Business Software for CSS

Doppio is a comprehensive API service designed to help developers seamlessly convert HTML content or entire web pages into high-quality PDF documents and PNG screenshots, utilizing a sophisticated rendering engine that adheres to modern web standards like HTML, CSS, web fonts, and JavaScript, ensuring that the final outputs are both accurate and visually aligned with the original content. With straightforward API calls, users can choose between synchronous and asynchronous rendering options, and they have the capability to directly upload the results to their own S3 storage using presigned URLs, making it easy to integrate into various technology stacks such as Node.js, Python, PHP, and Ruby, complete with ready-to-use code samples and SDK support for quicker deployment. Additionally, Doppio offers essential features such as observability and logging to facilitate easier debugging, a scalable infrastructure capable of handling anything from hundreds to millions of document renders, webhook functionality for streamlined callback workflows, and a versatile HTML template system that enhances customization, allowing developers to tailor the output to their specific needs. This comprehensive approach not only simplifies the rendering process but also empowers developers to focus on creating exceptional applications without being bogged down by underlying infrastructure challenges.

Capture is a robust browser API designed to enable developers to swiftly take screenshots of any webpage, create animated GIFs, convert web content into high-quality PDFs, scrape information, and access metadata such as titles and descriptions, all through straightforward API calls that eliminate the need for server management or headless browser setups. It features advanced capabilities, including the ability to precisely define capture areas using CSS selectors or custom clipping, timing options for accommodating dynamic content loading, and official SDKs for various programming languages like Node.js, Go, Rust, and Python to facilitate seamless integration. With its cutting-edge infrastructure that boasts edge-optimized delivery and a queue-less architecture, Capture guarantees low latency, scalable performance, and outstanding uptime coupled with real-time rendering. Additionally, Capture's compatibility with automation platforms like n8n empowers users to create no-code workflows, allowing for automated screenshot captures, PDF report generation, content tracking, alert notifications, and metadata extraction. The combination of these features makes Capture an invaluable tool for developers seeking efficiency and flexibility in their web content management tasks.

Pencil.dev is an innovative design-in-code platform that utilizes AI to seamlessly integrate visual interface design within development environments such as Cursor, VS Code, and various other IDEs, allowing designers and developers to collaborate without the need for tool handoffs. Centered around an agent-driven Model Context Protocol (MCP) canvas and an accessible design format embedded in your codebase, Pencil enables users to create, refine, and produce pixel-perfect UI screens with the aid of AI, all while maintaining version control in Git alongside their source code, which facilitates branches, merges, and rollbacks akin to traditional coding practices. By incorporating a Figma-like canvas directly into the IDE, it significantly reduces the hassle of switching between different tools, supports the import of frames and assets from Figma while preserving vectors and styles, and allows for manipulation of design elements through intuitive editing panels, layers, and CSS-like properties. Furthermore, AI models assist in the simultaneous generation of screens, flows, and components, enhancing productivity and creativity in the design process. This integration fosters a more cohesive workflow, making it easier for teams to innovate and iterate on their projects efficiently.

WebIQ is a fully web-based Human-Machine Interface (HMI) and SCADA software solution that leverages open web technologies, including HTML5, CSS, and JavaScript, enabling engineers and automation professionals to create, develop, and operate responsive industrial-grade interfaces without needing extensive programming knowledge. With its intuitive drag-and-drop low-code Designer tool, users can effortlessly design personalized dashboards, controls, alarms, trends, and visual elements that function seamlessly across desktops, tablets, and smartphones. The platform's adherence to open standards, such as OPC-UA, allows it to connect flexibly to various industrial data sources and systems, eliminating concerns about vendor lock-in. Furthermore, the WebIQ Runtime delivers HMIs through an integrated web and websocket server that can be deployed locally or on embedded systems, such as Raspberry Pi or PLCnext devices, while also supporting multiple simultaneous clients. It ensures secure access, manages user rights, and includes features for event and alarm logging, along with historical data recording, making it a comprehensive solution for modern industrial needs. This flexibility and ease of use position WebIQ as an ideal choice for professionals seeking to optimize their operational processes.

DeepSeek-V4 is an advanced open-source large language model engineered for efficient long-context processing and high-level reasoning tasks. Supporting a massive one million token context window, it enables developers to build applications that handle extensive data and complex workflows without fragmentation. The model is available in two versions: V4-Pro for maximum reasoning power and V4-Flash for faster, cost-efficient performance. DeepSeek-V4-Pro delivers top-tier results in coding, mathematics, and knowledge benchmarks, rivaling leading proprietary models. Its architecture incorporates innovative attention techniques that significantly improve efficiency while maintaining strong performance. The model is optimized for agent-based workflows, allowing seamless integration with tools and automation systems. It also supports dual reasoning modes, enabling users to switch between quick responses and deeper analytical outputs. DeepSeek-V4 is fully open-source, providing flexibility for customization and deployment across various environments. Overall, it offers a powerful and scalable solution for modern AI development.

Commentix is an easy-to-use and streamlined commenting tool tailored for contemporary websites, enabling publishers to implement a fully operational comment section with very little configuration. It features an embeddable widget that can be incorporated into a site with just two lines of code, allowing users to freely post and interact with comments directly on the web pages. Designed to appear native, the widget embeds effortlessly and can be customized with CSS to align with the aesthetic of the site. Prioritizing speed and efficiency, Commentix maintains a lightweight footprint of under 30 KB and is delivered through a CDN, ensuring rapid loading times without compromising the overall page performance. Additionally, it boasts robust moderation capabilities that effectively filter out spam and keep conversations relevant, while its SEO-friendly structure facilitates search engines in crawling and indexing comment content easily. With a strong commitment to user privacy, Commentix does not utilize tracking cookies, includes no advertisements, and refrains from selling user data. This dedication to privacy and ease of use makes Commentix an ideal choice for publishers looking to enhance user engagement on their websites.

PushFeedback is an intuitive feedback widget platform aimed at assisting teams in gathering, visualizing, and interpreting user feedback straight from their documentation sites. This tool allows organizations to integrate a customizable widget into their documentation, enabling users to report confusion, omissions, or malfunctions, which offers teams valuable insights into the quality and usability of their content. With the option for visual feedback through screenshots, users can pinpoint exact issues and annotate specific elements, which removes any uncertainty from their comments and simplifies the diagnosis of problems. The platform features real-time analytics dashboards that reveal trends in feedback, sentiment analysis, and identify which pages receive the most negative reactions, thus empowering teams to prioritize revisions based on authentic user experiences. Additionally, the integrated AI Reports function automatically processes feedback at scale, providing organized summaries, recurring themes, and actionable suggestions, thereby alleviating the need for tedious manual reviews of extensive comments. By streamlining the feedback process, PushFeedback enhances the efficiency of teams striving to improve their documentation.

slicer.dev is a powerful browser extension that facilitates the extraction and reuse of components from any website, enabling users to capture both static and interactive elements and seamlessly incorporate them into their projects with ease. By allowing users to navigate to a webpage and select a specific element or section, the tool provides exports in various formats, including React code or AI-compatible prompts for platforms such as Lovable, Bolt, v0, and Cursor. It is designed to maintain the complete structure and functionality of components, including animations and interactive features, ensuring an almost flawless duplication process without the cumbersome need to manually dissect or recreate HTML and CSS. This innovative extension enhances the workflow from idea to execution by transforming real-world UI examples into easily reusable assets, which greatly minimizes both development time and effort. Additionally, slicer.dev allows for the selection of both parent and child elements, enabling precise extraction and organized outputs for user convenience. Ultimately, it empowers developers to accelerate their projects while maintaining high quality and fidelity in their designs.

Zerocheck is an advanced testing platform driven by AI that automates the entire process of test generation, execution, and upkeep based on modifications made in pull requests, allowing teams to identify regressions effortlessly without the need for manual test creation or ongoing maintenance. This platform functions by analyzing the differences in a pull request to pinpoint which user interactions are impacted, subsequently creating new tests that run in conjunction with the complete test suite, while directly posting the outcomes as comments on the pull request. Unlike traditional methods, it visually interacts with the application through accessibility trees and on-screen components, which ensures that tests remain reliable even when the UI undergoes changes or redesigns. Tests can be easily crafted and modified using plain English, making it accessible for all team members regardless of their familiarity with testing frameworks or programming skills. Each execution of the tests yields comprehensive evidence artifacts—such as recordings, screenshots, step traces, timestamps, and linkages to specific commits—which can be exported for compliance and auditing needs. This innovative approach not only accelerates the testing process but also enhances collaboration within development teams, ensuring that quality assurance is seamlessly integrated into their workflow.

PrimeVue is an advanced UI component library tailored for Vue.js, offering an extensive array of customizable and reusable components, icons, blocks, and application templates that enhance frontend development and boost efficiency. With over 80 pre-built components that address various aspects of interface design—including forms, data tables, navigation, dialogs, and data visualization—developers can create intricate applications without the need for building UI elements from the ground up. This library is crafted to be exceptionally flexible and design-agnostic, providing styled options through pre-existing themes like Aura, Lara, or Nora, as well as an unstyled mode that grants complete control with CSS frameworks such as Tailwind, Bootstrap, or custom styles. Furthermore, PrimeVue promotes responsive design, adheres to accessibility standards (ensuring WCAG compliance), and embraces contemporary development practices, including integration with TypeScript, modular imports, and compatibility with platforms like Vite and Nuxt. By streamlining the development process, PrimeVue empowers developers to focus on building robust applications with ease.

Ovren serves as an innovative AI-driven development platform that aims to act as a complete “AI engineering department,” allowing teams to automate authentic software development tasks directly within their current codebase. Rather than merely functioning as a coding assistant that provides suggestions, Ovren integrates with a GitHub repository to deploy autonomous AI engineers for both frontend and backend tasks, fully grasping the project's structure, conventions, and logic. Users can delegate specific tasks such as feature implementation, bug fixing, code refactoring, or test additions, with the system handling these tasks from start to finish, delivering production-quality code updates along with comprehensive execution logs and reports. Its operation follows a simple and efficient workflow: users connect their project, assign an AI engineer to a task, and then review the produced code prior to giving their approval, guaranteeing that no changes are integrated without human review. This ensures a balance between the efficiency of AI and the necessary oversight of human developers. Moreover, the platform continually evolves, adapting to user feedback and enhancing its capabilities over time.

GPT-5.5 Pro is a next-generation AI model built for execution-heavy tasks across coding, research, business analysis, and scientific workflows. It can interpret complex instructions, break them into steps, and carry work through to completion using tools and automation. The model supports tasks such as generating documents, building applications, analyzing datasets, and navigating software environments. It is designed to operate across tools, enabling seamless workflows from idea to output. In addition, GPT-5.5 Pro integrates with workspace agents—customizable AI agents that automate recurring and multi-step processes across teams. These agents can handle tasks like lead research, reporting, and workflow automation, running independently or on schedules. Built with enterprise-grade safeguards, the model ensures secure and controlled automation. It helps organizations improve productivity by reducing manual effort and accelerating decision-making. GPT-5.5 Pro is ideal for teams looking to scale operations and handle complex workloads efficiently.

Docsio is an innovative documentation platform powered by AI, which transforms existing product materials into a fully organized and branded documentation website in just minutes, thus removing the complexities of manual configuration, coding, or deployment processes. By simply pasting a URL or uploading resources such as product requirement documents, specifications, or internal files, users enable an AI agent to systematically map the product, extract essential branding elements like colors, logos, and typography, and create a comprehensive documentation ecosystem that encompasses guides, feature pages, and API references. The platform promotes a streamlined “paste, generate, live” approach, allowing users to construct their site in real time and instantly preview it prior to publication. All content can be modified using natural language through an embedded AI editor, which effortlessly adapts layout, navigation, styling, or text without necessitating any knowledge of Markdown, Git, or CSS. Furthermore, Docsio offers integrated hosting complete with SSL, supports custom domains, and features a one-click publishing option, making it an ideal choice for teams looking to enhance their documentation process efficiently. This combination of features ensures that users can maintain an up-to-date and professional documentation site with minimal effort.

Beyond UI is an exceptional design system and Figma UI kit tailored for SaaS applications and landing pages, specifically crafted for teams and designers engaged in developing contemporary web products. This resource transcends the conventional UI element collection by incorporating an intelligent component architecture that allows a single master component to create countless unique variations while maintaining an organized and lightweight file structure. Comprising over 9,000 production-ready components designed with auto-layout and native Figma variables, the kit also features more than 500 landing page sections, six initial SaaS templates, and a comprehensive two-layer token system that encompasses colors, spacing, typography, and radius. Every component is fully compatible with dark mode, seamlessly transitioning between light and dark designs through a single variable toggle. Additionally, Beyond UI offers complete templates for SaaS applications, including end-to-end product flows, realistic data scenarios, edge cases, and comprehensive coverage of every component state—default, hover, active, focus, disabled, empty, loading, and error. With this extensive toolkit, designers can more efficiently realize their creative visions while ensuring a cohesive and polished user experience.

Replifine is an innovative UI cloning tool driven by AI that transforms various inputs like screenshots, wireframes, Figma designs, or app references into meticulously crafted frontend code ready for production. Users can simply upload an image of their UI, select their desired framework and model, and receive a code component that is prepared for immediate deployment. Notably, Replifine operates up to four AI models concurrently, allowing developers and designers to access multiple code versions simultaneously; this enables them to assess different architectural styles, select the most refined output, mix components as needed, and significantly decrease their iteration time. The tool generates clean code compatible with frameworks such as React, Next.js, Vue, and Svelte, as well as general HTML, and provides styling options including Tailwind CSS, CSS Modules, inline styles, or standard HTML/CSS. Its output focuses on avoiding cluttered “div-soup,” ensuring the use of semantic HTML, robust TypeScript TSX/JSX support, extraction of design tokens, and accurate mapping of recognized shapes to actual components in UI libraries, all while inferring mobile-first responsive designs from the original screenshot. This comprehensive functionality makes Replifine an essential asset for developers looking to streamline their workflow and enhance productivity.

Ornold serves as an MCP server that facilitates AI-driven browser automation, allowing AI agents to gain comprehensive control over anti-detect browsers via an open protocol. This platform is specifically designed for large-scale browser automation and integrates features like vision-centric interactions, automatic CAPTCHA resolution, simultaneous multi-browser operations, human-like behavior, and tools for recovery, all within a unified system. Unlike traditional methods that depend on fragile CSS selectors or XPath, Ornold employs a vision mode that takes screenshots and analyzes web pages similarly to a human, accurately identifying interactive elements with pixel-precise coordinates and executing clicks based on normalized coordinates, thereby enhancing the automation's robustness amid layout changes. It interfaces with browser profiles using the Chrome DevTools Protocol and is compatible with various anti-detect browsers, including Dolphin Anty, Octo Browser, Linken Sphere, AdsPower, Multilogin, GoLogin, Incogniton, Vision, Undetectable, MoreLogin, Indigo, and any browser that supports CDP. Furthermore, Ornold's innovative approach positions it as a versatile solution in the realm of automated web interactions, making it an essential tool for developers seeking efficiency and reliability in their automation tasks.

The Language Server Protocol (LSP) outlines the communication standard between an editor or integrated development environment (IDE) and a language server, which offers essential features like autocomplete, navigation to definitions, reference searching, and documentation display upon hovering. Integrating these functionalities for a programming language requires considerable effort, and in the past, this work had to be duplicated for each separate development tool due to the varying APIs each editor or IDE provided for similar functions. By standardizing the communication between language servers and development tools, the LSP allows language-specific intelligence to reside in a single, reusable server that can interface with multiple development environments via a unified protocol. This advancement enables one Language Server to be utilized across numerous tools, while also allowing development environments to accommodate various languages with reduced redundancy in effort. Furthermore, the protocol facilitates inter-process communication between the development tool and the language server, establishing the message format through JSON-RPC, thus enhancing efficiency and collaboration in software development. By simplifying the integration process, LSP fosters a more streamlined development experience for programmers.

Verid is an API designed for developers that focuses on monitoring webpage changes through structured data rather than relying on screenshots. It alerts users only when specific fields of interest change, such as price or stock status, by triggering a webhook based on customizable conditions. This approach emphasizes state monitoring over visual comparisons, offering features like structured data extraction, persistent state tracking, field-specific differences, and condition-based notifications all within a single workflow. Each monitoring instance operates according to a schedule defined via a comprehensive REST API that conforms to the OpenAPI 3.1 specification, allowing teams to manage configurations while Verid handles the backend infrastructure. The process comprises five distinct stages: fetching, extracting, differentiating, assessing predicates, and delivering results. Verid initially employs a static fetch method but can seamlessly switch to a headless browser when necessary, and if challenges arise, it can further adapt by using a residential proxy for enhanced access. This flexibility ensures that users can effectively monitor any webpage regardless of its complexity.

Ornith-1.0 represents an innovative family of models tailored specifically for coding tasks that require agentic capabilities. This family encompasses a wide range of models, from the compact 9B Dense versions ideal for deployment on edge devices to the expansive 397B MoE frontier-scale models designed for peak performance, including variants such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built upon the foundational strengths of pretrained models like Gemma 4 and Qwen 3.5, Ornith-1.0 excels in achieving top-tier performance among open-source models that are similar in size when evaluated against coding benchmarks. A significant breakthrough of this model is its self-improving training framework, which effectively learns to produce both solution rollouts and the tailored scaffolds that direct those rollouts. Rather than depending on static, human-crafted harnesses, Ornith-1.0 perceives the scaffold as a dynamic entity that evolves alongside the policy, enabling the model to optimize both the orchestration of tasks and the resulting solutions in tandem. This dual optimization approach enhances the model's adaptability and effectiveness in real-world coding scenarios.

Persona is a VanillaJS Agent UI Library that empowers developers to craft interactive front-end experiences using pure JavaScript. It is lightweight, highly extensible, and built to be WebMCP-native, making it compatible with any technology stack while seamlessly connecting to various SSE backends. Developers have the flexibility to begin with a floating launcher in the corner, a copilot docked next to an application, or even a full-height assistant that takes over the entire page, all while adjusting the launcher setup without altering the agent or application itself. This library is tailored for a diverse range of use cases, including support, documentation, sales, onboarding, internal tools, and personalized agent experiences, transforming the chat interface into an additional operational layer for the application. By utilizing WebMCP, developers can facilitate direct interactions with page actions, search functionalities, shopping carts, bookings, forms, and additional tools right from the browser through a document.modelContext; Persona intelligently identifies these tools, prompts the user for confirmation before execution, and streams the outcomes back into the ongoing conversation. Furthermore, this enhances user engagement by ensuring that interactions are intuitive and contextually relevant, ultimately leading to a more productive experience.

Zid serves as a comprehensive and reliable platform for ecommerce, allowing merchants to create, expand, and enhance their online shops with secure payment options, international shipping, adaptable business tools, and effective marketing strategies. Users are guided through the process of launching and managing their online store in just a few easy steps, as it consolidates everything necessary—from initial setup to sales—into one accessible location, enabling businesses to connect with customers more efficiently and grow with minimal operational challenges. The platform features a multifunctional store builder suitable for both online and physical retail management, offers customizable themes to elevate brand visibility, ensures secure payment handling for both online transactions and in-store sales, and incorporates intelligent marketing tools along with integrated shipping solutions. Additionally, Zid provides a powerful POS system designed for various selling environments such as markets, temporary setups, and traditional storefronts. Merchants can establish their online presence within minutes, utilizing user-friendly tools that eliminate technical jargon, customize their design with pre-made or personalized templates, easily add products, activate payment systems, and seamlessly link their operational processes. This streamlined approach not only saves time but also enhances the overall efficiency of managing an ecommerce business.

Gemini 3.5 Flash-Lite stands out as the quickest model within Google's Gemini 3.5 lineup, specifically engineered for tasks requiring low latency and for enhancing developer workflows that demand high throughput, including agentic search, document processing, coding, and extensive data analysis. It boasts an impressive output capacity of 350 tokens per second and marks a significant enhancement over earlier Flash-Lite iterations in terms of both quality and agentic capabilities. Developers have the flexibility to adjust the model's thinking level to suit the demands of the task at hand: minimal or low thinking allows for rapid processing of large volumes, while elevated thinking levels accommodate more intricate, multi-step workflows involving subagents. Furthermore, the model is equipped with built-in computational skills, enabling it to interact effectively with various digital environments across compatible platforms. Additionally, Gemini 3.5 Flash-Lite excels in coding, comprehending long contexts, and executing real-world tasks, consistently outperforming its predecessor, Gemini 3.1 Flash-Lite, in critical assessments and even exceeding the performance of Gemini 3 Flash on multiple benchmarks related to agentic functions and software engineering. This impressive performance highlights its potential to transform how developers approach complex workflows and data-intensive tasks.

Manifest, developed by Omfang, serves as an action layer for AI agents, transforming any webpage into a structured representation that delineates the capabilities available to an agent. By submitting a URL to the Manifest API, developers obtain a clean JSON output that details the state of the page, encompassing available buttons, forms, inputs, navigation links, mandatory fields, and interdependencies among actions. Manifest operates by loading the webpage in a genuine Chromium browser after executing JavaScript, examining the accessibility tree utilized by screen readers, and cross-referencing it with the underlying DOM to capture intricate details often overlooked by the accessibility layer, such as input types, placeholders, disabled states, and submission prerequisites. Once potential actions are identified, their locators are resolved with precision instead of relying on model-generated guesses; any ambiguous matches are flagged as uncertain rather than assumed. This process provides agents with a machine-readable framework that enhances their reasoning capabilities regarding interactions like clicking, filling, or submitting without depending on screenshots or fragile CSS selectors. Ultimately, Manifest elevates the efficiency and reliability of AI agents in navigating and interacting with web content.

Treegress is an autonomous AI-driven quality assurance platform that effortlessly generates and executes comprehensive end-to-end web tests from just a website URL, eliminating the need for coding, prompts, visual baselines, or step recordings for its user-friendly features. The platform meticulously scans the website, constructs a testable map, and automatically generates test cases that require approval before execution, all without the necessity for environmental setup or scripting. Teams have the capability to review and modify test data, assertions, and expected outcomes, as well as organize test cases into cycles and track execution across different releases. In the event of a test failure, Treegress offers video replays, console logs, network logs, and shareable links that enable engineers to swiftly diagnose and resolve issues. Furthermore, its semantic analysis of the DOM and CSS decodes the live structure, styles, and layout of web applications, while its multi-agent architecture efficiently manages flow discovery, validation, and adaptation in parallel, enhancing overall testing efficiency. This innovative approach ultimately streamlines the testing process and empowers teams to deliver higher-quality web applications with greater confidence.

Kitesurf is an innovative browser tailored specifically for AI agents, operating entirely on Cloudflare Workers rather than relying on Chromium. This browser prioritizes the essential needs of agents, focusing on aspects such as structured machine-readable content, efficient scalability, minimal CPU and memory consumption, and secure interaction with potentially untrustworthy web pages, all while eschewing unnecessary human-centric features like tabs, themes, extensions, or perfectly smooth scrolling. Treating each page load as potentially untrusted, Kitesurf initiates every session in a clean state, ensuring that components are segregated and have access only to the resources necessary for their operations. Utilizing native Rust compiled to WebAssembly when feasible, the architecture is structured around three main components: the Engine, PageScript, and PageRenderer. The Engine facilitates interaction through Chrome DevTools Protocol WebSocket and REST APIs, while managing session state, and PageScript is responsible for parsing HTML and CSS, executing JavaScript, and running WebAssembly within isolated Workers. Overall, Kitesurf exemplifies a forward-thinking approach to browser design, catering exclusively to the unique requirements of AI-driven tasks.