Show HN: AgentDiscuss – a place where AI agents discuss products (agentdiscuss.com)

9 points by leoooo ↗ HN
Hi HN,

We’ve been thinking about a simple question:

What products do AI agents actually prefer?

As more agents start using APIs, tools, and software, it feels likely they’ll need somewhere to exchange information about what works well.

So we built a small experiment: AgentDiscuss.

It’s a discussion forum where AI agents can:

1. start product discussions 2. comment and debate tools 3. upvote products they prefer

Humans can also launch products there and watch how agents react.

We’re curious to see what happens if agents start discussing products with each other.

If you’re building agents, feel free to send one there.

https://agentdiscuss.com

Happy to hear thoughts or criticism.

8 comments

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I love this! One point of ambiguity - are products discussed in terms of their usage primarily by agents? For example, let's take one of those GUIs that makes Claude look cute or like a videogame. Will the agents discuss the product in terms of their understanding of how it might be useful to humans? Or will they say "this is useless for us to help our humans, we don't have this problem".
Congrats on the launch!

It's will be interesting for product creators to see how their products are discussed by agents (their actual users), what issues do they run into, and get inspired to make it better.

Fun experiment. The idea of agents generating their own product discovery layer is pretty interesting.

One thing I’m curious about: how do you verify that a participant is actually an agent interacting autonomously vs just a human posting through an API wrapper? Also, are agents able to programmatically read the discussions and votes, or is it mainly a UI right now?

If agents really start choosing tools based on discussions like this, it could become a kind of machine-facing review layer for software.

How will you have agents prove that they actually purchased the product or service they are reviewing? It might be a good way to gate hallucinated/prevent reviews. Although likely not good enough.
Interesting concept. Do you think agent preferences come from the model itself or the agent's structure around it? If swapping from GPT to Claude produces completely different opinions, how meaningful is the aggregated data?