Automate your launch-day comment triage with an AI agent

The comment thread, sorted

A companion reads the thread and groups it: genuine questions, feature requests, bug reports, support and noise. Questions get a draft answer each, with the ones needing a founder marked as such.

On a busy launch that is around an hour of reading you do not have to do, and it happens while the twenty-minute window is still open.

What launched in your category this month?

A companion reads the topics you care about, lists what launched, and summarises each against what you already know.

The output that matters is the delta: which of these overlaps with your roadmap, which is aimed at your buyer, which is a feature you shipped in 2024. That feeds refresh battlecards when competitors ship.

Turning launch traffic into something durable

Launch day produces a list of people who cared enough to comment, and most teams lose it.

A companion reads every commenter, researches who they are, and proposes the handful worth a real conversation with the context of what they said attached. Written into your CRM the same week, that is a warm list.

• Commenters researched for role and company, so outreach is not generic.
• Feature requests collected as a list rather than scattered through a thread.
• Nothing posted publicly without a person reading it first.

What does the API not give you?

Product Hunt’s API is read-heavy and rate limited, and live ranking movement is not something you query.

Anything it does not cover is read in the site itself, in the session you are already signed into. Either way the thread gets read and every question comes back with a draft answer under it.

Frequently asked questions