Hello Product Hunt! We are thinking of spinning up topic specific, weekly digest newsletters that break up the firehose of goodness that is the Product Hunt leaderboard. What topics would you subscribe to? Who would you like to see sponsor these newsletters?

Here is an early prototype of what an AI Agent Digest newsletter might look like: https://gist.github.com/kerzhner...

If you re launching today, the leaderboard is about to get a lot more interesting.

We are running a Randomized Day to give products launching more of an opportunity to get seen!

The Mechanics

To level the playing field, we are cycling the homepage layout throughout the day:
The Loop: This cycle repeats every 30 minutes, all day long.

If you re launching today, the leaderboard is about to get a lot more interesting.

We are running a Randomized Day to give products launching more of an opportunity to get seen!

The Mechanics

To level the playing field, we are cycling the homepage layout throughout the day:
The Loop: This cycle repeats every 30 minutes, all day long.

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.

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

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

Anthropic announced last week a new round of fundings:

• $30B in Series G funding

• $380B valuation

• $14B run-rate revenue

• 10X growth YoY

For @Claude Code only - launched in May 2025:

In my last post, we talked about how video workflows are evolving.

Zooming out, I ve been thinking about something bigger.

After our first launch on Product Hunt, our team spent a little over a month upgrading the product. There were major changes to the UI and several new features added, so the process took time from discussions and redesigning the interface to testing, fixing bugs, and updating AI prompts.

We re also a very small team, so everyone had to push themselves to give 200%. Time and resources are limited, and at the same time, we also had to work on securing funding for the next six months to keep the team running and continue developing the app.

After four long years of grinding, building, fundraising, and hiring, we decided to pivot. I wanted to write down my thought process and timeline because I wish I d seen more honest pivot stories when we were stuck. Not just we pivoted and everything was instantly great but the real version where we kept trying to make the original idea work for way too long because we already put so much into it.

I went through YC S20 (the first COVID batch) as a solo founder working on @Basedash. After YC, I did what you re supposed to do. I talked to users. I built product. I did founder-led sales. I hired a great team. It felt like progress because I was constantly busy and the product kept getting better.

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

1. A 3-year search for a simple tool to track both personal and business finances in one place. Nothing fits.

2. Website owners constantly need minor edits in the admin panel. They are forced to pay specialists for 5-minute tasks. We need an AI agent that does this on command in the browser.

3. An indie hacker spends 20-30 hours manually cold launching each new product in directories, Reddit, and blogs. There is no tool that fully automates this and proves its effectiveness.

4. A freelancer often loses in proposal competitions due to the inability to quickly create personalized and visual website concepts for each job order.

5. A Telegram channel owner is losing their audience without understanding the reasons for unsubscriptions. There is no simple tool for automatically collecting feedback from departed subscribers.

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:

It s almost here for me. In three days, I ll be relaunching a major update for the app I have been collaborating with, and I ve set clear boundaries for myself about what I will and won t do before the launch. I guess these are some general, unwritten rules I try to follow

Definitely DON T:

• Accept offers from charlatans promising votes or engagement for money

• Send unsolicited messages begging for votes or support

• Spam other people s posts with launch announcements

I came to exactly the same conclusion that real startup ideas often come from simple and boring problems. From my own experience: I spent three years on a startup that was supposed to revolutionize online education, but in the end it had 0 users. Now I ve just started solving a simple problem for home appliance repair technicians and immediately got my first paying users on a very rough MVP.