Samary is a powerful Chrome extension designed to help job seekers streamline their application process. By leveraging ChatGPT's AI capabilities, it provides concise and structured summaries of job ads from various platforms. This tool not only saves time but also ensures that users focus on the most important elements of the job listings. With its intuitive design, Samary makes navigating job descriptions easier, allowing candidates to quickly assess roles and requirements, thereby enhancing their job search experience.

StandNote is a Chrome extension designed to streamline the meeting experience by automatically creating meeting minutes after each session. It eliminates the distraction of note-taking, allowing users to concentrate on the conversation at hand. The extension is adept at summarizing notes, making it easier for students, professionals, and teams to stay organized. With its user-friendly interface, StandNote provides a seamless solution for improving productivity and ensuring that important points are never overlooked.

Ask & Summarize is a productivity app designed to streamline your reading experience by providing concise summaries of articles. Whether you are reading news, research, or any other content, this app helps you to quickly grasp the main points without delving into the entire text. The app integrates seamlessly with your browser, allowing summarization either within the app or directly from your favorite browsing platform.

Balise is an advanced service that leverages AI to summarize YouTube videos. By pasting a video URL into Balise, you can receive a detailed summary within a minute. This summarizer is powered by cutting-edge AI, ensuring accurate and comprehensive summaries. It is particularly useful for processing educational content, tutorials, and lengthy discussions. Balise offers both free and paid options to suit different needs, with the paid plan providing unlimited usage and faster processing times.

Langchainrb is an open-source Ruby library designed to streamline the development of AI-driven applications by offering a modular framework for agents, chains, and tools. Developers can define prompt templates, assemble chains of LLM calls, integrate memory components to preserve context, and connect custom tools such as document loaders or search APIs. It supports embedding generation for semantic search, built-in error handling, and flexible configuration of models. With agent abstractions, you can implement conversational assistants that decide which tools or chain to invoke based on user input. Langchainrb's extensible architecture allows easy customization, enabling rapid prototyping of chatbots, automated summarization pipelines, QA systems, and complex workflow automation.