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Duplex Party
Build and explore a shared AI computer, just by talking
Take a turn at a shared AI computer. Build apps, games and visual explanations by talking. Full-Duplex Code shows and explains the work as it happens, so you can ask questions and change direction. Watch others, build on their work, and try it free.
I built Duplex Party because I kept running into the same problem with AI work: the agent keeps going, but you lose the thread of what’s being made. Your judgment matters most while the work is happening.
Full-Duplex Code keeps the conversation with the product. Ask a question and it can show you the relevant part while explaining it aloud. Interrupt, clarify, or change direction as the work continues.
Duplex Party is a free, shared place to try that. One persistent computer. One person has the mic; everyone can watch and listen. Take a turn, make something, ask it to explain what’s already there, or take someone else’s work in a new direction. The work stays for the next person.
Come with a rough idea. A game, a visual explanation, a small app—or something I haven’t thought of. You can discover what to do by watching, asking, and experimenting.
I’d love your feedback on this: when did seeing and hearing the work together help you understand it, and where did you still lose the thread? Tell me what you tried and what felt awkward.
“Build and explore a shared AI computer, just by talking”
Duplex Party was submitted on Product Hunt and earned 6 upvotes and 3 comments, placing #33 on the daily leaderboard. Take a turn at a shared AI computer. Build apps, games and visual explanations by talking. Full-Duplex Code shows and explains the work as it happens, so you can ask questions and change direction. Watch others, build on their work, and try it free.
On the analytics side, Duplex Party competes within User Experience, Education and Virtual Assistants — topics that collectively have 465.2k followers on Product Hunt. The dashboard above tracks how Duplex Party performed against the three products that launched closest to it on the same day.
Who hunted Duplex Party?
Duplex Party was hunted by Sebastian Sosa. 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 Duplex Party including community comment highlights and product details, visit the product overview.
Sebastian Sosa
Hi Product Hunt, I’m Seb.
I built Duplex Party because I kept running into the same problem with AI work: the agent keeps going, but you lose the thread of what’s being made. Your judgment matters most while the work is happening.
Full-Duplex Code keeps the conversation with the product. Ask a question and it can show you the relevant part while explaining it aloud. Interrupt, clarify, or change direction as the work continues.
Duplex Party is a free, shared place to try that. One persistent computer. One person has the mic; everyone can watch and listen. Take a turn, make something, ask it to explain what’s already there, or take someone else’s work in a new direction. The work stays for the next person.
Come with a rough idea. A game, a visual explanation, a small app—or something I haven’t thought of. You can discover what to do by watching, asking, and experimenting.
I’d love your feedback on this: when did seeing and hearing the work together help you understand it, and where did you still lose the thread? Tell me what you tried and what felt awkward.
Come play: https://duplex.party