Submission by Ammon

WikiSounds: Paste any text. Get its unique song. What does a job rejection letter sound like? A Reddit argument? Your company's about page? WikiSounds finds out. We indexed 1,100+ music genre descriptions from Wikipedia's entire documented history of human musical expression into turbopuffer. Paste anything, and we semantically match it against that curated vocabulary... post-punk, Tuvan throat singing, vaporwave, zydeco, everything humans have ever named and described... then feed the matched genres into ElevenLabs to generate a custom 30-second track. The key insight: without the retrieval layer, you're just free-prompting a music generator with raw text. With turbopuffer in the middle, you're grounding generation in real musicological knowledge. Your Monday standup notes don't just become "office music," they become a specific blend of jumpstyle and juke, because that's what the semantic space says your words actually sound like. How it works: Paste anything: a poem, a Slack thread, a recipe, your inner monologue Your text is embedded and matched against Wikipedia's music genre taxonomy via turbopuffer Matched genres plus a summary of your text become a rich music generation prompt ElevenLabs generates a unique 30-second track Share it with a permanent link Stack: React + Cloudflare Workers + turbopuffer + OpenAI embeddings + ElevenLabs Music API