AI is incredibly good, I d even say almost perfect.

And for many people, that uniformity of perfect templates is starting to feel annoying.

one thing we learned launching openowl: engaging on reddit, twitter, HN, product hunt, linkedin all at once is exhausting. especially as a solo founder.

so we built a system for it and just open-sourced the whole thing.

it's a claude code template with platform-specific guides and skills for each platform. you clone the repo, fill in your product details, and run /engage-reddit or /engage-twitter or

/engage-all and it finds relevant posts, drafts replies in the right tone for each platform, and you review before posting.

TwelveLabs just introduced Pegasus 1.5, their most significant leap in generative video AI, transforming video into a queryable, structured data asset.

They're launching today on Product Hunt.

Most software wants you to come back every day. The business model depends on it. More sessions, more engagement, more opportunities to monetize.

But what happens when your product's purpose is to help someone understand themselves better? At Murror, we've been wrestling with a paradox: if we do our job well, users should eventually need us less not more.

Product Hunt is home to amazing products across every category.

Today, we wanted to look at AI creative tools from a slightly different angle not just features, but the real-world marketing activity behind them.

The market has never been this crowded. AI has made it possible to go from idea to shipped product in days which means Product Hunt is now flooded with launches every single week. More products, more noise, more competition for the same front page.

So I've been thinking about this a lot: what actually separates the products that make it to the top from the ones that quietly disappear by noon?

From where I sit as a builder, here's what I genuinely believe matters: