Connect with the Product Hunt community

Product Hunt has teamed up with OpenAI Developers to launch the GPT-6 Astra Challenge!
@OpenAI's GPT-6 Astra is built for complex, multi-step work from software engineering and research to workflows that require judgment and follow-through.
Build something useful with Astra, launch it on Product Hunt, and compete for API credits and ChatGPT Pro subscriptions.
If you re already building with Astra, this is a chance to share what you ve made and put it in front of a wider audience. You can schedule your launch for Friday, September 18.
Here's everything you need to get started:

• Schedule your launch: https://www.producthunt.com/cont...

• GPT-6 Astra Challenge Launch Guide: https://producthunt.s.gy/forum-a...

• GPT-6 Astra Model Guide: https://developers.openai.com/ap...

• GPT-6 Astra API Docs: https://developers.openai.com/ap...

• OpenAI Demo Showcase: https://developers.openai.com/sh...

• OpenAI Discord: https://discord.gg/openai

This is the perfect time to actually build on those crazy ideas you've been sitting on.... or resurrect one of your "ongoing" side projects.

Hi everyone, Matheus here, Toone's maker. We're preparing our next Product Hunt launch for September 18

Toone is a macOS app for crafting complex AI workflow automations and routines with natural language. I'd like to hear from people who want to try one small routine and share candid feedback.

If you're interested, share the task you repeat, the inputs you'd start with, and what a useful result would look like. Pick something you can check yourself so we can see where the routine helps and where it falls short.

I can help arrange access individually, though I can't promise immediate availability.
Thank you and see you by then PH

Because building products has become much more accessible thanks to AI, the bar has had to rise a bit, or at least the expectations have become stricter.

I built my own tool  SafeLimit, but personally, I wouldn t launch it on Product Hunt yet because it s still very basic and doesn t even have a website.

AI is great at producing a first landing-page draft. The last mile is still human: make the promise specific, make the CTA match the next action, remove repeated filler, add a link or table only when it helps a visitor decide, preview the whole page, and export the reviewed HTML.

HtmlDrag gives teams a visual working copy for that focused pass. Keep the HTML that already works instead of restarting the page because one visible decision needs correction.

I recently saw a reel where a girl was recording a Skill with Claude to find newly posted real-estate apartments every day.

She had specific filters - location, price, etc. and Claude would go through the new listings, find the ones that matched, collect all the relevant information, and create a spreadsheet with the results every day.

For solo makers, wearing every hat is almost unavoidable - developer, marketer, support, product and often designer too.

AI makes this even easier now. You can generate UI pretty quickly, but a lot of products end up relying on consistent, polished AI-generated solutions rather than something truly unique or thoughtfully designed for their specific product.

So I m curious:

Do you design the UI/UX yourself when building solo?

Sometimes it takes 30 seconds.

Sometimes 5 10 minutes.

You ve already checked Slack, replied to emails, reviewed your tasks

In every community, we naturally find people we love to communicate with, interact with, or simply follow.

From my very first day on Product Hunt, some people became little lighthouses for me here.

The moment I signed up, I noticed @busmark_w_nika and her threads. She became one of those people I always enjoy following here.

Then came @amraniyasser and @bengeekly .
And that was only my first day =D

And again the pricing plan =D

Let s discuss the serious side of product growth.

At first, it seems easy: set some prices, create a few plans, and start selling your product.

But when the time actually comes, a ton of questions appear...

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...

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?

Two months ago I asked here how people stay aware of what their agents are doing, and @getosmo replied with something that has been quietly rearranging my roadmap since.

I had been treating "can you undo it" as the line for when an agent should stop and ask. He took that apart. Irreversibility over-fires and under-fires, he said. It over-fires on things that cannot be undone but that nobody cares about, like the agent writing a log line. It under-fires on the ones that really hurt: a mass email to 50k users, or a migration you can only roll back after downtime. "Reversible on paper, ruinous in practice."

In the first half of 2026, 3,869 products shipped on Product Hunt. We ran the whole stream through LinkedIn and Crunchbase to see what people launch, who the founders are, where they came from and what actually improves your odds.

Part 1. The landscape: the AI wave and the dilution of attention

When you're a first-time founder/maker, and you're the only person using your own product, you probably overlook important things. That's why you need to test the product with as many people as possible.

The problem is that time is limited. You have to decide not only how many people will test it, but also who those people should be.

Loqua is LIVE on Product Hunt today, and welcome to the family!
AI keeps getting smarter yet using it feels more tiring: prompting, switching apps, screenshotting, explaining context again and again. Often the problem isn't the AI; it's that we still have to learn how to talk to it.
So we built more than better voice typing. Just say what you want, and Loqua understands your app, screen, language, and tone dictate in Gmail, ask about a chart you're looking at, tell Codex or Claude Code what to change, set reminders, open apps, or have a page read aloud.
We believe voice agents are a necessary path to AGI and a core part of physical AI. As a model-first team, Loqua is our first step: our own multimodal model for better transcription, translation, and multimodal Q&A, with deeper agentic, long-horizon abilities rolling out.
If this resonates, we'd love your support
An upvote unlocks a promo code, and sharing earns extra days. Try it and tell us what you'd want it to do next.
Upvote & try Loqua:
[Website link]: https://theloqua.ai/
[Product Hunt link]: https://www.producthunt.com/prod...

We recently launched the Causo Hub, a free collection of fundraising + GTM resources for founders.

One of the things we just added is an accelerator deadline tracker:

https://hub.causo.ai/deadlines

The idea is pretty simple: instead of finding a random article from 2024 saying applications are "open", we try to keep the actual upcoming cohorts and deadlines in one place, together with the stuff you need to know before wasting an hour on an application.

We keep talking about AI agent costs as: model price tokens requests

But agentic systems add another cost: uncontrolled execution.

• An agent retries a tool 5 times.

• Calls an expensive model when a cheaper one would work.

• Loops through unnecessary steps. Hits APIs it didn't need.

• Delegates work to another agent.

I understand that hunting has traditionally been seen as a man's thing.

But Product Hunting is a completely different thing =)

There are so many women makers, marketers, designers, and developers on PH. I ve met and interacted with quite a few of them.

But when I look at the top hunters

Six months ago, we launched Naoma on Product Hunt.

You made us #1 Product of the Day and then #1 Product of the Month in Marketing.

Since then, we ve been watching people use the product, talking to customers, and learning what an AI demo agent actually needs to replace the first part of a sales conversation.

On Monday, we re launching Naoma V2.

We re giving agents access to APIs, databases, CRMs, payments and internal systems.

But something feels missing.

We can observe what an agent did.
We can evaluate whether it was right.
We can detect a policy violation.

For us it was definitely Claude max

Guys, as i said we will be always transparent, after months and months and building, i got this stripe notification !
It's a small milestone but it means a lot for us !
We aim 10k by the end of the year !

Voice agents should become more than transcription tools. Instead of simply turning speech into text, they should understand what users are trying to achieve. The same spoken idea may need to become a short Slack message, a detailed email, a technical issue, or a personal note. A useful voice agent should adapt automatically.
This is the direction Loqua is exploring: voice as an intelligent layer across the apps people already use. It can understand the current application, nearby content, personal vocabulary, and writing style, then shape spoken thoughts into something ready to use. Users should be able to speak naturally without organizing every sentence beforehand.

The next step is real-time duplex conversation. A good agent should know when someone has finished speaking, when they are only pausing, and when they want to interrupt. It should also recognize signals beyond words, such as emotion, hesitation, emphasis, and tone. Its own voice should feel equally natural, expressive, and appropriate to the situation.

Behind this conversation, the agent needs deeper capabilities. It should remember relevant context, think through difficult requests, use tools, and continue working after the conversation moves on. The voice experience remains fast and fluid, while more complex reasoning happens quietly in the background.
We all know that long-horizon coding tasks are difficult, but understanding long, multi-turn conversations is even harder. The agent must remain consistent, respond with the right emotion, use tools correctly, and remember what matters.

Spent way too long this week watching devs debug Paddle billing issues that never reproduced locally.

The pattern keeps repeating: subscription.activated arriving before subscription.created in prod, about 30% of the time. Handlers look clean, pass unit tests, handle retries correctly. But they assume events arrive in order. Paddle's sandbox just doesn't reproduce that chaos.

Founders launch on @producthunt with one goal: Rank as high as possible, but the first question should be: what is your launch objective?

Maybe your goal is to:
Test an idea and see if there s real interest

• Get more traffic

• Get new users

• Increase conversions

• Get feedback

• Make people try your free plan

• Get your first paying customers

• Build awareness around your product

• Get backlinks ...

Depending on your goal, the way you prepare your launch and how you measure if it was successful can be completely different.
For those who launched on Product Hunt: what was your main goal, and did you achieve it?