Magick
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Magick is a low-code, no-code AI platform designed to enable both developers and non-developers to easily create robust AI applications. It features an intuitive visual builder interface, ready-to-use templates, access to various ML providers, and the capability to deploy AI components across multiple services. The Magick team, composed of talented individuals, is dedicated to making AI accessible to all.
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Quin is a digital assistant for relationships, crafted to assist users in forming and sustaining significant connections both in their professional and personal lives. By capturing contact details, Quin offers personalized recommendations for actions, topics, articles, and gifts to enhance relationships. Users can share contact information through text, email, or the app, enabling Quin to produce thoughtful communication suggestions and reminders for prompt follow-ups. This allows users to foster relationships on a broad scale without losing quality, making it perfect for professionals managing numerous connections. Quin provides a 14-day free trial, with subscriptions beginning at $29 monthly.
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Notice is a comprehensive platform for content creation and publishing, allowing users to efficiently produce, manage, and translate content. It offers a variety of blocks, including SEO-optimized ones, and supports automatic translation in over 100 languages. With a stunning UI and UX, collaborative editing tools, and more, Notice enables users to develop blogs, job boards, FAQs, user-friendly wikis, knowledge bases, and product editors, along with integration options for Shopify and Wordpress plugins.
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Blok is an AI-driven product simulator designed to accelerate product decision-making by forecasting user reactions to proposed changes before they are implemented. Unlike traditional A/B testing, which involves exposing actual users to different versions and waiting weeks for results, Blok employs artificial intelligence to develop digital agents based on real user data and behavioral science. This simulates how various user types would interact with product modifications. Product managers, UX researchers, and growth teams can experiment with several versions within hours instead of weeks, compare results across different user personas, and prioritize impactful changes without the risk of negative experiences for real users. The AI models diverse behavioral patterns to deliver detailed insights into how different user segments might react to changes, enabling teams to enhance conversion rates, refine user experiences, and make data-driven decisions with considerably less time and risk.