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pondas
Run a team of AI agents like a game to build what you want
Building with AI is easy now. You prompt, a black box guesses, you hope. pondas is different: you run a team of AI agents and control the loop they work in, like a game. Add agents, set who builds and who checks, watch each one's status and token use, fix things with a live preview, and publish in a few clicks. It goes live at a link you can share and the code is yours. Real control over how the AI builds, no technical background needed.
Hey Product Hunt!
Building with AI is easy now. You type a prompt, one model does something in a black box, and you hope it comes out right. The part I wanted to change is that you never actually get to run the thing.
pondas gives you real control over a team of AI agents and the loop they work in - the harness and orchestration engineers use to get quality out of AI, made simple enough that anyone can drive it, like a game.
Here is what you actually do:
- Tell the orchestrator what you want, in plain words, and it runs the whole team for you - or take the wheel and direct it yourself.
- Build your own team. Add agents, give each a role, and set up the loop - who builds, who checks, who fixes, and how they hand off.
- Watch it happen like a game. Every agent shows a live status, you see the token usage as it runs, and you get a notification the moment a step is done.
- See it live and keep going. A live preview shows the real result, and you just say what to change - again and again - until it is exactly right.
- Publish in a few clicks. When you are happy, it goes live at a link you can share, and the code is yours in your own repo.
The point is not that you skip the code. It is that you finally control how the AI works - the agents, the checks, the loop - instead of trusting one prompt and hoping. No terminal, no setup, no technical background needed.
Free credits to try it. I would love to see what you build, and hear where it breaks so I can fix it.
About pondas on Product Hunt
“Run a team of AI agents like a game to build what you want”
pondas was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #84 on the daily leaderboard. Building with AI is easy now. You prompt, a black box guesses, you hope. pondas is different: you run a team of AI agents and control the loop they work in, like a game. Add agents, set who builds and who checks, watch each one's status and token use, fix things with a live preview, and publish in a few clicks. It goes live at a link you can share and the code is yours. Real control over how the AI builds, no technical background needed.
On the analytics side, pondas competes within Developer Tools, Artificial Intelligence and No-Code — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how pondas performed against the three products that launched closest to it on the same day.
Who hunted pondas?
pondas was hunted by Harris Yoon. 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 pondas including community comment highlights and product details, visit the product overview.
Harris Yoon