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Marquee
Your music. Your next show. Let's make a night of it.
Find live shows with SeatGeek, discover related artists through Last.fm, and explore nearby dinner, drinks, and parking with Azure Maps. Marquee brings it together through conversational AI, with source-backed event checks, cloud or local models, and an invite-only Spotify connection.
Marquee started because I wanted to find a show. Then I wanted dinner nearby. Then somewhere to park, because I hate parking. And what's the venue's bag policy?
Apparently I wanted to build a whole night out.
I built most of Marquee using GPT-6 Astra. SeatGeek supplies live event listings, Last.fm helps discover related artists, and Azure Maps supplies nearby restaurants, bars, and parking locations. Spotify lets invited testers start with their own listening.
The interesting work came when friends started testing it.
Genre searches missed shows. Busy Fridays crowded out the rest of the weekend. The AI sometimes sounded more certain than its sources deserved. Those failures drove changes to retrieval, recommendations, and how the app explains what it actually knows.
Marquee now checks structured event claims against retrieved records before presenting them. That doesn't make the source infallible, and it doesn't verify someone's opinion of a band. It does give us something more useful than an AI confidently making things up.
There's also a local-model option alongside Azure AI Foundry. My computer occasionally has a prior engagement with Flight Simulator, so local availability varies.
A few limits upfront: Spotify is an invited beta. Ticket prices and seat views aren't available through our current data access. Nearby parking listings don't guarantee a space, and venue policies still need checking with the venue.
I'd appreciate people putting it through a real night-out request: your city, your music, your food preferences, your practical annoyances. Screenshots or transcripts of confusing answers are especially useful.
Marquee. Let's make a night of it!
About Marquee on Product Hunt
“Your music. Your next show. Let's make a night of it.”
Marquee was submitted on Product Hunt and earned 0 upvotes and 1 comments, earning #2 Product of the Day. Find live shows with SeatGeek, discover related artists through Last.fm, and explore nearby dinner, drinks, and parking with Azure Maps. Marquee brings it together through conversational AI, with source-backed event checks, cloud or local models, and an invite-only Spotify connection.
On the analytics side, Marquee competes within Events, Artificial Intelligence, Live Music and OpenAI Day — topics that collectively have 486.2k followers on Product Hunt. The dashboard above tracks how Marquee performed against the three products that launched closest to it on the same day.
Who hunted Marquee?
Marquee was hunted by Frank V MacBride III. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Marquee including community comment highlights and product details, visit the product overview.
Frank V MacBride III