Public conversation about AI is loud, and most of it is not from people looking to buy anything. For an AI product, the useful conversations are usually not about AI at all. They are about a task: a report that takes hours to assemble, a support queue that never empties, documents that need the same checks every week.
Search for the problem, not the technology
Distrarc starts from what your product does for its users, as described on your site. You can correct that description before searching. Searches then look for people describing the underlying task or frustration, which keeps results focused on potential users rather than on general AI discussion.
Where it looks
The sources depend on who your users are. A tool for engineers is routed to places such as Hacker News, GitHub, Stack Overflow and Reddit. A tool for business users or consumers is routed to places such as Reddit, Bluesky, YouTube and web search results. Each result links to the original conversation, with its date and the reason it fits.
Be precise about what your product does
People are rightly sceptical of AI claims. Replies work better when they describe concretely what the product does, what it does not do, and how someone can check the result. Distrarc's drafts answer the question first, mention your product at most once and disclose that you built it. You edit and post them yourself.
Watch activation closely
Curiosity sign-ups are common for AI products. Watch in your own analytics whether new users reach the moment your product is actually useful, and fix that before you push for more. More in closing the loop.
Try it on your product with a free first report, or see pricing and the 7-day trial.