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Brew.fm – Let bots discover new music on Spotify for you

Hacker News

Brew.fm – Let bots discover new music on Spotify for you

Use Spotify? This tool will automate your music discovery for you. Join here (100% perpetually free with no strings attached): https://brew.fm Some time ago, I built and showed HN[1] brew.fm, a tool helping artists remix each other’s work. It had been quiet, and I remembered how fun it was to work with the Spotify API, so I repurposed the tool to solve one of my own problems: missing out on new music of my favorite artists. I shared it on Reddit yesterday[2], and this seems to hit a spot for more people: so far 833 people connected their Spotify account. How it works: The tool simply shows your top 50 artists on Spotify over short, medium and long term, and checks those artists for new music. If you select a playlist, every artist involved in the tracks will be checked for new music, after which new releases are shown sorted by most recent release date. Here’s a video of me demoing the tool: https://youtu.be/Nh2Ognb4PgU . Enjoy! Very open to feedback. [1] https://news.ycombinator.com/item?id=29952633 [2] https://www.reddit.com/r/spotify/comments/wsq8rl/let_a_1000_...

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128points
62comments
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Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 000 · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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