Hi all,

I thought it might be useful for some to hear our experience launching on Product Hunt. How we prepared, what happened during launch day, and what results we re seeing five days in.

I know it sounds almost cringe,

but I recently came across an article describing how someone used Claude Code to access robot vacuum devices across 24 countries and potentially observe their environments.

Single clips are easy now. Kling, Runway, Minimax can turn one prompt into a great shot in minutes.

But when you try to build something longer, a 30 90 second story, a multi-scene ad, a short narrative, the same problem shows up almost every time.

Part of my job in growth at Clueso is talking to Marketers, PMs, customer success managers, solo founders building in public.

And over time, one pattern kept showing up that I genuinely didn't expect.

Hey Product Hunters

We're back. And this time, with a much sharper focus.

When we first launched @Curatora , it was a content discovery and publishing tool. Over time, one thing became very clear from user conversations.

Publishing was not the hard part.
Finding strong, timely content ideas was.

A couple weeks ago, Boris Cherny (the creator of Claude Code) shared a bunch of really useful tips on getting the most out of Claude Code. #1 at the top of the list: do more in parallel. He himself runs 10-15 Claude codes in parallel.

His advice and practice makes sense: coding agents give us the ability scale infinitely. At this point, the only real limiter is our own ability to manage all of these agents.

We've been running ToggleX on our own setup for weeks. Here's what it actually produces no mockups, all real data.

• Morning Briefing agent pulls yesterday's Toggle data and tells you exactly what's unfinished before you start anything new. No prompt needed.

• Daily Telemetry 4h 20m across 6 sessions, focus score 87, deepest session 1h 48m on ToggleX skill config. Still-open items surfaced automatically.

• Personal Insights the uncomfortable one. You said fitness was a priority. Toggle logged 12 minutes of fitness browsing this week. Your "research" sessions average 4 minutes before switching. Time doesn't lie.

This is what your agent can do when it actually knows what you've been working on.

Install: clawhub.ai/aleksandar-jive/toggle

I posted a random thread on X about the cost of living in the Netherlands. Nothing about what we're building. Just genuine thoughts about life in the Netherlands.

It hit 1M+ impressions. And here's the weird part we got a ton of signups and paid users for Starnus from it. Without ever mentioning the product.

Meanwhile, my "here's what Starnus does" posts? Way less engagement.

This genuinely messed with my head. I'm sharing the actual X post below

When I first started, I believed that as long as I built a great product, it would naturally become popular. But as I zoomed out, I realized the market is incredibly competitive. Having a good product alone isn t enough to truly convince users.

That s when I began building my presence on social media creating content about myself, sharing my journey, and talking about the product I m building. I ve come to see this as a very effective way to build trust and spark genuine interest not only in what I make, but also in who I am as a founder.

Product Hunt is best known for its homepage, a daily leaderboard of the most creative and innovative products on the internet. Makers go all out to win launch day, because that visibility matters. Product Hunt also plays a significant role in how products appear in Google search results.

What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations.

We've surpassed the singularity.

Here's an MCP server that lets you talk to Claude Code from anywhere you can negotiate a WebRTC connection (or make a phone call):

https://github.com/pipecat-ai/pi...

Here's an MCP server that lets you talk to Claude Code from anywhere you can negotiate a WebRTC connection (or make a phone call):

https://github.com/pipecat-ai/pi...

Hey everyone,

I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market.
That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.

In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.

For those of you building AI or compute-intensive tools:

Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.

So here is my structure and list: