GhostContent.ai vs WeRela

Building AI Creator Workflows for Content at Scale

GhostContent.ai is pioneering the future of content creation at scale. We have built a platform where Creators can craft content in their own voice that is tailored to their audience. We ingest unstructured media from multiple sources (i.e. podcasts, meetings, notes), transform them into viral-worthy content using AI, and publish them across major social platforms. We have built custom AI language models trained on hundreds of thousands of social posts to replace tedious creator workflows, allowing them to focus on what they do best: creating ideas. We believe personal brands are the future of media and we help top creators, founders, and coaches scale themselves into full-stack media companies.

Location: San Francisco, United States

Meet new friends with common interests

The main purpose of WeRela is to socialize and report users, but unlike the social networks that we are accustomed to using, makes sure that people can actually meet. Through the geolocation system you can see the people who use the app around your position. This will make it possible to view the individual profile and see if you have common interests, or in any case can be born a true friendship off-line. Not only that, WeRela, through information provided by the user, is able to calculate the percentage of affinity between people, so that you have at a glance the probability that friendship, or relationship, have good results. But that's not all. Everyone has his favorite spots that often frequents (gym, pub, library) .Each user can mark as favorite the place that habitually attends and the person who opens a user's profile can see if it will meet in places that also he attended. Finally you will be able to see the friendships / relationships of a user and, using a crossover system, refer to the percentage of affinity between the user and his relationship, and between itself and user relationships displayed. In this way you can decide whether to request the contact of a user report, for example, if the percentage of affinity is very high.