ apps) and n8n (1,000+ apps) for custom workflows. Used by 25,000+ brands including Burberry, SharkNinja, Bauerfeind AG, Ouidad, JOTT, and Clear Minds. 50M+ leads generated. 32% average CVR lift. Rated 4.9 on Shopify, 4.8 on Wix, 4.8 on G2. Free plan available. Paid plans from $15/month.

AI can reason, but real work often stops at a login, unsupported interface, paid service, missing software, or decision that needs a person. Solid gives that missing layer a name: the operating system for always-on AI agents. Its persistent AI agent runtime keeps approved context and work moving after the chat closes. Subject to permissions and system policies, a Solid-powered agent can use APIs and MCP connections, operate browsers, desktops, phones, and software interfaces, or write and test code to create the missing path. Solid can coordinate models and tools, recover where the workflow permits, check completion, and route sensitive or out-of-policy actions through human-in-the-loop approvals. Supported computers, approved identities and accounts, credentials, phone numbers, cloud resources, and paid services remain subject to customer permissions, budgets, policies, and availability. Developers can use Solid's API to place an agent inside their own product.

Learn to understand your customers. Create a better product. PostHog offers a complete product analytics UX. Analyze trends, funnels and retention. Event autocapture is the key to all of this. PostHog automatically captures events and user behavior within your mobile or web app. Know how traffic flows through your app. Know the pageviews, actions, and other information of every user on your website or app. Visualize product trends and retention. Analytics can help you understand your users and how to keep them coming back. Visualize how users navigate your website or app. Use metrics to determine what needs improvement. Release new features regularly without worrying about breaking existing changes. Rapidly test new ideas and roll them out to 10%, 20%, or 100% of your users. PostHog can easily be deployed in your cloud for easy adoption and onboarding. PostHog is designed to scale. This includes our open core pricing model. PostHog can manage your deployment on your infrastructure.

Three.js is a library for 3D graphics in JavaScript designed to be lightweight, user-friendly, and compatible across different web browsers. The primary goal of this project is to provide a versatile 3D library that simplifies the process of creating 3D content on the web. Currently, the library offers a WebGL renderer, though examples also showcase experimental WebGPU, SVG, and CSS3D renderers. To render visuals using Three.js, you'll need to set up three essential components: a scene, a camera, and a renderer, which work together to display the scene through the camera's perspective. Besides the WebGLRenderer, Three.js includes additional renderers that serve as alternatives for users with older browsers or those lacking WebGL capability. To keep the visuals animated and responsive, you should implement a loop that refreshes the scene rendering each time the screen updates, generally at a rate of 60 frames per second. Within this animation loop, you can also invoke other functions to alter or move elements in the scene dynamically while the application is running. This setup allows for a fluid and interactive 3D experience for users engaging with your application.

A utility-first CSS framework that offers a variety of classes such as flex, pt-4, text-center, and rotate-90 allows developers to create any design directly within their markup. By utilizing utility classes, you can adhere to a systematic approach without cluttering your stylesheets with random values. This method facilitates consistent choices regarding colors, spacing, typography, shadows, and all other elements that contribute to a well-structured design system. The low-level nature of Tailwind means it doesn't push you to replicate the same design across different sites. Even when using identical color palettes and sizing scales, you can easily craft the same component to achieve a distinct appearance in a new project. Moreover, Tailwind efficiently purges all unused CSS during production builds, ensuring that the final CSS bundle remains as compact as possible. As a result, many Tailwind projects deliver less than 10kB of CSS to users, exemplifying the framework's efficiency and effectiveness in web design. This lightweight approach not only enhances site performance but also improves loading times for end-users.

Replicate is a comprehensive platform designed to help developers and businesses seamlessly run, fine-tune, and deploy machine learning models with just a few lines of code. It hosts thousands of community-contributed models that support diverse use cases such as image and video generation, speech synthesis, music creation, and text generation. Users can enhance model performance by fine-tuning models with their own datasets, enabling highly specialized AI applications. The platform supports custom model deployment through Cog, an open-source tool that automates packaging and deployment on cloud infrastructure while managing scaling transparently. Replicate’s pricing model is usage-based, ensuring customers pay only for the compute time they consume, with support for a variety of GPU and CPU options. The system provides built-in monitoring and logging capabilities to track model performance and troubleshoot predictions. Major companies like Buzzfeed, Unsplash, and Character.ai use Replicate to power their AI features. Replicate’s goal is to democratize access to scalable, production-ready machine learning infrastructure, making AI deployment accessible even to non-experts.

Prepare yourself for a development environment that can finally keep pace with your creativity. Vite is a cutting-edge build tool designed to deliver an accelerated and streamlined development experience tailored for contemporary web projects. It is composed of two primary components: A development server that enhances native ES modules with rich features, including incredibly swift Hot Module Replacement (HMR) capabilities. A build command that utilizes Rollup to bundle your code, pre-configured to generate highly optimized static assets suitable for production environments. Vite is designed with strong opinions and comes equipped with practical defaults right out of the box, while also being highly adaptable through its Plugin API and JavaScript API, complete with full typing support. This flexibility allows developers to customize their setup to meet specific project needs, enhancing the overall development workflow.

Membrane is the next evolution of Integration App, built specifically to let teams create product integrations through natural language instead of manual engineering. The platform uses AI to read API docs, configure infrastructure, and generate complete integration packages that developers can plug directly into their applications. Its architecture includes the Membrane Agent for instant use case generation, the Membrane Engine for reliable execution, and Membrane Packages for code-level ownership. Because it understands APIs across thousands of apps, it can build integrations for CRMs, accounting systems, HR tools, collaboration platforms, and virtually any external service. Membrane also provides real-time sync capabilities, embedded workflow builders, and on-demand integration delivery for customer-specific needs. With built-in observability, error handling, and robust guardrails, teams can trust the system to run at scale without constant babysitting. Global brands use Membrane to accelerate development cycles, reduce engineering overhead, and deliver integrations that used to take months in just minutes. It gives developers and product teams a reliable, AI-native foundation for deep, flexible, and future-proof integrations.