Connect with the Product Hunt community

If you re still sitting on your launch, this is the push.

YC made a special exception for this community: one or more companies that launch tomorrow will get a YC interview and potentially funding. A YC partner will review every eligible launch.

tldr: yes. Shoutouts are one of the simplest distribution levers on Product Hunt.

Shoutouts are meant to pay it forward and highlight the tools that helped you build. But beyond goodwill, they create durable distribution for your product on Product Hunt and across LLM driven discovery.

When you shout out a product during launch, it becomes a founder review on that product s page. Founder reviews sit above regular reviews and include a link to both your profile and your product. That means your product is now attached to every future visit to that product s review page, long after launch day. For example, check out @timliao s shoutout of @Framer or @guymanzur s shoutout of @Base44

Let me start from the creator s perspective:
I personally don t have a product (apart from hiring people for creative work or offering personal consultations).

But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

There are so many launches on Product Hunt every day. How do you decide which ones are worth clicking into?

What s your #1 filter or shortcut?

AI agents are increasingly making real decisions in businesses. They qualify leads, respond to customers, analyze data, and sometimes trigger actions that affect revenue or customer experience. As these systems move from suggesting to actually deciding, mistakes become inevitable.

When that happens, responsibility becomes unclear. The user configured the system, the company built the product, and the underlying models often come from another provider. If an AI agent makes the wrong call and it impacts a customer or revenue, where should accountability actually sit?

Curious how others are thinking about this. Who should be responsible in such cases, and are there any legal guidelines or draft regulations emerging around this?

TL;DR: Anthropic refused to sign a contract with the Pentagon that would have allowed the U.S. military to use all of its models without restrictions. Anthropic insisted on an exception, and brace yourself, that its models cannot be used: 1) for mass surveillance of citizens, 2) for autonomous killing. Now the administration is threatening that if the founder of Anthropic doesn't change his mind by a certain date, they will come after him.

Google, OpenAI, and Musk (Grok) have all signed the contract.

Following Sam Altman's announcement over the past few hours, people have been speaking out massively about cancelling their OpenAI subscriptions and subscribing to Claude.

You built something remarkable.

The code works. The design sings. Customers who find you, love you.

But here's the problem AI will never just know.

Unlike Google, which crawls everything and figures it out eventually, AI learns from patterns. And if your product doesn't fit those patterns, you simply don't exist.

I am a Computer Science student doing research into how solopreneurs and small startups create new apps and what their stack looks like. Particularly, I'm interested in how you handle things like authentication, billing, and permissions/authorization in your apps.

Let me know what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it!

Most people are using AI wrong and I was one of them.

For the first year, I used AI like a fancy Google. "Write me a product description." "Summarize this." "Give me 10 ideas for X." Useful? Sure. Transformative? Not really.

According to @RevenueCat 's State of Subscription Apps 2026 report, "hard paywalls convert 5x better than freemium, but with significantly wider variance."

Day 35 download-to-paid, freemium vs. hard paywall

Does access method impact download-to-paid conversion within 35 days?

I recently saw a marketer with 10k+ followers launch and finish 6th with 348 upvotes. They followed a proper pre-launch and post-launch plan, did everything right, and still the outcome felt unpredictable.

Now I m launching @Curatora next week.

I m not a marketer. I have a little over 1k followers. Of course, asking for support helps. But I also keep hearing that a large part of the Product Hunt community shows up mainly for their own launch, then goes quiet until the next one.

That makes me wonder: how much of success here is strategy, and how much is timing and network effect?

As usual, Y Combinator came up with segments that are worth investing:

1. Cursor for Product Managers
2. AI-Native Hedge Funds
3. AI-Native Agencies
4. Stablecoin Financial Services
5. AI for Government
6. Modern Metal Mills
7. AI Guidance for Physical Work 8. Large Spatial Models 9. Infra for Government Fraud Hunters 10. Make LLMs Easy to Train

Cencurity progress update:
IDE extensions (VS Code / Cursor) in progress
Team SaaS version ready, waiting for payment API approval
Community version updated on GitHub yesterday (security hardening + proxy improvements)
Next step: real developer adoption.
Community version:https://github.com/cencurity/cen...

New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.

Curious what the community recommends for coding tasks? Any preferences?

If you're a product owner, founder, or builder reading this, I want to talk about something that's costing you money right now.

You probably don't know it's happening.

Here's what I've learned after analyzing 500+ SaaS products, tools, and digital products at Rankfender.

The Mistake

I understand that everyone comes here with the hope of winning the Product of the Day award (at least one of the top three spots).

But so what does that mean for you?

Are you going to sell more products/subscriptions?

If I'm being honest, I'm online (and on PC in general) more than is healthy. Never less than 12 to 14 hours a day.

In practice, I use it most often for:

creating graphics

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 been building Naoma for over a year. Pivoted from a sales analytics platform, rewrote the product from scratch, ran pilots, iterated, broke things, fixed them.

Tomorrow we launch on Product Hunt.

The idea is simple: B2B buyers shouldn't have to wait 5 days to see your product. Naoma runs a live AI demo the moment they click qualifies them, walks through the product, routes the right leads to sales or checkout. No scheduling. No waiting.

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:

A story and an experiment have been spreading on X: Scientists uploaded the brain of a fruit fly into a computer, and now it lives freely in its own simulation.

We managed to clone the physical form of animals more than 30 years ago (for example, the cloning of a goat using SCNT in 1999). There was even a controversial case in China where a scientist was sued after attempting to create gene-edited babies in 2018.

Shipped another update today. Two things people asked for, one thing I should have caught earlier, and one quiet fix.

The embarrassing one first:

Voice cloning could silently fail. If you hadn't downloaded the Expressive engine model yet, the cloning process would run, appear to finish successfully, even show engine badges on the card. But the cloned voice wouldn't actually work. It looked fine. It wasn't.

Discord notifications were already there, but Discord has strict rate limits. So, not suitable for conversations.

You can now use Telegram too

1. connect a Telegram bot to your widget (Dashboard Settings)

2. you receive all messages sent in the chat room

3. reply to them directly from Telegram (quote replies work too)

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