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.

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".

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?

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.

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.

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