Massively multi-player game played by talking to an LLM
Gradient Bang is a new kind of software: AI-native, built from the ground up to use LLMs everywhere. The game has a dynamic user interface driven by an LLM, conversational voice input, and to win you have to manage a fleet of AI subagents. You can even program your own subagents and run them in Vercel Sandboxes. Built with Pipecat, Daily WebRTC, Supabase, Vercel.
Gradient Bang is a massively multiplayer, completely LLM-driven game. Come play Gradient Bang with us. See if you can catch me on the leaderboard.
This whole thing started because I wanted to explore a bunch of things I’m currently obsessed with, in an application of non-trivial size, that felt both new and old at the same time.
So … a retro-style space trading game built entirely around interacting with and managing multiple LLMs. Factorio, but instead of clicking, you talk to your ship AI and figure out how to make money, make friends, and make havoc for your enemies.
Some of the things we’ve been thinking about as we hack on Gradient Bang:
- Sub-agent orchestration - Managing very, very, very long LLM contexts, including episodic memory across user sessions - World events and large volumes of structured data input as part of human/agent conversations - Dynamic user interfaces, driven/created on the fly by LLMs - And, of course, voice as primary input
If you’ve been building coding harnesses, or writing Open Claw agents, or doing pretty much anything that pushes the boundaries of AI-native development these days, you’re probably thinking about these things too!
The game is entirely open source. So if you want to see how we built it, you can clone the repo and start asking Claude/Codex about the code. If you want to add a feature, submit a PR.
New today, design your own corporation ship agents, run them in a Vercel Sandbox, and bring them into the game. Think you can make your pair trading loops faster? That's going to give you a pretty big advantage in the game. Want to run with unlimited corp ship compute using open source models? You can do that, now!
“Massively multi-player game played by talking to an LLM”
Gradient Bang launched on Product Hunt on May 15th, 2026 and earned 156 upvotes and 24 comments, placing #6 on the daily leaderboard. Gradient Bang is a new kind of software: AI-native, built from the ground up to use LLMs everywhere. The game has a dynamic user interface driven by an LLM, conversational voice input, and to win you have to manage a fleet of AI subagents. You can even program your own subagents and run them in Vercel Sandboxes. Built with Pipecat, Daily WebRTC, Supabase, Vercel.
On the analytics side, Gradient Bang competes within Artificial Intelligence, GitHub, Tech, Games and Vercel Day — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Gradient Bang performed against the three products that launched closest to it on the same day.
Who hunted Gradient Bang?
Gradient Bang was hunted by Kwindla Kramer. 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 Gradient Bang including community comment highlights and product details, visit the product overview.
Kwindla Kramer
Gradient Bang is a massively multiplayer, completely LLM-driven game. Come play Gradient Bang with us. See if you can catch me on the leaderboard.
This whole thing started because I wanted to explore a bunch of things I’m currently obsessed with, in an application of non-trivial size, that felt both new and old at the same time.
So … a retro-style space trading game built entirely around interacting with and managing multiple LLMs. Factorio, but instead of clicking, you talk to your ship AI and figure out how to make money, make friends, and make havoc for your enemies.
Some of the things we’ve been thinking about as we hack on Gradient Bang:
- Sub-agent orchestration
- Managing very, very, very long LLM contexts, including episodic memory across user sessions
- World events and large volumes of structured data input as part of human/agent conversations
- Dynamic user interfaces, driven/created on the fly by LLMs
- And, of course, voice as primary input
If you’ve been building coding harnesses, or writing Open Claw agents, or doing pretty much anything that pushes the boundaries of AI-native development these days, you’re probably thinking about these things too!
The game is entirely open source. So if you want to see how we built it, you can clone the repo and start asking Claude/Codex about the code. If you want to add a feature, submit a PR.
New today, design your own corporation ship agents, run them in a Vercel Sandbox, and bring them into the game. Think you can make your pair trading loops faster? That's going to give you a pretty big advantage in the game. Want to run with unlimited corp ship compute using open source models? You can do that, now!
See the Vercel Sandbox subagents starter repo here: https://github.com/pipecat-ai/gradient-bang/tree/main/deployment/vercel