Connect with the Product Hunt community

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.

As an ad blocker developer, I often question if it s wrong to block advertising. What ads should be blocked? What ads shouldn t be blocked? If you use a service or view a website, when is it ok to block their ads and when isn't it?

To answer this, I think the question should first be:

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

Hey Product Hunt! Eduardo here

Two weeks ago we launched Seagull: real-time translation subtitles for your desktop. The response blew us away.

Today we're back with the feature we've been most excited about: Conversation Mode.

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.

Last chance to grab 500 bonus credits by joining our waitlist!

Visit our website and create high-quality videos with full scene-to-scene consistency.

Bring the idea - Vertical Motion will do the heavy lifting!
Sign up to Motion:
https://motion.verticalstudio.ai/

We re excited to announce that SendrAI 2.0 has just landed, rebuilt from the ground up to make outreach faster, smarter and easier than ever.
Use SendrAI to immediately find live signals, research, lead scoring and enrichments - from simple natural language input.

Check out a glimpse of SendrAI in action here:

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.

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?

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!

We just published a new case study on Cartly, an iOS app that uses Mnexium to power a full receipt-tracking AI workflow. We really wanted to see what it would take to get a demo like this up and running.

In the post, we walk through how Cartly uses:

• Memory for user preferences and continuity

• Records for structured receipts and receipt_items storage

• A single mnx runtime object to control identity, history, recall, and record sync

• Request trace packets for auditability and debugging in production

You can now use @Pretty Prompt on @Lovable, @v0 by Vercel, @Base44, @bolt.new, @Typing Mind, @Grok, Max AI, NinjaTools, OpenRouter, @Manus, @Merlin 2.0, @Monica, Z AI, @Greta , ChatGPT, Gemini, Claude, Perplexity.

Let me know if you've got any other integration requests!

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

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

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?

When we launched Sway, it was simple:

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.

The modern sales stack is a mess.

Apollo, Lemlist, Clay, Phantombuster, Dropcontact, Smartlead, a CRM. That's 6-8 tools, $500-1k/month, and 20+ hours/week just to operate them.

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.

Just a few days to go

ZeroThreat is getting ready to introduce ZeroThreat 3.0: Agentic AI Pentesting, a new layer designed to move beyond vulnerability detection into real exploit validation. 

This isn t just another automated scan. 

Two conversations. Same week.

First founder said,
Really interesting product. Love what you re building.

Great energy. Smart questions. Strong validation.

We never heard back.

At the beginning of the year, 2 co-founders reached out to me because they wanted to scale their personal LinkedIn profiles. The reason: In a few months, they re planning to raise funding and believe their personal brand could help.

A few days ago, another founder contacted me with a similar intention, although he s not planning to raise funding. For him, LinkedIn has become the platform that generates the most leads. He doesn t particularly enjoy the network itself, but he still wants to keep building it.

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:

Saw Aravind's post yesterday about Perplexity's new computer.

Got me thinking: we launched Happycapy - the 1st agent-native computer here on Feb 11 (beta was Jan 27). Grateful @rajiv_ayyangar and the PH community witnessed it from the start.

First of all, I want to thank you for voting for us in yesterday's launch - you still can, the week is not over. HERE

Second thing, I summarised some things that I realised, reflected on, and maybe should have known sooner: