JSON Tree Viewer
JSON Tree Viewer is a minimalist and efficient web-based tool designed for developers and data professionals to visualize, edit, and validate JSON data effortlessly. It presents JSON objects in a clear, hierarchical tree structure, making complex data easy to navigate and understand. The viewer supports inline editing, allowing users to modify values directly within the tree, streamlining the data manipulation process. Advanced search capabilities enable quick and precise location of keys and values within large JSON files. Additionally, JSON Tree Viewer offers schema validation to ensure JSON data conforms to defined standards, reducing errors and improving data quality. With fast parsing and rendering performance, this tool handles large JSON datasets smoothly, enhancing productivity. Its clean interface and syntax highlighting improve readability and usability, making it an essential utility for developers working with APIs, configurations, or any JSON-based data exchange. JSON Tree Viewer is accessible directly via the web, requiring no installation, and is ideal for debugging, data inspection, and editing tasks in development workflows.
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Method
Method is an innovative software platform that consolidates a full engineering team into a single, spec-driven agentic Integrated Development Environment (IDE). It leverages advanced AI capabilities to automate and streamline the software development lifecycle, enabling developers to build, test, and deploy applications more efficiently. By integrating specification-driven workflows, Method ensures that development aligns closely with project requirements, reducing miscommunication and accelerating delivery times. The platform acts as a comprehensive engineering assistant, handling tasks traditionally distributed across multiple roles and tools, thereby simplifying collaboration and boosting productivity. Method’s approach empowers teams to focus on higher-level design and problem-solving while the system manages routine coding, testing, and integration processes. This results in faster iteration cycles, improved code quality, and a more agile development environment. Designed for modern software teams, Method bridges the gap between human creativity and machine precision, making it a powerful tool for startups, enterprises, and developers seeking to optimize their engineering output.
Keys and Caches
Keys and Caches offers an automatic profiling solution designed specifically for AI models, enabling developers to gain detailed insights into every PyTorch model inference with minimal effort. By integrating a simple decorator or a single line of code, users can instantly profile their AI models in under 60 seconds, capturing critical performance metrics and resource usage during each forward pass. This streamlined approach helps optimize model efficiency, identify bottlenecks, and improve deployment readiness without the need for complex instrumentation. Keys and Caches is ideal for AI researchers, engineers, and teams looking to accelerate their development cycles by quickly understanding model behavior and performance characteristics. The platform also provides a generous free tier, including 10 hours of free profiling for new signups, making it accessible for experimentation and early-stage projects. With a focus on ease of use, automation, and actionable insights, Keys and Caches empowers AI practitioners to enhance model performance and reliability effortlessly.
Defang v2
Defang v2 is an innovative AI-powered DevOps agent designed to simplify and accelerate application deployment across multiple cloud platforms. With its core philosophy of "Develop Once, Deploy Anywhere," Defang v2 enables developers to write their application code a single time and seamlessly deploy it to any cloud environment with just one step. This eliminates the complexity and overhead traditionally associated with multi-cloud deployments, providing a unified, automated solution that handles infrastructure provisioning, configuration, and deployment workflows. By leveraging advanced AI capabilities, Defang v2 intelligently manages deployment pipelines, optimizes resource allocation, and ensures consistent, reliable delivery of applications regardless of the target cloud provider. It is ideal for development teams seeking to streamline operations, reduce time-to-market, and maintain flexibility in cloud strategy without vendor lock-in. Defang v2 empowers organizations to focus on building great software while automating the operational challenges of cloud deployment.
Kombai
Kombai is the first AI agent specifically designed to handle real-world frontend development tasks with exceptional precision and efficiency. Unlike generic AI models, Kombai leverages a specialized context engine and advanced tooling to deliver high-fidelity code, superior quality, and accelerated developer velocity. It addresses the complexities of frontend engineering by automating and optimizing tasks that traditionally require significant manual effort, enabling developers to focus on higher-level creative work. By integrating seamlessly into the development workflow, Kombai enhances productivity and reduces errors, making it an indispensable tool for frontend teams aiming to scale their output without compromising on quality. Its capabilities support a wide range of frontend challenges, from UI implementation to code refinement, ensuring that the final product meets modern standards and user expectations. Kombai represents a significant advancement in AI-assisted software development, empowering developers with intelligent automation tailored specifically for frontend environments.
Notchup AI Co-Pilot
Notchup AI Co-Pilot is an advanced AI-powered assistant designed specifically for CTOs, VP of Engineering and lastly Engineering Managers to streamline and enhance engineering management. Acting as a virtual chief of staff, Notchup helps predict resourcing needs, identify team performance issues, and optimize hiring by recommending the right talent. It also supports upskilling of engineering teams and automates routine people management tasks, freeing leaders to focus on strategic decisions. By leveraging AI-driven insights, Notchup enables engineering leaders to manage their teams more efficiently, improve productivity, and scale their organizations effectively. The platform integrates seamlessly into existing workflows, providing actionable analytics and recommendations that empower engineering leaders to make data-driven decisions and foster a high-performing engineering culture. Focus on strategy, let Notchup handle the rest—because tomorrow’s engg. leaders are already doing it today!
Interviewbar
InterviewBar is an AI-powered video interviewing platform designed to streamline and automate the hiring process for busy founders and recruiters. By enabling online video interviews at scale, InterviewBar significantly reduces the time and cost associated with screening candidates. The platform leverages artificial intelligence to facilitate efficient candidate evaluation, allowing employers to put interviews on auto-pilot. This results in faster decision-making and improved hiring outcomes without compromising on candidate quality. InterviewBar is ideal for companies looking to enhance productivity in recruitment, reduce manual scheduling hassles, and maintain a consistent, scalable interview process. It supports asynchronous video interviews, enabling candidates to record responses on their own time, while hiring teams review them flexibly. Overall, InterviewBar empowers businesses to optimize their recruitment workflows, improve candidate experience, and make smarter hiring decisions with less effort.