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We teamed up with @GoogleCloud for a Cloud Run Hackathon October 14th!

To kick things off, we're celebrating on the leaderboard so you can meet the people behind Cloud Run.

Two days out. The Google Cloud Run Hackathon is this Wednesday, October 14, and submissions close at midnight PT tomorrow.

The mechanics, one more time:
- Deploy and run your product on Google Cloud Run that's what makes you eligible
- Schedule your launch for Wednesday, October 14
- Get it in before midnight PT tomorrow

Every eligible launch picks up $50 in Google Cloud credits. Winners take $500 in credits, a spotlight on Google Cloud's own channels, and a 1:1 with the Cloud Run team.

Articos MCP launched yesterday and ended the day at #1. 327 upvotes and a wall of thoughtful comments.
For a bootstrapped team, that caught us off guard, especially in a field this strong. We launched the same day as some great teams, @opencode , @Fina @Kai, and the folks behind them, @thdxr, @clay_raterman, @jim_hartung. Good day for all of us

Big thanks to @chrismessina for hunting us again. The pre-launch calls shaped the whole thing, the story, the flow, the maker comment. Chris pushed us to lead with the actual value instead of just it s an MCP now, and that reframe is a big reason yesterday worked.

It was great launch on product hunt again, thanks to everyone for your support!

Fina Business - built for every founder like you and me.

Today we can all brag about our agents =)

Almost every product has them, everyone works with them, gives them names, and creates the specialists they need to work better and faster.

In RunEvr, we currently have two types of agents: those who help with the system and overall coordination, and those who work as creative artists.

Let me introduce some of our lovely ones!

I guess it s not just me...

We all have friends who inspire us, challenge us, and help us reach our goals. We can count them as part of our building team too =D

But alongside those friends, there are others who drain your energy, fill your brain with unnecessary info and leave you unable to continue working as you planned after meeting them!

Hey everyone! Ramiro here, CEO of Rambox.

One of the newest things in Rambox v3 is MCP support (Settings Remote Control). It lets AI assistants like Claude talk directly to Rambox and the apps you have open in it.

Road to 1,000,000 @Votap users - Day 103 | Current: 1704

I m Abbas, the founder of Palance. We build portfolio analytics for people who want to know why a portfolio did what it did, not just what it s worth today. Attribution, sensitivities, simulation, and an AI assistant for when you d rather ask than click.

I m curious how people actually use this stuff. When your portfolio jumps or drops, what do you reach for first? A breakdown of what drove it, a stress test, or a quick look and a deep breath? And what s the question you wish your portfolio tool could answer but can t? The weirder the better. Some of our best ideas started as this is probably too niche and turned out to be what everyone wanted.

You find an app that looks simpler or costs less. You try it, like it, then go back to the old one because moving your work feels like another project.

The awkward part might be:

Hi everyone, thanks for following Comcent since launch day.

Until now Comcent has been voice infrastructure. But customers don't just call. They text, and they chat on your website. Most teams end up with one provider for voice, another for SMS and another for web chat: separate bills, separate inboxes, and nobody sees the whole conversation.

Hey Product Hunt

If you first discovered EpicTopia here, you may remember our focus on planning goals and tracking progress. We wanted to share where the product is today.

EpicTopia is an AI journal built around a simple idea: Dump your mind. Meet yourself.

Start with whatever is on your mind. Say it out loud or write it down, and EpicTopia helps turn those scattered thoughts into a clear journal entry.

For us, RunEvr is the environment where we actually build RunEvr =)

For me, that s one of the most beautiful parts of having a product - using it while continuing to build and improve it.

We do our everyday calls there, share ideas, chat, store files, do reviews, complete tasks

And all of this is happening inside the same environment we re building to help other teams do exactly that!
Kind of a mirror within a mirror =D

Hey everyone! BiBimba 1.4.1 is out

Taking a screenshot is easy. Explaining what matters in it and remembering why you saved it is the part I wanted to make easier.

You can now:

• Annotate screenshots and copied images: add arrows, text, shapes, or freehand drawings. Press Ctrl+E to edit and Enter to save and copy, keeping the original untouched.

• Add titles and notes to saved items: keep a reminder of what something is and why you need it. Your notes are searchable, too.

• Let AI suggest tags from your notes: with Apple Intelligence enabled, this runs on your Mac. Tags stay small and out of the way, and you can edit them whenever you want.

We have this approach:

When something goes wrong, or you think you've failed at something, maybe it's exactly what needed to happen!

AI can draft a reply, build a small app, or run a routine task. But being able to automate something does not always mean you want to hand it over.

Sometimes doing it yourself is how you notice a problem or understand what someone actually needs.

I just walked out of the gym, and I feel ready to move mountains! =D

For a while, I gave up exercising. And yesterday, the bell rang when my teammate asked the whole team: When was the last time you did some sport?

Imagine discovering that your competitor appears in 40% of relevant AI answers while your brand appears in just 10%.

That's useful information, but it raises a bigger question: why is your competitor being recommended more often, and what can you do about it?

Making a product is one big challenge. But shifting your mindset from building to marketing it might be an even bigger one.
As makers, we spend so much time improving the product. Then comes the question: How do we get people to discover it - and ultimately turn that attention into real customers and sales?
I'm not sure traditional approaches like email marketing and constantly posting on social media are enough anymore. The way people discover products is changing.
So I'm curious:

How do you approach marketing your product?
And for the marketers here:
What would you consider a modern marketing approach in 2026-2027? What would you advise an early-stage founder to focus on?
I'd love to hear different perspectives...

What do you think about support - or have you even thought about it? =D

Do you think every product must have some kind of support?

Should it be a bot?
A human?
Email?
An AI agent?
Or all together?

In our case, with a complex workspace, I think working support is definitely a must.

Local Music Organizer 2.0 is now available for macOS!

I've just released version 2.0, bringing a completely new visual experience and important improvements for managing large local music libraries.

Introducing Glass Player

A new customizable 3D audio spectrum player featuring:

A question for SaaS founders: If someone asks ChatGPT, What s the best tool for [your category]? , does your product show up?

And more importantly, do you know how often it does?

Most founders I talk to are investing in SEO, publishing blogs, and building backlinks. But there's another discovery channel emerging that is much harder to measure: AI-generated recommendations.

Here's how I'd approach measuring it.

I m not really a person who likes sharing my everyday life online =)
That s one of the reasons I m really happy to be part of the Product Hunt community.

I like being able to stay in touch with like-minded people and have everyday conversations about things we re building, learning, and interested in.
But I understand that social media is a big part of today s lifestyle, and it s absolutely great that it gives people a way to connect, share, and find each other.

So, I m curious:

Do you have social media as a maker?

I keep running into this while building with AI: after a few sessions, I end up re-explaining the project, the decisions we made, and what changed.

How do you handle that? Do you keep a project file updated, rely on chat history, or have another system that works?

A brand might appear frequently in ChatGPT or Perplexity answers, but that doesn't necessarily mean it's being recommended as the best choice.

There's a difference between being listed among several options and being positioned as the solution a buyer should consider.