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Running a curated 20-person AI hackathon in Madrid, what actually makes these work?

We're running a one-day AI hackathon in Madrid on Saturday Sept 12. Deliberately small: 20 curated spots, engineers and founders, individual format, something working by the end of the day. Then food and beers while people demo.

The plan is to repeat it every month or so, so I care more about getting the format right than about this one edition.

Two things I keep going back and forth on:

Individual vs teams. Individual means everyone ships something and nobody hides. Teams mean more ambitious projects but a worse experience for whoever gets the bad group. I've landed on individual for a one-day format, but I'm not sure.

New feature launch: Scribe our onsite writing agent

If you caught the Conversation Radar post, you know the premise: AI engines cite people talking about brands, so we built a radar for those conversations.

But there's a second half to AI visibility, and it's the one brands keep asking us about: the content you publish yourself.

Here's the honest version. Owned content works harder to earn a citation than third-party content does. We've tracked 13,000+ citations across ChatGPT, Perplexity, Gemini, Copilot, and Claude, and brand articles DO show up in that set. The ones that do share a shape: they answer one specific query head-on, they carry real facts, and they cover the query from multiple angles, not one post.

How does the PH homepage algorithm actually balance the sheer volume of daily launches?

Hey Product Hunt community,

With hundreds of products launching every single day, I ve been trying to understand the underlying architecture of homepage visibility and traffic distribution.

As a maker, when you launch a product, you often notice it doesn't always appear directly on the main featured feed for every visitor or on every device/browser.

This got me curious about how the platform balances fairness vs. algorithmic curation:

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