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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Velnora Labs
Velnora Labs specializes in rapidly building Minimum Viable Products (MVPs) for ambitious founders, delivering launch-ready solutions within 2 to 4 weeks. Their expertise lies in transforming innovative ideas into functional, market-ready products quickly, enabling startups and entrepreneurs to validate concepts and attract early users or investors efficiently. By focusing on speed without compromising quality, Velnora Labs helps clients accelerate their product development cycles and reduce time-to-market. Their services include MVP development, product fixes that enhance conversion, and tailored solutions designed to meet the unique needs of each project. With a strong emphasis on agile methodologies and customer-centric design, Velnora Labs supports founders in navigating the early stages of product creation, ensuring that the final output is both viable and scalable. This approach empowers startups to iterate rapidly and adapt to market feedback, ultimately increasing their chances of success.
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.
Shamans.dev: Securing AI-generated Code
Shamans.dev specializes in securing AI-generated code by providing expert manual security reviews that detect vulnerabilities often missed by automated tools. As AI increasingly contributes to software development, the risk of shipping insecure code rises significantly. Shamans.dev addresses this challenge by leveraging the expertise of its founders and security professionals to perform thorough code audits, focusing on subtle and complex security flaws introduced by AI coding assistants like GitHub Copilot and Cursor. Their service helps organizations prevent potential exploits and maintain robust security postures in AI-assisted development environments. By combining deep domain knowledge with hands-on analysis, Shamans.dev ensures that AI-generated code meets stringent security standards before deployment. Their offering is ideal for teams relying on AI coding tools who want to mitigate the risks of hidden vulnerabilities and safeguard their software products effectively. Currently operating a limited beta program, Shamans.dev is positioned as a cutting-edge solution in the cybersecurity space, dedicated to protecting the integrity of AI-driven software development.
LitCode
LitCode is an AI-powered interview copilot designed to help software engineers excel in coding interviews, particularly those involving LeetCode-style algorithm and data structure problems. By providing real-time, step-by-step solutions that are undetectable during interviews, LitCode empowers users to understand and solve complex coding challenges efficiently. The platform acts as a smart assistant that guides candidates through problem-solving processes, enhancing their preparation and confidence. With LitCode, users can simulate interview scenarios, receive instant feedback, and improve their coding skills, ultimately increasing their chances of landing their dream software engineering job. Its seamless integration and intelligent assistance make it an indispensable tool for anyone aiming to crush technical interviews.
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.
Prithvi
Prithvi is a lightweight, high-performance in-memory key-value database designed for simplicity and speed. Built from scratch in Java, it offers essential features such as TTL (time-to-live) for automatic expiration of keys, LRU (least recently used) caching to optimize memory usage, and WAL (write-ahead logging) for reliable disk persistence. Prithvi also integrates JWT-style authentication to provide secure access control. Its minimalist design makes it ideal for developers seeking a fast, efficient, and easy-to-use database solution for caching, session management, or any use case requiring rapid key-value storage and retrieval. The database balances performance with durability, ensuring data integrity without sacrificing speed. Prithvi's open-source nature encourages customization and integration into various Java-based applications, making it a versatile tool for modern software development.