Abstract: In one general aspect, a method can include determining that a computing device is in a stationary position for a predetermined time, placing the computing device in a first power mode, detecting input from at least one sensor included in the computing device, identifying at least one application to launch on the computing device based on the detected input and on a heuristic-based usage pattern for the computing device, and transitioning the computing device from the first power mode to a second power mode based on the detected input. The transitioning can include automatically launching the at least one application on the computing device. The at least one application can provide content for display on a display device included in the computing device.

Abstract: In one general aspect, a method can include determining that a computing device is in a stationary position for a predetermined time, placing the computing device in a first power mode, detecting input from at least one sensor included in the computing device, identifying at least one application to launch on the computing device based on the detected input and on a heuristic-based usage pattern for the computing device, and transitioning the computing device from the first power mode to a second power mode based on the detected input. The transitioning can include automatically launching the at least one application on the computing device. The at least one application can provide content for display on a display device included in the computing device.

Abstract: In one general aspect, a method can include determining that a computing device is in a stationary position for a predetermined time, placing the computing device in a first power mode, detecting input from at least one sensor included in the computing device, identifying at least one application to launch on the computing device based on the detected input and on a heuristic-based usage pattern for the computing device, and transitioning the computing device from the first power mode to a second power mode based on the detected input. The transitioning can include automatically launching the at least one application on the computing device. The at least one application can provide content for display on a display device included in the computing device.

Abstract: In one general aspect, a method can include determining that a computing device is in a stationary position for a predetermined time, placing the computing device in a first power mode, detecting input from at least one sensor included in the computing device, identifying at least one application to launch on the computing device based on the detected input and on a heuristic-based usage pattern for the computing device, and transitioning the computing device from the first power mode to a second power mode based on the detected input. The transitioning can include automatically launching the at least one application on the computing device. The at least one application can provide content for display on a display device included in the computing device.

Abstract: A computing device updates wireless connectivity information while the device is in an idle state, in expectation of user-interaction. Power is suspended to wireless network circuitry in a mobile device, for example, when the device is in an idle state. On detecting a movement of the mobile device, a location sensor is activated to read a current location of the mobile device while power to the wireless network circuitry is suspended. Based on the current location being a threshold distance from a location determined before power to the wireless network circuitry was suspended, the wireless network circuitry is activated and a current listing of wireless access points near the mobile device is determined without user interaction with the virtual features of the device.

Abstract: In one general aspect, a method can include determining that a computing device is in a stationary position for a predetermined time, placing the computing device in a first power mode, detecting input from at least one sensor included in the computing device, identifying at least one application to launch on the computing device based on the detected input and on a heuristic-based usage pattern for the computing device, and transitioning the computing device from the first power mode to a second power mode based on the detected input. The transitioning can include automatically launching the at least one application on the computing device. The at least one application can provide content for display on a display device included in the computing device.

Abstract: A computing device updates wireless connectivity information while the device is in an idle state, in expectation of user-interaction. Power is suspended to wireless network circuitry in a mobile device, for example, when the device is in an idle state. On detecting a movement of the mobile device, a location sensor is activated to read a current location of the mobile device while power to the wireless network circuitry is suspended. Based on the current location being a threshold distance from a location determined before power to the wireless network circuitry was suspended, the wireless network circuitry is activated and a current listing of wireless access points near the mobile device is determined without user interaction with the virtual features of the device.

Abstract: A system includes a memory configured to store executable code and a processor operably coupled to the memory. The processor is configured to execute the code to receive a request from a developer of a first web application to provide a notification corresponding to the first web application, authenticate the developer using a client identifier, after authenticating the developer, receive a content of the notification and a first user identifier, and provide the content of the notification to at least one of a plurality of computing devices associated with the first user identifier, based on an account associated with the first user identifier. The system syncs the notification and a plurality of computing devices associated with the first user identifier, based on the account.

Abstract: The subject technology discloses configurations for receiving an indication of user activity from a first user with respect to a post, wherein the post includes content shared by a second user, in response to receiving the indication, an activity post providing an indication of the user activity with respect to the post is created, the activity post including the content, and a set of users that the activity post is visible to are identified, the set of users comprising one or more users selected from users associated with the first user in a social graph, the activity post is provided for display to the set of users in response to the indication.

Abstract: An online article is enhanced by displaying, in association with the article, supplemental content that includes entities that are extracted from the article and/or entities that are related to entities that are extracted from the article. The supplemental content further includes information about each of the entities. The information about an entity may be obtained by searching for the entity in one or more searchable repositories of data. For example, the supplemental content may include, for each entity, video, image, web, and/or news search results. The supplemental content may further include information such as stock quotes, abstracts, maps, scores, and so on. The entities are selected using a variety of analysis and ranking techniques based on contextual factors such as user-specific information, time-sensitive popularity trends, grammatical features, search result quality, and so on. The entities may further be selected for purposes such as generating ad-based revenue.

Abstract: In one general aspect, a method can include determining that a computing device is in a stationary position for a predetermined time, placing the computing device in a first power mode, detecting input from at least one sensor included in the computing device, identifying at least one application to launch on the computing device based on the detected input and on a heuristic-based usage pattern for the computing device, and transitioning the computing device from the first power mode to a second power mode based on the detected input. The transitioning can include automatically launching the at least one application on the computing device. The at least one application can provide content for display on a display device included in the computing device.

Abstract: A system includes a memory configured to store executable code and a processor operably coupled to the memory. The processor is configured to execute the code to receive a request from a developer of a first web application to provide a notification corresponding to the first web application, authenticate the developer using a client identifier, after authenticating the developer, receive a content of the notification and a first user identifier, and provide the content of the notification to at least one of a plurality of computing devices associated with the first user identifier, based on an account associated with the first user identifier.

Abstract: An online article is enhanced by displaying, in association with the article, supplemental content that includes entities that are extracted from the article and/or entities that are related to entities that are extracted from the article. The supplemental content further includes information about each of the entities. The information about an entity may be obtained by searching for the entity in one or more searchable repositories of data. For example, the supplemental content may include, for each entity, video, image, web, and/or news search results. The supplemental content may further include information such as stock quotes, abstracts, maps, scores, and so on. The entities are selected using a variety of analyses and ranking techniques based on contextual factors such as user-specific information, time-sensitive popularity trends, grammatical features, search result quality, and so on. The entities may further be selected for purposes such as generating ad-based revenue.

Abstract: An online marketplace is provided to merchants of digital goods that may be downloaded from the marketplace to a client computing device for execution. A request is received from a party to the marketplace to list a digital good for sale in the marketplace. A primary price for the digital good is received. An opt-in service is offered that includes determining one or more derivative prices associated with the digital good, collecting the one or more derivative prices from a buyer of the digital good, and paying an amount based on the one or more derivative prices to the party to the marketplace. An incentive is provided to the party to accept the offer. After acceptance of the offer by the party, the derivative prices associated with the digital good are determined, the derivative prices are collected from a buyer of the digital good, and the amount based on the one or more derivative prices is paid to the party to the marketplace.

Abstract: An online article is enhanced by displaying, in association with the article, supplemental content that includes entities that are extracted from the article and/or entities that are related to entities that are extracted from the article. The supplemental content further includes information about each of the entities. The information about an entity may be obtained by searching for the entity in one or more searchable repositories of data. For example, the supplemental content may include, for each entity, video, image, web, and/or news search results. The supplemental content may further include information such as stock quotes, abstracts, maps, scores, and so on. The entities are selected using a variety of analyses and ranking techniques based on contextual factors such as user-specific information, time-sensitive popularity trends, grammatical features, search result quality, and so on. The entities may further be selected for purposes such as generating ad-based revenue.

Abstract: An online article is enhanced by displaying, in association with the article, supplemental content that includes entities that are extracted from the article and/or entities that are related to entities that are extracted from the article. The supplemental content further includes information about each of the entities. The information about an entity may be obtained by searching for the entity in one or more searchable repositories of data. For example, the supplemental content may include, for each entity, video, image, web, and/or news search results. The supplemental content may further include information such as stock quotes, abstracts, maps, scores, and so on. The entities are selected using a variety of analyses and ranking techniques based on contextual factors such as user-specific information, time-sensitive popularity trends, grammatical features, search result quality, and so on. The entities may further be selected for purposes such as generating ad-based revenue.