Abstract: A user is provided with insights into their upcoming day. One or more calendars for the user are identified. The identified calendars are then heuristically analyzed to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user. One or more electronic messages each of which was received by or sent by the user are also identified. The identified electronic messages are then heuristically analyzed to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user. The identified calendars and the identified electronic messages are also heuristically analyzed together to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user.

Abstract: A user is provided with insights into their upcoming day. One or more calendars for the user are identified. The identified calendars are then heuristically analyzed to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user. One or more electronic messages each of which was received by or sent by the user are also identified. The identified electronic messages are then heuristically analyzed to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user. The identified calendars and the identified electronic messages are also heuristically analyzed together to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user.

Abstract: One or more techniques and/or systems are provided for facilitating task completion. For example, a natural language input (e.g., “where should we eat”) may be received from a user of a client device. The natural language input may be evaluated using a set of user contextual signals, opted-in for exposure by the user for facilitating task completion, to identify a user task intent. For example, a user task intent of viewing a local Mexican restaurant menu may be identified based upon a social network post of the user indicating that the user is meeting a friend for Mexican food. Task completion functionality may be exposed to the user based upon the user task intent. For example, a restaurant app may be deep launched to display a menu of a local Mexican restaurant.