1. 5 partners 5 different CV templates. Managers spend 20 40 minutes on each adaptation, up to 15 times a week. Over a year of this routine. No ready-made solutions found.
2. Healthcare professionals want AI for diagnosis, documentation, and patient care but training doesn't scale and tools feel too technical. Need a simple, clinically relevant path.
I didn't know no-shows waste 15-40% of every sales team's calendar until I met a stranger at Web Summit. I was standing by our booth when someone wandered over and started asking about what we're building at @Meet-Ting. I assumed he was just curious. Then he mentioned his company loses a lot of time to no-shows across his sales team. I asked how many. "We get 10,000 inbound demos a month." He walked off eventually, and someone came over to me and said: "Do you know who that was?".
Turns out he was the Head of Sales at a European unicorn.
We stayed in touch. And that conversation became a feature! We call it 'No Show Recovery'. Ting watches your calendar. If it notices the other person didn't show up, it asks if you want help rescheduling - automatically, inside the same thread. When you're running 10k sales calls a month and 15-40% don't show, recovering even 1-5% is hundreds of meetings saved and potential $$$s. Other lesson, talk to people as if you want and expect nothing in return.
The market has never been this crowded. AI has made it possible to go from idea to shipped product in days which means Product Hunt is now flooded with launches every single week. More products, more noise, more competition for the same front page.
So I've been thinking about this a lot: what actually separates the products that make it to the top from the ones that quietly disappear by noon?
From where I sit as a builder, here's what I genuinely believe matters:
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?
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.
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?
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).
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
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.
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?
