Abstract: Techniques for a framework associated with a group-based communication platform for enabling applications to scale events to be distributable to various users over a communication platform are described. For example, a group-based communication platform may receive a message from a first application to send to a second application. The group-based communication platform may identify a topic and an event associated with the message. The group-based communication platform may then send the message to a queue associated with the second application, wherein the queue is associated with the topic and a user of the second application. The group-based communication platform may then cause presentation of the message to the user. In some examples messages may be sent bidirectionally, such that a message may be sent from the second application to the first application.

Abstract: Techniques for displaying workflow responses based on determining topics associated with user requests are discussed herein. In some examples, a user may post a request (e.g., question) to a virtual space (e.g., a channel, thread, board, etc.) of a communication platform. The communication platform may input the request into a machine learning model trained to identify topics associated with the request and confidence levels associated with topics. In such examples, the communication platform may associate a topic with the user request based on the confidence level of the topic. In some examples, the communication platform may determine that the topic is associated with a graphical identifier (e.g., emoji). The communication platform may cause the graphical identifier to be displayed to the virtual space within which the user request was posted. In response to displaying the graphical identifier, the communication platform may display a workflow response to the virtual space.