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.

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

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.

Road to 1,000,000 #Votap users Day 48 | Current: 1231

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 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.

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!

Hi guys,

I've just migrated floors.js from Render to a VPS, which means:

• up 24/7, no cold start anymore

• 100 400 visitors live, per site

• more memory + total access = more possibilities

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 think before I faced it myself, I didn't consider that all of us have different parts of our lives we need an editor for, and while sharing can work well for some, sometimes, you need a separate space entirely. Thus, profiles are here!

prosaic --profile <> # lets you create a new profile

Hey Product Hunt fam! We're pumped to share that Intrascope, our shared AI workspace for teams, is now enterprise-grade. Say goodbye to AI chaos and hello to secure, scalable collaboration.

Key highlights:

• Ironclad Security: On-premise/private cloud, SSO, 2FA, encryption, audit logs GDPR-compliant to protect your data.

• Smart Cost Control: Multi-model routing (GPT, Claude, Gemini, etc.) with usage analytics per user/team/project no more surprise bills.

• Effortless Teamwork: Shared manifests, project chats, and custom integrations (n8n, API) for seamless workflows in marketing, sales, and ops.

• Admin Power: Role-based access, unlimited users, and 24/7 support for full control.

Thrilled that our first enterprise pilot client starts integrating by week's end their input will made us even better!
Share your AI pains 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

Today I m excited to launch Phia 3.0. This is the biggest update yet.

Phia is a native macOS screen recording app designed to turn raw recordings into polished, cinematic videos without the complexity of traditional editing software.

Version 3.0 introduces major improvements across voice, audio control, performance, and overall workflow.

AI and Microphone Voiceovers

Building a team or want to join a startup? Let's kick 2026 off to a great start.

Founders, teams, and startups drop a comment if you're hiring.

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?

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

I ve had a lot of conversations lately, and there s one pattern that keeps showing up.
You launch. Signups roll in. Everything feels great.
But as the product grows, pricing becomes a mess.
More complexity. Harder to manage. And suddenly, you're stuck.

Do you double down on the product or stop and figure out pricing?

For most teams, it becomes one of two paths:
Path 1: You treat pricing like a product. Features, tiers, plans, discounts it becomes its own development cycle.
Path 2: You and your team scribble numbers into a spreadsheet and hope it works.

Neither scales.

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.

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.

Hey, friends!
We've posted 5 new problems. Especially check out problem #4 (first I laughed, then I thought about it, and then I posted it ).
1. Nigeria's transport trap: Uber/Bolt too expensive, okada too deadly, Danfo buses a nightmare. Millions need safe, affordable carpooling. Ready to pay.

2. Photographer loses 20 30% of clients to spam needs an AI clone with a copy of her voice to answer calls and book sessions.
3. Voice control for AI coding breaks when I change my mind mid-sentence. Need an AI intermediary that cleans up prompts through conversation before sending.

4. Need a smart device that automatically detects pigeons and permanently deters them. Everything on the market only works temporarily.

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.

700,000 people have quit ChatGPT in the past few weeks. Political backlash, ethical concerns over ICE using GPT-4, and a drop in product quality are all driving a massive wave of switching.

Most are landing on Claude. Some on Gemini. Many on both.

But every single one hits the same wall: how do you move your context?

All the preferences, projects, and workflows built up over months or years stay locked inside the old platform. The new one has no idea who you are.

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.