RadioCut vs WeRela

All the radio to rewind, listen and share

RadioCut is a “crowdclipping” tool that lets users listen to previously aired radio shows, create audio cuts and share them.

Radiocut is a platform that allows you to listen to past radio shows and share audio segments. If you've heard something interesting and want to share it with others, you simply have to select the start and end of the segment and write a description.
This results in a vast archive of radiocuts, like Youtube is for videos, or Soundcloud for audio. The main difference with our platform is that there is no need to upload content; simply listen to what is already there, create your cut and share it!

RadioCut modernizes this century old form of media by making it possible to link, search, share and have on-demand access.

RadioCut has already revolutionized the way people listen to the radio in Argentina. Now it's available in the US with 50 (and growing!) radio stations to listen to, rewind and cut.

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.