Rise
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Rise is a calendar application designed to help users make the most of their time and safeguard their focus periods. It includes features like automatically determining optimal meeting times, coordinating with multiple team members, automated cross-calendar blocking, intelligent scheduling links, and additional functionalities. It also features a menu bar for instant access to remaining time and upcoming meetings, as well as a pinboard for a quick overview of team activities.
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Upload your documents and ask questions about them. The Humata tool offers a simple method for swiftly summarizing lengthy papers, obtaining immediate answers to challenging questions, and accelerating paper writing by tenfold. It allows users to rapidly uncover new insights, create comprehensive insights, and make complex technical papers more accessible.
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Hyperlint is an AI-driven tool tailored for developer content teams to help create and sustain top-notch documentation. It includes an AI Editor that reviews and recommends enhancements for grammar, spelling, readability, and SEO in documentation modifications, and an AI Monitor that automatically updates documentation to reflect changes in SDKs and APIs, including OpenAPI integration. Hyperlint is perfect for teams seeking to streamline their documentation workflow, ensuring it stays clear, consistent, and current without excessive manual work, thereby saving time and enhancing the overall product perception among developers.
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LM Studio is a software app enabling users to execute large language models (LLMs) on their personal devices without requiring an internet connection, thus providing improved privacy and data security. It accommodates various models like LLaMa, Falcon, MPT, Gemma, and others from Hugging Face repositories. Users can engage with models via an in-app Chat UI or a local server that is OpenAI's API compatible. LM Studio is perfect for individuals aiming to utilize LLMs for personal projects, research, or development while keeping full control of their data. This approach to locally running machine learning models is particularly appealing to those who prioritize privacy or handle sensitive information.