Songbrain
Upload an MP3 or WAV and in about a minute Songbrain breaks it down the way listeners and algorithms hear it: genre across 37 subgenres, tempo, key, loudness, mood and energy, a lyrics evaluation, and a 0-100 virality score with reasoning behind it. Its signature feature is "Vira
Songbrain launched on May 25, 2026 with 8 votes, #1,430 of 20,538 launches that month and more than 90% of that year's launches.
What it does
Upload your song: Virality Score, Best Moments, Reel Reverse-Engineering, and free auto-pitch to 37 curated Spotify playlists. 500 free credits, no card.
Upload one song, get everything: Virality Score with a transparent breakdown, best-moment detection, 7 ready-to-post beat-synced reels, captions + hashtags per platform, and a 2-week posting plan. Built for indie & Suno artists. 50 free credits, no card.
Find your song’s strongest seconds , get an honest 0–100 score, and walk away with 7 videos ready to post — in about a minute. The song, second by second — the glowing windows are its viral moments. A real result — every number above is what this song actually scored. MP3 or WAV, 30 seconds minimum. Analysis and videos start immediately. Score, best moments, Song DNA — the 7 reels render alongside. Captions per platform, and every reel has its day: tease, drop, follow up. One upload, seven videos — each cut to its own moment of the song. One number, 0–100 — and the transparent breakdown behind it. You see whether hooks, energy, production or lyrics carry your track, and what drags it. The…from songbrain.ai
Does a similar job
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Hey HN! I just shipped a project I’ve been working on called Maroofy: https://maroofy.com You can search for any song, and it’ll use the song’s audio to find other similar-sounding music. Demo: https://twitter.com/subby_tech/status/1621293770779287554 How does it work? I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music. My model analyzes raw music audio as input and produces embedding vectors as output. I then store the embedding vectors for all songs into a vector database, and use semantic…
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