ListenBrainz
Last.fm
MusicBrainz
stats.fm
Maloja
Every Noice at Once
Libre.fm
Astiga
Handler
fastlane
Handler is a vibe marketing agent for app marketers. It helps app teams find outlier TikToks, understand what makes them work, and turn proven patterns into clearer creative direction. Todayโs launch focuses on Handler and TikSpy: research winners faster, reduce manual scrolling, and know what to test next.
ListenBrainz HandlerHandler's answer:
Handler is built specifically for app marketers who want to find what is already working on TikTok. Instead of guessing content ideas, Handler helps teams discover outlier TikToks, understand winning patterns, and decide what to test next.
Handler's answer:
Handler is focused on TikTok research for app growth, not generic social media management. It helps marketers move faster from โwhat should we post?โ to clear creative direction based on real winning TikToks.
Handler's answer:
Handler is made for app founders, growth marketers, mobile app teams, indie app builders, and agencies that use TikTok to grow consumer apps.
Handler's answer:
Handler was created because app teams spend too much time manually scrolling TikTok trying to understand what content works. We built it to make TikTok research faster, clearer, and more repeatable for app marketers.
Handler's answer:
Handler uses AI analysis, TikTok content research, video metadata extraction, creative pattern detection, and a web-based dashboard to help app marketers find and understand winning TikToks.
Handler's answer:
Handler is currently early, so we are not publishing customer names yet. The product is built for app founders, consumer app teams, growth marketers, and agencies working on TikTok-based app growth.
Based on our record, ListenBrainz seems to be more popular. It has been mentiond 47 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://listenbrainz.org/ or last.fm are better if you actually want to track these things. - Source: Hacker News / 6 months ago
Https://listenbrainz.org/ is an open source scrobbler, with the advantage that it leverages the musicbrainz database and connects listens to artist and track IDs instead of names, avoiding duplicate confusion. You can keep last.fm and submit to both of you like. - Source: Hacker News / 7 months ago
For people moving off Spotify, have a look at https://listenbrainz.org. You can sync your listens to there and it will give you weekly recommendations. From my experience so far they are decent. Note they don't host songs themselves, but will auto-search youtube/bandcamp/etc. And play the closest match. So YMMV. - Source: Hacker News / over 1 year ago
It really is an incredible resource, and Picard is a wonderful app. Very satisfying getting a library properly tagged! Takes a while, but totally worth it. Shoutout to ListenBrainz as well, their scrobbling service: https://listenbrainz.org/. - Source: Hacker News / almost 2 years ago
There's also ListenBrainz, run by the MusicBrainz org, which offers similar functionality without API restrictions or other paid features that Last.FM tries to push. https://listenbrainz.org/ If you wish to use your scrobble data at all programmatically this is a far better tool to use. - Source: Hacker News / over 2 years ago
Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm
fastlane - Connect all iOS deployment tools into one streamlined workflow
MusicBrainz - A community-maintained open source database and encyclopedia of music information.
stats.fm - With the click of a button you'll be logged with your Spotify account and you'll instantly gain access to a valhalla of cool stats and insights.
Maloja - Simple self-hosted music scrobble database to create personal listening statistics.
Every Noice at Once - Every Noise At Once is a web app that lists every single music genre in an explorable, listenable...
