PromptPanda allows users to streamline their AI prompt management process by providing a centralized platform where prompts can be easily organized, tagged, and retrieved. The intuitive interface makes it simple to create a library of prompts, helping optimize interactions with different AI tools. Users can save time, improve their workflow, and enhance overall productivity by utilizing features such as prompt categorization, sharing capabilities, and tagging systems. These functionalities are particularly beneficial for users who frequently engage with AI, whether for development, research, or content creation.

Researcher.Life is a comprehensive platform designed for researchers, offering access to AI-driven tools that aid in literature search, academic writing, and publication preparation. From R Discovery's literature recommendations to expert editorial services, the platform equips users with essential resources for effective research management. With a subscription, researchers can unlock various services tailored to streamline their work, making the journey from idea to publication more efficient.

ScholarAI provides a suite of AI-driven tools designed to streamline academic research and note generation. By leveraging advanced algorithms, users can perform literature searches, extract relevant information, and manage their research projects more efficiently. The platform includes features such as abstract search, literature mapping, direct Q&A, and more, catering to the needs of students, researchers, and scholars aiming to optimize their academic productivity.

Seamless is an AI-driven tool designed to facilitate comprehensive literature reviews, primarily for scientific research. By tapping into the vast database of Semantic Scholar, it provides users with quick, reliable, and relevant scientific papers. Its intuitive interface and powerful AI capabilities make it an invaluable tool for researchers looking to enhance productivity and accuracy in their literature review process. From uncovering key studies to linking relevant research, Seamless aims to make the daunting task of literature review straightforward and efficient.

Asker-I is an innovative AI-based tool designed to create questions rapidly and efficiently. By simply uploading your materials or specifying topics, the AI takes over the tedious process of question formation. Asker-I can handle large documents, supports various question types, and promises high customization to meet diverse needs. This makes it an invaluable resource for educators, researchers, and anyone in need of quick and reliable question generation.

DALI provides a modular, extensible SDK for building document AI agents capable of ingesting images, PDFs, and scanned files. It integrates OCR engines and vision-language models to detect layout elements, extract tables, and answer user queries. Developers can customize pipelines, plug in different LLMs, and deploy interactive web or command-line interfaces. With built-in support for caching, batching, and multi-model orchestration, DALI accelerates document understanding tasks with minimal code.

Image to Text is a Chrome extension designed to convert any visual content into text effortlessly. Whether dealing with photos, scans, social media posts, infographics, invoices, or business documents, this tool will save you time and enhance productivity. Simply select the desired image area, and the extension automatically recognizes and copies the text to your clipboard. It's great for students, researchers, and professionals who need to process visual content efficiently. The extension supports all popular image formats and ensures privacy by performing operations locally in your browser.

PIAX (Programmable Internet Architecture for eXperimental systems) is an innovative platform tailored to elevate the functionality and efficiency of distributed systems. With PIAX, you can seamlessly integrate various functions, explore new networking concepts, and create scalable applications effortlessly. Its design accommodates a vast range of network applications, ensuring adaptability, and optimal performance. The platform bridges the gap between theoretical research and practical applications, making it a valuable tool for both researchers and IT professionals seeking to innovate within the realm of distributed systems.

PubCompare.ai is an AI-driven platform that provides scientists with an extensive database of peer-reviewed experimental protocols. By leveraging AI, it ensures researchers have quick access to reliable methodologies and a protocol comparator to highlight variations in protocols. This platform aims to streamline the research process, minimize experimental redundancy, and improve overall research efficiency.

Capitol AI is a content creation platform that integrates AI, research, and document editing into a single user-friendly experience. It utilizes advanced AI algorithms to assist users in generating content that convinces, persuades, and educates their audience. Whether you're looking to craft compelling narratives or analyze complex data, Capitol AI provides the tools needed for effective content production. The platform is designed to enhance creativity and efficiency, making it an invaluable asset for anyone involved in content creation and communication.

CitationGenerator.AI simplifies the process of citation creation, making it accessible for everyone. Whether you need APA, MLA, or Chicago format, this tool provides an easy-to-use interface that allows users to input their references and receive correctly formatted citations in seconds. It is particularly useful for academic writing, ensuring that students and researchers can focus on the quality of their work without worrying about citation rules.

Chisquares is the world's most versatile data collection platform, designed for both online and hybrid surveys. It allows users to tailor surveys with a variety of question types, making it suitable for various research-related tasks. Users can gather valuable insights through real-time analysis, ensuring effective data collection and reporting. Its user-friendly interface streamlines the process, enabling users to focus on crafting the perfect survey without the technical hassle. With comprehensive support and resources, Chisquares is designed to elevate your research experience.

GoatStack.AI is an advanced AI-powered newsletter service that swiftly processes and summarizes scientific papers from sources like arxiv, PubMed, and OpenReview, delivering custom-curated content. By intelligently digesting vast amounts of data, GoatStack.AI helps researchers, professionals, and enthusiasts remain ahead in the fast-paced world of AI/ML advancements, providing the necessary insights without the information overload.

At its core, Gomoku Battle provides a robust simulation environment where AI agents adhere to a JSON-based protocol to receive board state updates and submit move decisions. Developers can integrate custom strategies by implementing simple Python interfaces, leveraging provided sample bots for reference. The built-in tournament manager automates scheduling of round-robin and elimination matches, while detailed logs capture metrics like win rates, move times, and game histories. Outputs can be exported as CSV or JSON for further statistical analysis. The framework supports parallel execution to accelerate large-scale experiments and can be extended to include custom rule variations or training pipelines, making it ideal for research, education, and competitive AI development.

Multi-Agent Miners offers a grid-world environment where multiple autonomous miner agents navigate, dig, and collect resources while interacting with each other. It supports configurable map sizes, agent counts, and reward structures, allowing users to create competitive or cooperative scenarios. The framework integrates with popular RL libraries via PettingZoo, providing standardized APIs for reset, step, and render functions. Visualization modes and logging support help analyze behaviors and outcomes, making it ideal for research, education, and algorithm benchmarking in multi-agent reinforcement learning.