It is a question of choosing between two evils for us now. Neither option is completely free of flaws.

Human: Recruiters with "gut feelings" who harbor unconscious bias. they reject excellent candidates who just didn't go to the "right" school or didn't just "click." Inconsistent, unfair, and un-auditable.

AI: Algorithms whose training datasets are themselves replete with historical biases. They increase the scale of discrimination at light speed, becoming so-called black boxes that end up rejecting qualified candidates for reasons that humans cannot even fathom.

We are truly deciding to exchange messy, subjective human prejudice for cold, ruthlessly efficient algorithmic prejudice. Is that really an upgrade?

It will sound like something from prehistoric times, but in my country, the vast majority of employers give women lower salaries than men. Fortunately, I don't feel it that much because I work with foreign clients, but I don't think it's fair.

(But we probably all know why this is the case less is invested in women, because it is expected that they will go on maternity leave one day and therefore have no prospect of staying in the job longer compared to men, where the continuity of work is higher)

There are two types of people (more or less):

1/ The ultra-planners. hey schedule everything down to the minute, know who they re meeting three months from now, and already have their 2027 summer vacation mapped out.

Personally, I believe (and still stand by it) that there are no shortcuts to success, only well-thought-out and applied tactics.

What marketing tactics for a successful product hunt launch have worked for you or grabbed your attention immediately?

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).

Vibe coding tools have been making huge improvements, but things can always get better.

What blockers are you still running into? What has no one solved yet? What do you wish you could do, but can't yet?

If you're applying, reply below with what you're building so we can cheer you on!

If you're doing a startup and not applying, why aren't you applying?

If you're applying, reply below with what you're building so we can cheer you on!

If you're doing a startup and not applying, why aren't you applying?