Abstract: In providing a help service, a server: receives a help request from a help seeker; matches the help request to potential helpers using a scoring model; sends a list of potential helpers to the help seeker; receives selections of potential helpers; sends the help request to each selected potential helper; receives from potential helper indication of willingness to respond to the help request; and sends to the help seeker information on the potential helpers. The server may further: search an external platform for posts seeking help; import the post to the help service; and send a response from potential helpers to post on the platform. The server may further: analyze keywords in the help request; determine it a candidate for sponsored answers; routes the help request to specialists; receives answers from specialists; and sends the answers to the help seeker. The server may further provide a safety net strength score.

Abstract: In providing a help service, a server: receives a help request from a help seeker; matches the help request to potential helpers using a scoring model; sends a list of potential helpers to the help seeker; receives selections of potential helpers; sends the help request to each selected potential helper; receives from potential helper indication of willingness to respond to the help request; and sends to the help seeker information on the potential helpers. The server may further: search an external platform for posts seeking help; import the post to the help service; and send a response from potential helpers to post on the platform. The server may further: analyze keywords in the help request; determine it a candidate for sponsored answers; routes the help request to specialists; receives answers from specialists; and sends the answers to the help seeker. The server may further provide a safety net strength score.

Abstract: A system for providing continual contextual guidance gathers real time data about a user via a mobile device in the user's possession. The system obtains additional data via at least one database. The system infers a context associated with at least a portion of the real time data and/or the additional data, where the context is associated with the user. The system matches the context to guidance information for the user, where the guidance information is intended to improve a wellbeing associated with the user, and transmits the guidance information back to the user via the mobile device. The system continuously matches the context to guidance information in near real-time for a plurality of users. The system identifies a community of helpers that can assist in improving the wellbeing associated with the user.

Abstract: In providing a help service, a server: receives a help request from a help seeker; matches the help request to potential helpers using a scoring model; sends a list of potential helpers to the help seeker; receives selections of potential helpers; sends the help request to each selected potential helper; receives from potential helper indication of willingness to respond to the help request; and sends to the help seeker information on the potential helpers. The server may further: search an external platform for posts seeking help; import the post to the help service; and send a response from potential helpers to post on the platform. The server may further: analyze keywords in the help request; determine it a candidate for sponsored answers; routes the help request to specialists; receives answers from specialists; and sends the answers to the help seeker. The server may further provide a safety net strength score.