Connect with the Product Hunt community

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.

If you're on a GLP-1 (Ozempic, Wegovy, Zepbound, etc) and figuring out what food to buy/eat is absolutely confusing, we'd love to have you as a beta user on our new app.
If you're not on a GLP-1, but you have a health goal (ie: eat more protein, more fiber, less sugar, etc) we'd love you as beta users, too!
Drop a comment if you want to be added to the Testflight beta group. Beta testers who submit feedback get free access to the app for an entire year :)

Hey everyone!

I m back with a "from the trenches" update on PawseKeys. We ve been working on bringing that intentional pause to more than just your desktop, and I finally have some movement to share.

Every top athlete has one (Lebron James, Novak Djokovic, Serena Williams). And it turns out, so do most of the biggest names in tech.

Steve Jobs mentored Mark Zuckerberg in the early days of Facebook. Eric Schmidt mentored Larry Page and Sergey Brin at Google and later credited that relationship as one of the key reasons Google scaled the way it did. Bill Campbell, known as "the Coach of Silicon Valley," mentored Jobs, Schmidt, Jeff Bezos, and dozens of other founders throughout his career.

If you're working with LLMs and still in "prompt engineering" mode better prompts, longer templates, more examples you're leaving most of the value on the table.

Frontier models (Claude Opus 4.7, GPT-5.4, etc.) can now run autonomous workflows end-to-end if you build the right harness around them. Four parts: a loop, a verifiable goal, a tool set, a secure environment.

Hey makers!

Lately, I ve been looking closely at how independent builders and small teams are managing AI knowledge bases. It feels like the default "industry standard" is to immediately reach for a complex RAG pipeline and a heavy, paid Vector Database.

But I'm starting to wonder if we are over-engineering this for 90% of standard use cases.

Vector DBs are incredibly powerful for massive scale, but for smaller or non-massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare.

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.

I notice most people I talk to describe their edits verbally, like "I want to cut where I said um" or "remove that whole pause after the intro." But then they have to go and find it manually on the timeline.

Wondering if the timeline is even the right interface for that kind of editing.

In November 25, AI Context Flow was #1 Product of the Day and #1 Productivity Tool of the Week. It was surreal.

Since then, we have been building in public, together with this amazing community here.

You believed in this before it was polished. You gave us feedback when it was rough. You kept asking for more and that pushed us to build more, and we delivered more.

Big news: We've made AI available on all plans, no markup, no lock-in, full control.

Just bring your model and start talking to your data with Metabot, or building AI-powered workflows. That's not all, to celebrate, we also released several new AI goodies:

• Official MCP server

• Metabot in Slack

• AI Agent Skills

• And a lot more: https://www.metabase.com/release...

Hi Gang! Excited to announce that @arthur_romanov and I got nominated for our local Forbes 30U30 award - could you kindly support us by visiting the link below and smashing that button (under profile pic) to make sure we get the top vote Huge thank you for all your help over the years

https://30-under-30.forbes.ru/20...

Yesterday, I kept thinking about the launch of @Startups.RIP by @sfoscar .

It was a really interesting concept, and it made me reflect on how certain technologies tend to come back to life in waves across different eras.

Overview

This release brings you 2 core features: official Cloud Services and Strategy Engine, fully enhancing the out-of-the-box AI experience and convenient automated task processing capabilities. In addition, this update covers up to 19 new features, 27 improvements, and 15 bug fixes, dedicated to creating a smoother, smarter, and more stable user experience.

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.

The meeting paradox

The async revolution was supposed to kill meetings, but it did the opposite. Since 2020, weekly meetings have increased 153%, despite every company adopting Loom, Slack, Notion, and a dozen other async tools. The tools multiplied, the meetings stayed. Something structural is broken.

I don t mean this in a disrespectful way or anything like that, but throughout my life, I ve come across (and I m sure you have too) several products whose actual usefulness wasn t exactly impressive, but their creators still made a huge amount of money.

For me, for example, it was:

• Fidget spinners (2017). At the peak, the global market was estimated at hundreds of millions to over $1 billion.

• Metaverse land (2021) valuation could be for tens or even hundreds of thousands of dollars each, with the overall market reaching hundreds of millions during the peak hype cycle. I bought one too. :D (actually was scammed).

• Pet Rock (1975) the creator became a millionaire within a few months.

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.

We ve been getting this request a lot, so we re taking it seriously.

We re currently exploring a free tier for Embedful and have already started the initial steps to integrate it. The goal is simple: make it easier for more people to try creating and sharing dashboards, charts, tables, and counters without friction. At the same time, we want to be thoughtful about how this impacts the product long-term.

Invoke 0.10.18 is now available.

Automation You can now create scheduled tasks powered by AI agent steps. Set custom schedules, run manually and create automation directly from the agent using the /automation command.

I m curious what Product Hunt launch results looked like in real terms for people here.

Not just upvotes or comments, but actual outcomes like:

• site visits

• signups

• activated users

• paid conversions

• retention after the spike

If you re open to sharing, it would be interesting to know:

Formally, I studied marketing, but honestly, that stuff from textbooks didn't help me at all. :D (sounds like wasting 5 years of my life, nwm)

The best marketing things I have learned weren't from courses, but through:
own projects

calls with someone better than me

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

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

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.

It may feel like you ve considered everything:
product page, positioning, network support, social media content even day planning.

We thought we did too.