The AI tool graveyard in my dock is embarrassing. I've downloaded and abandoned more "game-changer" tools in the last year than in the previous five combined.

But a few have genuinely stuck. The ones I still use daily without thinking about it:

• Claude for anything that needs actual reasoning or long context

• - Cursor for coding - it's changed how I write code, not just sped it up

• - Perplexity for research that I'd previously just Google-and-pray

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?

For those who don't know:

• The EU has proposed a law intended to protect children from online abuse.

• But the draft includes a highly controversial measure: mandatory scanning (client-side scanning) of private communications, including encrypted ones, for child sexual abuse material.

• Experts and authorities (such as the EDPB and EDPS) warn that this kind of mandatory scanning could lead to mass surveillance through automated tools, posing a serious threat to fundamental rights like privacy and data protection.

• According to reports, 15 member states support the proposal, 6 are against it, and 6 remain undecided. The law would not apply to political officials, but it would affect the reading of communication of ordinary citizens.

Whats up with this huge upvote panel taking up half the screen lmao? (The navbar/header is also a bit big but whatev). Also your Launch Guide is messed up some of the markdown isn't rendering and the section titles show the hashtag markup ###Section title, and there isn't any line break between the title head and the content. You're ProductHunt WTH?

I d like to discuss how launch-day events and sponsored leaderboards can create fair discovery opportunities for smaller makers.

When hundreds of products launch on the same day, teams with established audiences can generate early votes and comments. For newer projects without that audience, being placed low in the leaderboard can result in very little organic visibility. In my case, my launch received only three click-throughs to my website from Product Hunt over most of the day.

OpenAI Day stated that five standout launches would receive $10k in API credits. A few days after the event, I still have not seen a public announcement of the winners or an explanation of how they will be selected. Is there a published update or timeline that I may have missed?

Would mechanisms such as rotating featured projects, category-based discovery, or a separate editorial/judged track make future events more useful for smaller teams?

I spend a lot more time on PH at the moment to see what indepedent makers are spending their time on. I've noticed some patterns and also want to share a little bit about my journey at South Park Commons. Most startup stories begin at zero when there s already a team, an idea, maybe even a prototype. But at South Park Commons (SPC), the philosophy is different: people gather in the -1 to 0 stage. That liminal space where you don t yet know what you re building or even if you should build at all. It s a place for exploration, experimentation, and being brutally honest about what s working and what s not.

A hallmark of SPC is how often industry leaders drop by to share what they ve learned in the wild. Recently, I was in a small chat with Tyler Payne former Google and LinkedIn AI lead, startup builder, who has spent the last decade helping teams actually ship real-world ML systems. We're always talking about what's being launched at SPC.

Everyone s been talking about AI Agents over the past year.

But the real leverage doesn t come from the agent itself. It comes from the context you provide:

I've sat on both sides of a lot of interviews and some questions still puzzle me.

"Are you a leader or a follower?" is my pick. It's a false binary with an obvious right answer, so nobody says "follower" and the interviewer learns nothing. Good people are both depending on the situation, which is the one answer the question doesn't leave room for.

Curious what other people have run into. The ones with no right answer, the brainteasers that measured nothing, the questions that only tested how well you'd rehearsed. Or the opposite, if you've ever been asked something genuinely good that told them something real about you.