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Match-Ranker is a highly versatile and inimitable app designed to help users rank their favorite songs through a series of head to head “matches” between pairs of songs

MatchRanker

by Muhammad Irfan Zafar

What is it about?

Match-Ranker is a highly versatile and inimitable app designed to help users rank their favorite songs through a series of head to head “matches” between pairs of songs. In each match one song is the winner and one song is the loser. Each song in a user’s universe has a rating score. After each match, the winning song will gain rating points while the losing song will lose rating points. Songs can be compared to each other and ordered in a holistic way by looking at their rating scores, these will continue to get more and more accurate as the user completes more matches.

App Details

Version
1.3
Rating
(2)
Size
18Mb
Genre
Music
Last updated
May 30, 2024
Release date
August 29, 2023
More info

App Screenshots

App Store Description

Match-Ranker is a highly versatile and inimitable app designed to help users rank their favorite songs through a series of head to head “matches” between pairs of songs. In each match one song is the winner and one song is the loser. Each song in a user’s universe has a rating score. After each match, the winning song will gain rating points while the losing song will lose rating points. Songs can be compared to each other and ordered in a holistic way by looking at their rating scores, these will continue to get more and more accurate as the user completes more matches.

Each user will have their own universe of songs. Their choices of which songs win and lose match ups will drive a song’s rating within their universe. Each user’s ratings are unique. Their choices will not influence the ratings of songs for other users. A song can be rated highly by one user while the same song has a low rating with another user. These are completely independent.

Match-Ranker will randomly generate match ups of songs from within a user’s universe. For each match up generated, the user picks which of the two songs wins. Every song in the user’s universe has a rating score, and each time it's in a match up, afterward its rating will change according to the result. A song that wins a match up will increase its rating points and a song that loses will decrease its rating.

So it’s an ultimate doorway to your songs universe. Make sure every matchup speaks for you and your favorite song leads the rest!


Disclaimer :

Matchranker is not using any 3rd Party but Apple Music for getting songs. And that too only would work for users who have their paid subscription enabled on the Apple ID.

It is not actually storing any data on the server but calling the Apple Music services within its interface using the following official documentation and APIs end-points. This is, to fetch most played songs, play counts and calculate ranking of the songs user has been playing for a certain chunk of time via


Each user will have their own universe of songs. Their choices of which songs win and lose match ups will drive a song’s rating within their universe. Each user’s ratings are unique. Their choices will not influence the ratings of songs for other users. A song can be rated highly by one user while the same song has a low rating with another user. These are completely independent.

Match-Ranker will randomly generate match ups of songs from within a user’s universe. For each match up generated, the user picks which of the two songs wins. Every song in the user’s universe has a rating score, and each time it's in a match up, afterward its rating will change according to the result. A song that wins a match up will increase its rating points and a song that loses will decrease its rating.

So it’s an ultimate doorway to your songs universe. Make sure every matchup speaks for you and your favorite song leads the rest!
their Apple Music public ID :

- https://developer.apple.com/documentation/applemusicapi/

If any additional information like artist, etc are coming through it, we are not storing or using that at all within our app.

Disclaimer:
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