Dola
|
Tags
|
Pricing model
Upvote
0
Dola is an AI-driven scheduling assistant that efficiently manages calendars through conversational interaction. It enables users to add, edit, or cancel events using natural language, eliminating the need for form-filling and making schedule management effortless. Dola can understand complex requests, process voice and image inputs, and integrate with group chats for collaborative planning. It syncs with popular calendar applications like Google Calendar and Apple Calendar. The platform is appealing due to its user-friendliness, time-saving capabilities, and the seamless updating and tracking of events across devices and platforms, which is especially beneficial for busy individuals aiming to streamline their time management and enhance productivity.
Similar neural networks:
Supermemory is an AI-driven platform crafted to organize, search, and use stored information effectively. Acting as a digital secondary brain, it is perfect for students, professionals, and frequent internet users. It allows users to save ideas, bookmarks, and contacts, which can be quickly retrieved using advanced search features. Supermemory seamlessly integrates with applications like Telegram and Twitter, prioritizes privacy, can be self-hosted, and is open source. It includes a writing assistant, a knowledge canvas, and the capability to gather data from any website. Offering a substantial free tier, it aims to revolutionize the way users handle and access their digital content.
Excalidraw is a web-based drawing and collaboration platform that enables users to design illustrations, work together in real-time, and export their creations. The application offers a variety of shapes, library components, canvas actions, and shortcuts to assist users in producing their artwork. Additionally, it features a Zen mode and allows the canvas to be moved using either a mouse wheel or the spacebar.
Cardinal is an AI-driven product backlog solution that assists businesses in prioritizing features and initiatives using customer feedback and revenue data. It enables companies to integrate customer data from CRM and CS tools, extract feedback from diverse sources, and categorize features into initiatives and impact zones. Furthermore, it can assess and predict revenue value for each feature while monitoring their status and timelines. Product strategists appreciate it, with specialists commending its speed and signal-capturing capabilities.