Connect with the Product Hunt community

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

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.

3-second smartphone scan no hardware, scanners, or setup required
40+ precise body measurements automatically generated
Body composition insights including lean mass, body fat, and bone mineral content comparable to lab-based systems
Growth and maturation modeling to help understand athlete development trajectories
Longitudinal tracking to monitor physical changes over time
Hyper-realistic 3D avatars that can be used for visualization, athlete education, and digital applications

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.

From the time Termsy was launched, I've made a lot of small updates to the extension.

Thought I'll share them here.

1. It now has a quick answers tab, that helps you understand terms in plain English. Simple yes/no answers to things that actually matter: who owns your data, auto-renewal, cancellation fees, account termination, binding arbitration, and whether you can sue. These are color coded as well, green for user-favourable and red for now

2. It also has a dark patterns tab, which is still in beta, but helps you understand if there are any dark patterns used on the page (things like a urgency timer, hidden opt-outs, confirmshaming, hidden costs and more)

3. Termsy icon on the extension bar has improved, it's greyed out by default but if you land on a ToS page, privacy policy or sign-up pages, it lights up.

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.

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

If you followed Naoma a year ago, you knew us as a sales conversation analytics tool. We connected to your CRM, analyzed rep calls, and surfaced patterns from top performers so the rest of the team could learn from them.

It worked. Teams liked the insights.

But we kept noticing the same thing: the real bottleneck wasn't after the demo. It was getting to the demo in the first place and what happened in those first few minutes before a rep ever joined.

Qualified buyers were waiting 3 6 days for a demo slot. Many dropped off. The ones who showed up often hadn't been properly qualified. Sales reps were spending half their week running intro demos for people who were never a fit.

Hey Product Hunt!

Ujjwal here. It s been a little over a month since BrainLoom (The Local-First Learning OS) hit #2 Product of the Day. I haven't slept much since!

The feedback from this community has been the driving force behind the roadmap. You asked for more speed, more AI freedom, and less friction.

Today, I'm dropping v1.0.3: The "Command & Control" Update.

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!

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?

box . ' .
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______________________________ .
Imagine: You're deep into a technical doc. Three browser tabs open. A Wikipedia article on one, an API reference on another, a blog post explaining a workaround on the third.

You find exactly what you need.

Today we re shipping Streaming!

A faster, smoother way to get AI responses.

Video here

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

Turns out, professionals can turn their real workflows into runnable AI systems. We call them Playbooks.

And since our launch, people have already shipped some seriously cool stuff:

Growth strategy execution

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.

I noticed that my Spotify @Raycast extension had stopped working and discovered that Spotify clamped down on its platform as of last month:

Over time, advances in automation and AI have fundamentally altered the usage patterns and risk profile of developer access, and at Spotify's current scale these risks now require more structured controls.

In response, we are making changes to Spotify for Developers to better protect creators, partners, listeners and the platform. These updates build on changes we've implemented in the past, including the introduction of developer modes, refining access for WebAPI endpoints, introducing new extended quota mode criteria, as well as deprecating outdated OAuth flows.

Thus if you notice other Spotify-based products not working correctly... you might see if it's because of this.

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?

We're constantly looking for ways to reduce the pain and cognitive load of managing your calendar.

We started with something simple: CC Ting in an email and it schedules the meeting for you.

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

We launched Rankfender 48 hours ago, and the response has been overwhelming. Thank you to everyone who checked us out, upvoted, and shared feedback!

One question kept coming up: "How do I actually win in AI search?"

So I dug into our data. Rankfender has now tracked over 50,000 AI-generated answers across ChatGPT, Google SGE, Perplexity, and Gemini. We've analyzed millions of citations, thousands of brands, and hundreds of industries.

Here's what we learned and what it means for your business.

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.

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.

When we launched Starnus our competitors were charging $100+/month. So we thought let's undercut them. Start at $20. Make it a no brainer.

Signups were great. Payments? Almost zero.

Here's what actually changed our MRR:

1. Cheap pricing kills trust

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.