Connect with the Product Hunt community

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.

I've noticed a trend where CEOs of well-known companies are investing more in their personal brands on LinkedIn and X.

However, the level is increasing, and they want something similar from employees.

Hey Product Hunt! We launched Concipe earlier this month to help teams turn scattered feedback into buildable specs you can use with CLI Agents and AI Code editors such as Claude and Cursor.

Since then, one question kept coming up: How strong is the evidence behind an opportunity?

So we shipped a few updates to make that clearer.

Every opportunity now shows an Evidence Score from 0 to 100. You can see how many unique voices mentioned it, which sources it came from, sentiment breakdown, and which customer tier is asking.

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.

With AI bots getting harder to detect, there s been growing discussion around platforms using biometric verification (like face scans) to confirm real users.

Cool in theory... Reddit is full of bots, fake accounts and garbage engagement. But let s be real

Reddit without anonymity isn t Reddit.

I've been going through hell for the last month. I was banned from LinkedIn for excessive activity.

• For 24 hours

• For 48 hours

• For 72 hours

• For 168 hours - currently waiting until Tuesday, 10 PM CET.

The only useful advice I've received from support is to be less active.

Last month, I did something that felt slightly insane.

I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor. Better features, better positioning, better everything. I told it to be ruthless.

It did!

The output was polished. Confident. Structured like a real go-to-market plan. It named features we don t have. It positioned itself against us. It looked like a threat on paper.

hi everyone! blown away by the response here, thank you for 110 upvotes and a bunch of thoughtful comments

a few features were asked for, that I will be actively working on -

based on your feedback:

When we started building Murror, I made the same mistake most AI founders make: I marketed the technology.

"Powered by AI." "Smart algorithms." "Personalized insights." All the buzzwords. And you know what happened? Crickets.

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?

Road to 1,000,000 #Votap users Day 57 | Current: 1286

Testing between the two - would love to know your thoughts!

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!

Hey all,

I wrote a forum post not long ago on marketing as one of the rising in importance hires for all startups. This is all the things we've done, with some results and free resources.

Meow world, welcome back to The Breakpoint, a weekly thread on all things dev tools on Product Hunt.

The latest

Recent dev-first products launched on the site

Out of a couple hundred launches, that s honestly surreal. Huge thank you to everyone who supported, upvoted, commented, and shared, it really means a lot.

Big takeaway: building is only half the game, distribution, marketing, and timing matter just as much.

Now back to improving Embedful and doubling down on getting it in front of more people.

Last week Garry Tan (CEO of Y Combinator) shared his entire Claude Code setup on GitHub and called it "god mode."

He's sleeping 4 hours a night. Running 10 AI workers across 3 projects simultaneously. And openly saying he rebuilt a startup that once took $10M and 10 people. Alone, with agents.

I was on a call with a founder and they asked me to turn on my camera on Google Meet.

I said no citing that they have brought in the call recorder without my consent. I consent for voice recording and summarizing, not video capture.

We surveyed 3,000 B2B buyers who used AI assistants (ChatGPT, Perplexity, Gemini) in their last vendor selection process.

The goal was simple: find out exactly what they asked and what actually influenced their shortlist.

The results reveal a massive gap between how companies market themselves and how buyers actually discover them through AI.

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

Hi everyone   

For a long time, the cybersecurity community has been stuck in a cycle that feels increasingly broken. We have incredible tools for Web App and API pentesting that can scan thousands of endpoints in minutes, yet security teams are more overwhelmed than ever.

The problem isn't a lack of data; it s a noise problem.
If you ve spent any time in AppSec, you know the drill: you run a scan, and you re handed a massive list of "potential" vulnerabilities. Most of these turn out to be theoretical risks or outright false positives.

So teams end up stuck between two imperfect options:
 Automated security tools that are fast but noisy, or manual pentesting that is deep but impossible to scale.

Most AI visibility tools show you a dashboard. They tell you where you're invisible. They show you competitors winning.

Then what?

You stare at the screen, knowing there's a gap, but no idea how to close it.

When we were building Murror, we spent months perfecting our AI emotion analysis engine. Deep NLP pipelines, sentiment layers, the whole thing. We were so proud of it.

Then we launched, and you know what users kept telling us they loved? The simple daily check-in prompt. A single question that asks "How are you feeling right now?" before showing them anything else.