Gigs turns your concert history into a personal live music archive

· Source: TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Novice, quick

Summary

Gigs, a new iOS concert-tracking application, is launching this week to help live music fans archive their concert memories. The app utilizes Apple's on-device AI, specifically Foundation Models, to extract event details like dates, venues, and lineups from imported tickets, emails, screenshots, or website links. Users can also import existing concert histories from services like Setlist.fm or Concert Archives. Post-concert features include syncing dates to calendars, setting ticket sale reminders, and uploading photos and videos. Developed by indie developer Hidde van der Ploeg, Gigs offers a stats dashboard to track metrics such as most-seen artists and favorite venues, alongside milestones. Designed for iOS 26 with a "Liquid Glass" aesthetic, it integrates with Siri and Apple's Spotlight, and is available as a free download with a $2.99/month or $19.99/year subscription for advanced features like data export and unlimited storage.

Key takeaway

For AI Product Managers developing consumer-facing archival or tracking applications, consider how on-device AI can streamline data input and enhance user privacy. Offering tiered subscriptions for advanced features like data export and expanded storage can create a sustainable revenue model, while deep integration with platform features like Siri and Spotlight improves discoverability and user experience.

Key insights

Gigs uses on-device AI to help users archive and gain insights from their live music event history.

Principles

Method

The Gigs app extracts concert details using Apple's Foundation Models from various input types (tickets, emails, links) and allows import from third-party tracking services to build a personal event archive.

In practice

Topics

Best for: AI Product Manager, Entrepreneur, Product Manager, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by TechCrunch.