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Galiboo – An A.I.-powered API for music

Hacker News

Galiboo – An A.I.-powered API for music

Hi guys! At our startup, Galiboo, we've created an AI-powered API for music, which can do things like: - searching for music with natural language - extracting hundreds of moods & emotions from any track - finding tracks by tags - get similar-sounding music - and more. The website is https://galiboo.com/ , and the API docs are at apidocs.galiboo.com. We've also got a live demo at demo.galiboo.com. We also have a Python client library at https://github.com/galiboo/galiboo-python . Our APIs are in beta, so we'd love to hear your thoughts & feedback! :) Thanks!

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Product HuntOn track for Day 1 leaderboard · Strong signals: apis · Missing: mac, agents, macos
67%67% 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 · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
49%49% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting
45%45% 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
40%40% 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
11%11% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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