Nihar Bagkar

Case file · Cue

Case file · AI + Music

Cue

Semantic sound search for music producers: describe a sound in words and get production-ready audio.

Status
Live. Searching needs an account.
Built for
Music producers.
Built with
Next.js, TypeScript, Supabase, and OpenAI.
Research
25+ producer interviews, and an MVP in one sprint cycle.

The problem

Finding a sound should not break your flow

Cue was built around the friction of finding the right sound in the middle of making something. Behind it are 25+ producer interviews and an MVP that shipped in a single sprint cycle.

The idea is simple: describe the sound you want in plain language, and get production-ready audio back.

What it does

Say what you want to hear

The app opens on one prompt: Search for your perfect sound.

  • Search in words.

    Describe a sound in language, and Cue turns the description into a search over its sound library. Tags can narrow the results.

  • Audition in the browser.

    Every result plays inline, one at a time, so you can compare sounds without stacking them up.

  • The details that matter.

    Each sound carries its BPM and key, plus duration and tags, so you can tell whether it fits a track.

  • Save and download.

    Save a sound to your library, or download it, right from its card.

  • A personal library.

    Your saved sounds live in one place with their own search, so a find is easy to come back to.

  • Search history.

    Past searches are grouped by recency: today, yesterday, the past three days, and the past seven.

Cue's home screen before signing in, with a music-note mascot, the prompt Search for your perfect sound, and category chips
The home screen, signed out
Cue's signed-in app with a sidebar showing New Search, Home, Library and an active Premium subscription
Signed in, with Premium

Design choices

Four choices that shaped it

  • Describe, don’t browse.

    One prompt is the whole front door, with category chips and tags as quick starting points and filters.

  • Audition before you commit.

    Sounds play in place, and starting one stops the last, so you hear each sound on its own.

  • Producer metadata up front.

    BPM and key sit on every sound, since those decide whether it will work in a track.

  • Accounts and a library.

    Search and saving sit behind a login, so each producer builds their own collection over time.

Under the hood

Next.js on Supabase, with OpenAI in the loop

Cue is a Next.js app written in TypeScript, with a shadcn/ui component set. Supabase handles sign-in, the sound library, user collections, and the audio files themselves.

Search is a single endpoint that takes a text query and optional tags. An OpenAI-backed helper interprets the query, and the matching sounds come back from Supabase.

Shipping log

From a starter to an app

  1. April 9, 2025

    A first repository

    The first Cue repository starts from a Next.js starter.

  2. April 29, 2025

    The Cue app on GitHub

    The app’s code lands in a public repository, with semantic search, a saved library, search history, and accounts.

Where it stands

Live, and early

Cue is live at cue-self.vercel.app, and searching requires an account. The app also has a Premium subscription.

Find your sound