ccgzirim

4 ms·

1.
Why It Sucks to Be a SWE in This Era (Junior Dev POV)(youtube.com)
1 points by ccgzirim 1mo ago|0 comments
2.
I recreated Shazam's algorithm with Go [video](youtube.com)
109 points by ccgzirim 2y ago|16 comments
3.
by ccgzirim 2y ago
I initially chose MongoDB for its flexibility, but I'm open to exploring SQLite as an alternative. I'll research its JSON capabilities and evaluate its suitability for this project.
4.
by ccgzirim 2y ago
The data comes from a database of fingerprints connected to the server. These fingerprints are created whenever songs are added.
5.
by ccgzirim 2y ago
I've added that to my to-do list and plan to implement it this weekend.
6.
by ccgzirim 2y ago
A. SeekSound vs B. SoundSeek vs C. SoundScout Which would be a better alternative?
7.
by ccgzirim 2y ago
Isolating a single artist based on a fingerprint sounds challenging but interesting. Using exemplar fingerprints, a representative sample of an artist's music, is a good approach, but success would require detailed fingerprints, a vari
8.
by ccgzirim 2y ago
Thank you for the time you took to provide such detailed feedback. I really appreciate your honest input. You've raised some valid points that I hadn't really considered. I agree that the project could definitely use some polishin
9.
by ccgzirim 2y ago
Thanks. I'm glad it inspires you! It'd be awesome to see you take it on. You can clone it and develop it further.
10.
by ccgzirim 2y ago
Oops... Thank you. I've disabled it.
11.
by ccgzirim 2y ago
Thanks! I appreciate the compliment on my Golang; This is actually my first full-fledged project with the language, haha. Feel free to reach out if you have any issues running it.
12.
by ccgzirim 2y ago
You're right. The Spotify link is used solely to get details about the song. These details are then used to search for and download the song from YouTube. Afterward, the fingerprint for the song is created and added to the database.
13.
by ccgzirim 2y ago
It would actually. But Spotify doesn't allow direct downloads so I had to find the songs on YouTube and download them from there.
14.
I recreated Shazam’s algorithm with Go(github.com)
494 points by ccgzirim 2y ago|117 comments