The majority of SaaS startups and product launches these days are AI apps. And for established products, every vendor is throwing an AI chat integration into their existing app and changing their marketing language to advertise it as an AI powered app.

Do new products that don't advertise as AI-powered still have a chance? The product I'm going to be launching does not have any user-facing AI functionality, although AI is used in a limited capacity on a part of the backend. Do I need to advertise this use of AI to even have a chance?

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This story is being published in the Product Hunt Weekly Newsletter. If you'd like to read more stories like this, subscribe here.

Let s settle this once and for all.

Do you spend 3 hours trying to find a clever .com before writing a single line of code? Or do you ship the MVP and slap on whatever domain wasn t taken at the time?

Cast your vote and tell us why.

Let s settle this once and for all.

Do you spend 3 hours trying to find a clever .com before writing a single line of code? Or do you ship the MVP and slap on whatever domain wasn t taken at the time?

Cast your vote and tell us why.

AI coding tools seem to come in two main flavors: IDE-based, like @Cursor and @GitHub Copilot, and terminal-based setups, like using @Claude Code to generate commands, scripts, or entire files. Both have their fans, but which one actually helps you move faster?

Curious what flow people are sticking with long term, and where you see the most gains (or frustrations).

AI coding tools seem to come in two main flavors: IDE-based, like @Cursor and @GitHub Copilot, and terminal-based setups, like using @Claude Code to generate commands, scripts, or entire files. Both have their fans, but which one actually helps you move faster?

Curious what flow people are sticking with long term, and where you see the most gains (or frustrations).