I built a festival tracker that matches lineups to your music library
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Hi HN,I built this app because I was tired of manually checking festival lineups against my music library every summer. I wanted a way to instantly see which festivals had the highest 'match' density for my specific taste.Why I built this:I missed one of my favorite artists at a festival last year simply because I didn't recognize their name on a crowded poster. I realized that with Apple Music/Spotify APIs, this discovery process should be automated.Key Features:Library Matching: It scans your library and ranks upcoming festivals by how many artists you actually follow.Apple Sync: Seamlessly imports your top artists and creates custom schedules.Offline-First: Since festival cell service is notoriously terrible, I focused on a robust local caching system so your schedule and maps work without a signal.Technical Details:Stack: React Native, MongoDB, AWS.Data: I built a custom aggregator that scrapes and normalizes lineup data from various sources to handle the 'entity resolution' problem (e.g., ensuring 'Artist A' is the same person across different posters).Privacy: All music library analysis is performed locally on-device where possible. I'd love to hear your thoughts on the UI or any technical questions about the matching logic. I’m also looking for feedback on how to improve the schedule-sharing feature for groups!How do you find concerts/music festivals that match your taste? How many festivals you join per year?Cheers!
HN · launched Feb 8, 2026 · 9 upvotes (top 51%) · 0 views
Niche: music discovery and streaming platforms · 162 launches, 11 in the last 7 days ▼ -35% · Explore this niche →
Category and tags
- Media & entertainment
- Marketplace
- B2C
- Not AI
- Commercial product
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More like this: all 162 launches in music discovery and streaming platforms →
Could you build this?
Partial Connecting to Spotify/Apple Music APIs and calculating overlaps is simple, but aggregating and continuously updating an accurate global database of thousands of festival lineups and set times requires extensive data maintenance.
What it would actually take: The app requires continuous ingestion scrapers and data partnerships (MusicBrainz, Songkick, Festicket APIs, or direct festival site crawlers) with entity resolution algorithms to map artist names across diverse spellings. Storing and serving real-time schedule changes and lineup updates requires a centralized backend with scheduled web workers and manual curation tooling. The primary obstacle is not the matching algorithm, but maintaining comprehensive, high-integrity festival data globally.
Discussion
2 comments analyzed.
Feature requests: Regional trends analysis for musicians to find audiences by location
Competitors
Other products that read as similar to this one : 153 launches clear the similarity bar, closest 8 shown.
Attention rank: #68 of 154 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 86 days after the earliest competitor.
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