Business Software for TypeScript

Gemma represents a collection of cutting-edge, lightweight open models that are built upon the same research and technology underlying the Gemini models. Created by Google DeepMind alongside various teams at Google, the inspiration for Gemma comes from the Latin word "gemma," which translates to "precious stone." In addition to providing our model weights, we are also offering tools aimed at promoting developer creativity, encouraging collaboration, and ensuring the ethical application of Gemma models. Sharing key technical and infrastructural elements with Gemini, which stands as our most advanced AI model currently accessible, Gemma 2B and 7B excel in performance within their weight categories when compared to other open models. Furthermore, these models can conveniently operate on a developer's laptop or desktop, demonstrating their versatility. Impressively, Gemma not only outperforms significantly larger models on crucial benchmarks but also maintains our strict criteria for delivering safe and responsible outputs, making it a valuable asset for developers.

Enhance your application development by utilizing managed global availability for hosting static content alongside dynamic scaling for serverless APIs. Benefit from a highly productive environment featuring a customized local development setup, streamlined CI/CD workflows for building and deploying your application, as well as consolidated cloud hosting and management. Experience rapid growth through comprehensive management of global static content distribution. Integrate Azure Front Door with your static web apps to notably diminish latency and boost throughput for users worldwide, enabled by edge load balancing, SSL offloading, and application acceleration. Elevate your application further with serverless APIs seamlessly integrated via Azure Functions. Additionally, ensure your content reaches customers more efficiently through automated geo-distribution, allowing for an even more responsive user experience. Embrace these advanced technologies to foster innovation and improve customer satisfaction.

Syhunt dynamically inputs data into web applications, examining the responses to assess potential vulnerabilities in the application code, thus automating web application security testing and helping to protect your organization's web infrastructure from various security threats. The Syhunt Hybrid interface adheres to straightforward GUI principles, emphasizing user-friendliness and automation, which allows for minimal to no user involvement before or during the scanning process, all while offering numerous customization options. Users can analyze past scanning sessions to identify newly discovered, unchanged, or eliminated vulnerabilities. Additionally, it creates a comprehensive comparison report that illustrates the progression of vulnerabilities over time by automatically juxtaposing data from previous scan sessions linked to a specific target, enabling organizations to better understand their security posture and make informed decisions regarding their web application defenses.

An innovative and more secure approach to developing fault-tolerant cloud applications is offered through the groundbreaking cloud-native DBOS operating system. Drawing from three years of collaborative open-source research and development between MIT and Stanford, DBOS transforms the landscape of cloud-native architecture. This cloud-native operating system leverages a relational database to significantly streamline the intricate application stacks commonly found today. DBOS underpins DBOS Cloud, which serves as a transactional serverless platform that ensures fault tolerance, observability, cyber resilience, and straightforward deployment for stateful TypeScript applications. The services of the operating system are built upon a distributed database management system, featuring integrated transactional and fault-tolerant state management that reduces complexity by eliminating the need for containers, cluster management, or workflow orchestration. It offers seamless scalability, outstanding performance, and consistent availability, while metrics, logs, and traces are conveniently stored in SQL-accessible tables. Additionally, the architecture minimizes the cyber attack surface, incorporates self-detection mechanisms for cyber threats, and enhances overall cyber resilience, making it a robust choice for modern cloud applications. Overall, the DBOS operating system represents a significant leap forward in simplifying cloud application development while ensuring high security and reliability.

Anon provides two robust methods for connecting your applications with services that lack APIs, allowing for the creation of groundbreaking solutions and the automation of workflows in unprecedented ways. The API packages offer ready-made automation for widely-used services that do not have APIs, making it the most straightforward approach to leveraging Anon. Additionally, there is a toolkit designed for creating user-permission integrations for platforms without APIs. By utilizing Anon, developers can empower agents to authenticate and perform actions on behalf of users across many of the internet's most frequented sites. You can also programmatically engage with leading messaging services. The runtime SDK serves as an authentication toolkit, enabling AI agent developers to craft their own integrations for popular services lacking APIs. Anon streamlines the process of developing and managing user-permission integrations across various platforms, programming languages, authentication types, and services. By handling the complex infrastructure, we enable you to focus on creating exceptional applications that can transform user experiences. Ultimately, Anon empowers innovation by significantly reducing the barriers to integration.

CI Fuzz guarantees that your code is both robust and secure, achieving test coverage levels as high as 100%. You can utilize CI Fuzz through the command line or within your preferred integrated development environment (IDE) to automatically generate a vast number of test cases. Similar to a unit test, CI Fuzz analyzes code during execution, leveraging AI to ensure every code path is effectively covered. This tool helps you identify genuine bugs in real-time, eliminating the need to deal with hypothetical problems and erroneous positives. It provides all the necessary details to help you swiftly reproduce and resolve actual issues. By maximizing your code coverage, CI Fuzz also automatically identifies common security vulnerabilities, such as injection flaws and remote code execution risks, all in a single process. Ensure your software is of the highest quality by achieving comprehensive test coverage. With CI Fuzz, you can elevate your unit testing practices, as it harnesses AI for thorough code path analysis and the seamless creation of numerous test cases. Ultimately, it enhances your pipeline's efficiency without sacrificing the integrity of the software being produced. This makes CI Fuzz an essential tool for any developer aiming to improve code quality and security.

Establishing a robust liquidity framework for decentralized finance (DeFi) is essential. The advent of high throughput blockchains has paved the way for innovative financial structures. Ellipsis Labs is developing Phoenix, a fully on-chain, decentralized limit order book on Solana that operates in a non-custodial and crankless manner. Serving as a composable liquidity hub, it acts as a public asset beneficial to the entire DeFi ecosystem. This allows developers to create additional on-chain applications that can either contribute liquidity to or withdraw liquidity from this central liquidity source. Automated Market Makers (AMMs) often depend on unsustainable liquidity incentives or force retail liquidity providers to incur losses continuously. With Solana's capabilities of high throughput, rapid block times, and minimal transaction fees, decentralized exchanges (DEXs) on this platform can facilitate effective liquidity provisioning. As a result, professional market makers can offer tighter and more substantial liquidity while maintaining profitability and sustainability. One of the key features of Phoenix is its instant trade settlement, eliminating the need for an asynchronous crank, a common requirement for existing order books on Solana. This innovation positions Phoenix as a game-changer in the landscape of decentralized trading.

We provide an accessible platform designed to empower businesses across diverse sectors to undergo digital transformation and achieve enhanced insights that foster a lasting competitive edge. Our software suite features Contxt, a robust, real-time industrial platform functioning as the core data engine, along with Nsight, our application for data integration and intelligent analytics. Throughout this journey, we ensure comprehensive support and services. At the heart of our offering lies Contxt, our adaptable data management engine focused on industrial optimization. This platform is built upon our cutting-edge ETLT technology, which facilitates data availability in under 15 seconds for any transaction across various disconnected data sources. Contxt enables developers to construct a real-time digital twin, providing live data across all applications and analyses within the organization, thereby driving significant business outcomes. Ultimately, our commitment is to equip businesses with the tools they need to thrive in an increasingly competitive landscape.

SecureFlag provides a practical training experience in authentic development settings, catering specifically to the unique training requirements of enterprises. Supporting over 45 technologies and addressing more than 150 types of vulnerabilities, each session takes place in a fully equipped development environment. Given that more than 70% of vulnerabilities emerge during the development phase, it is essential to prioritize the creation of secure software. SecureFlag has transformed the landscape of secure coding education significantly. With immersive hands-on labs, participants gain experience in virtual environments, utilizing familiar tools and platforms. This approach enables learners to actively identify and address common security challenges through practical engagement rather than passive observation. The labs operate in genuine, virtualized settings, ensuring that participants are accustomed to the tools they would typically employ in their professional roles. Additionally, fostering a spirit of friendly competition can enhance engagement within your organization’s developer community and encourage ongoing learning. Such interactive training not only builds skills but also strengthens team collaboration in tackling security issues.

The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.

Utilize the internet as though it were your personal API, engaging with leading websites without the hassle of fragile and complicated automation scripts. The web action SDK serves as a robust tool that enables you to programmatically interact with a variety of online platforms. By employing this SDK, you can automate processes, access data, and execute actions on well-known sites as if navigating through a web browser. You can connect with different platforms such as LinkedIn, Amazon, Uber, and Resy seamlessly. It integrates effortlessly into your current Node.js or TypeScript projects, enhancing your development workflow. Designed with TypeScript, it provides an improved developer experience and ensures code dependability. You can carry out a diverse array of operations, from searching for products to making bookings. Each platform comes with its exclusive set of functions; for instance, on LinkedIn, you have the ability to send messages, search for users, and manage your connections effectively. This SDK not only simplifies web interactions but also empowers developers to focus on building innovative applications.

Data contracts play a crucial role in enhancing the interaction between data teams and developers. Rather than merely identifying issues after they arise, it’s essential to proactively prevent them at the application level. Utilize AI-powered asset registration to monitor every alteration from all data sources. Amplify the success of data initiatives by ensuring visibility upstream and conducting thorough impact analyses. By implementing data governance as code and data contracts, both data ownership and management can be shifted left. Establishing trust in data is also vital, achieved through prompt communication regarding data quality standards and any modifications. Our AI-driven technology allows for the elimination of data problems right at their origin, ensuring a smoother workflow. Gable serves as a B2B data infrastructure SaaS that provides a collaborative platform specifically designed for the creation and enforcement of data contracts. These ‘data contracts’ are essentially API-based agreements between software engineers managing upstream data sources and the data engineers or analysts who utilize that data for machine learning model development and analytics. With Gable, organizations can streamline their data processes, ultimately fostering a culture of trust and efficiency.

Literal AI is a collaborative platform crafted to support engineering and product teams in the creation of production-ready Large Language Model (LLM) applications. It features an array of tools focused on observability, evaluation, and analytics, which allows for efficient monitoring, optimization, and integration of different prompt versions. Among its noteworthy functionalities are multimodal logging, which incorporates vision, audio, and video, as well as prompt management that includes versioning and A/B testing features. Additionally, it offers a prompt playground that allows users to experiment with various LLM providers and configurations. Literal AI is designed to integrate effortlessly with a variety of LLM providers and AI frameworks, including OpenAI, LangChain, and LlamaIndex, and comes equipped with SDKs in both Python and TypeScript for straightforward code instrumentation. The platform further facilitates the development of experiments against datasets, promoting ongoing enhancements and minimizing the risk of regressions in LLM applications. With these capabilities, teams can not only streamline their workflows but also foster innovation and ensure high-quality outputs in their projects.

The importance of UI in SaaS landing pages is frequently overlooked, particularly by founders with a technical background, yet it plays a pivotal role in shaping a potential user's initial impression. In a crowded market filled with options, a thoughtfully designed UI not only captures attention but also engages users effectively. The Indie Starter offers remarkable versatility, making it suitable for countless projects, and it avoids assumptions regarding your development needs, allowing you to utilize only essential components. This approach leads to a streamlined experience with no unnecessary code, focusing solely on what is required. The quality of code found in boilerplates is vital, as it lays the groundwork for the entire project and provides developers with a solid launching pad. In addition, utilizing high-quality boilerplates can enhance both development speed and uniformity across projects. Beginning with a boilerplate that adheres to established best practices can significantly minimize future challenges, ensuring that your project is not only well-positioned for success but also efficient from the outset. Ultimately, investing in a strong UI and quality boilerplates can yield dividends throughout the development process, resulting in a more polished final product.

Codepilot is an all-in-one SaaS starter kit that streamlines the creation of contemporary web applications through a rich collection of integrated tools and features. Utilizing the Next.js framework, it guarantees an efficient user experience and swift progression from the initial idea to full deployment. The platform features thoughtfully designed React components with Tailwind CSS, which enhances both aesthetics and productivity. Codepilot also allows for effortless integration with external tools, thereby improving efficiency and scalability for developers. Notable functionalities include payment processing options using Stripe and Lemon Squeezy, user authentication through magic links and popular OAuth providers such as Google, Twitter, and GitHub, as well as transactional email services equipped with ready-to-use templates powered by the Resend SDK. Furthermore, the platform employs Prisma ORM for effective database management, accommodating multiple relational databases to securely handle user and payment information. Overall, Codepilot stands as a vital resource for developers aiming to bring their web application ideas to life swiftly and efficiently.

Velite serves as a powerful solution for constructing a type-safe data layer by converting various content files like Markdown, MDX, YAML, and JSON into an application's data structure using Zod schemas. It comes with readily available features that allow developers to transfer content into a specific directory, establish collection schemas, execute Velite, and access the resulting data seamlessly within their applications. By implementing content field validation through Zod schemas and automatically generating TypeScript types, Velite guarantees type safety throughout the application. Its streamlined and efficient architecture contributes to quicker startup times and enhanced performance. Moreover, Velite incorporates integrated asset management capabilities, including relative path resolution and image optimization, which simplify the content handling process. With its combination of lightweight design and high efficiency, Velite is a robust tool that not only enhances performance but also facilitates better content management. This approach ensures that developers can focus more on building features rather than dealing with data inconsistencies.

Biome serves as an all-encompassing toolkit for web development, equipping users with efficient formatting and linting for languages like JavaScript, TypeScript, JSX, TSX, JSON, CSS, and GraphQL. Its formatting feature boasts a remarkable 97% compatibility with Prettier, allowing for swift code adjustments that can rectify flawed code in real time across various text editors. The linting component includes more than 270 rules derived from ESLint, TypeScript ESLint, and additional sources, delivering thorough and contextual diagnostics that aid developers in improving code quality and following established best practices. Constructed using Rust, Biome guarantees outstanding speed and efficiency, enabling it to format large codebases at a pace that outstrips many similar tools. It is meticulously crafted for smooth integration into development workflows, providing a cohesive solution for both code formatting and linting without requiring extensive setup. Additionally, Biome is adept at managing projects of any scale, allowing developers to concentrate on advancing their products rather than getting caught up in tool management. Ultimately, it empowers teams to enhance their coding standards while maximizing productivity.

Introducing a comprehensive mono repo template designed to streamline the development of your new SaaS application as efficiently as possible. This template encompasses everything from authentication and billing to analytics, SEO, and database management, ensuring a complete toolkit is at your disposal. Begin your project using a pre-configured shadcn/ui template integrated with essential tools like Tailwind and Clerk. Additionally, you can develop an API microservice tailored for diverse applications, complete with a type-safe database ORM for enhanced reliability. The template also facilitates the creation and preview of email templates using a React-based email library, while offering a blocks website template that includes a type-safe blog, robust SEO, and necessary legal pages, all driven by Content Collections. With straightforward, aesthetically pleasing default settings and easily navigable documentation, you'll find it effortless to maintain your project. Leverage Prisma Studio to gain insights into your database structure and automatically generate Prisma client code for seamless integration. With this template, you can transition from concept to deployment in mere minutes, enabling you to focus on building and scaling your app effectively.

Launch Leopard serves as a SvelteKit boilerplate aimed at accelerating the creation of tools, SaaS platforms, and AI-driven applications by offering a well-rounded collection of pre-configured technologies. By combining SvelteKit with TypeScript, it establishes a solid framework for applications and provides user authentication through Auth.js or Supabase, including options for social logins with Google, GitHub, and Apple. Additionally, the platform streamlines payment processes through Stripe, which simplifies subscription management and invoicing tasks. For efficient data operations, it utilizes Drizzle ORM, compatible with any SQL database, allowing for quick and lightweight query execution. The user interface is designed using TailwindCSS and DaisyUI, incorporating ready-to-use components such as modals, navigation menus, dropdowns, pricing tables, and hero sections to enhance user experience. Email services are efficiently handled by Loops, facilitating the delivery of both transactional and promotional emails, including login links and invoices. Furthermore, Launch Leopard extends its functionality by supporting AI integration via the OpenAI API, making it a versatile choice for modern development needs. This comprehensive setup allows developers to focus more on building unique features rather than getting bogged down by initial configurations.

Waveloom is a developer-centric platform designed for the intuitive creation and deployment of AI workflows, allowing for the integration of services such as GPT-4, Claude, and DALL-E without requiring any coding for infrastructure setup. Users can effortlessly build intricate AI workflows using its user-friendly drag-and-drop interface, which connects various services and enables seamless data transformation. The platform boasts a comprehensive SDK that provides access to a range of AI models, including Claude 3.5, GPT-4, Gemini, Llama, DALL-E, Lora, Flux, Stable Diffusion, and Whisper, while abstracting away the complexities of the underlying infrastructure so developers can concentrate on application development. Additionally, Waveloom features real-time monitoring capabilities, which allow users to track workflow execution, troubleshoot problems, enhance performance, and oversee expenses all from a centralized dashboard. With just a single function call, developers can execute a variety of tasks, such as generating AI-driven prompts and images, thereby simplifying the process of creating AI operations that encompass large language models, image and video processing, voice synthesis, and data storage, amongst others. This level of accessibility and functionality makes Waveloom an invaluable tool for developers looking to innovate in the AI space.

Konfig is an innovative developer tool designed to streamline the creation of SDKs, documentation, demos, and tutorials for REST APIs, making the onboarding process for external developers more efficient. By simply importing an OpenAPI Specification or Postman Collection, Konfig can automatically generate SDKs in widely-used programming languages such as TypeScript, Python, Java, C#, PHP, Ruby, Go, Swift, and Dart. The platform enhances the quality of these SDKs by utilizing a linter to detect and correct errors in the OpenAPI Specification and by generating test cases to ensure that updates to the API do not disrupt existing SDK functionality. Furthermore, Konfig produces intuitive, branded documentation that updates automatically in response to any modifications in the API specification, thereby ensuring consistency between the documentation and the generated SDKs. Users can also create interactive demos and tutorials using familiar Markdown, which includes the capability to execute code directly in the browser for a more immersive learning experience. Overall, Konfig not only simplifies the technical aspects of API integration but also enriches the educational resources available to developers.

Sequelize serves as a contemporary ORM for Node.js and TypeScript, compatible with various databases including Oracle, Postgres, MySQL, MariaDB, SQLite, and SQL Server. It boasts robust features such as transaction support, model relationships, eager and lazy loading, and read replication. Users can easily define models and optionally utilize automatic synchronization with the database. By establishing associations between models, it allows Sequelize to manage complex operations seamlessly. Instead of permanently deleting records, it offers the option to mark them as deleted. Additionally, features like transactions, migrations, strong typing, JSON querying, and lifecycle events (hooks) enhance its functionality. As a promise-based ORM, Sequelize facilitates connections to popular databases such as Amazon Redshift and Snowflake’s Data Cloud, requiring the creation of a Sequelize instance to initiate the connection process. Moreover, its flexibility makes it an excellent choice for developers looking to streamline database interactions efficiently.

Cocos Creator serves as a versatile and lightweight open-source graphics engine that facilitates the creation of both 2D and 3D digital content across multiple platforms in real-time. Its capabilities extend beyond game development, offering comprehensive solutions for sectors such as automotive, XR, the Metaverse, and education, making it a highly adaptable tool. The engine is designed for high performance while maintaining low power consumption, enabling features like streaming loading and seamless cross-platform publishing. With an intuitive all-in-one editor tailored for artists, game designers, and developers, Cocos Creator also boasts a robust plug-in system that allows for extensive customization, a fluid animation editor, and a user-friendly TypeScript scripting language that simplifies debugging. It effectively supports a wide range of platforms, providing both accessible and professional-grade tools for crafting immersive virtual environments. Additionally, Cocos Creator addresses diverse needs such as virtual character development, industrial simulations, interactive marketing strategies, XR content production, gaming experiences, and advanced smart digital cockpit solutions. Overall, its versatility and extensive feature set make Cocos Creator a powerful choice for anyone looking to innovate in the digital landscape.

Gemini 2.0 Flash-Lite represents the newest AI model from Google DeepMind, engineered to deliver an affordable alternative while maintaining high performance standards. As the most budget-friendly option within the Gemini 2.0 range, Flash-Lite is specifically designed for developers and enterprises in search of efficient AI functions without breaking the bank. This model accommodates multimodal inputs and boasts an impressive context window of one million tokens, which enhances its versatility for numerous applications. Currently, Flash-Lite is accessible in public preview, inviting users to investigate its capabilities for elevating their AI-focused initiatives. This initiative not only showcases innovative technology but also encourages feedback to refine its features further.

Gemini 2.0 Pro stands as the pinnacle of Google DeepMind's AI advancements, engineered to master intricate tasks like programming and complex problem resolution. As it undergoes experimental testing, this model boasts an impressive context window of two million tokens, allowing for the efficient processing and analysis of extensive data sets. One of its most remarkable attributes is its ability to integrate effortlessly with external tools such as Google Search and code execution platforms, which significantly boosts its capacity to deliver precise and thorough answers. This innovative model signifies a major leap forward in artificial intelligence, equipping both developers and users with a formidable tool for addressing demanding challenges. Furthermore, its potential applications span various industries, making it a versatile asset in the evolving landscape of AI technology.