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.

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.

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.

Over the past few years, we ve seen an explosion of AI powered apps, redesigns, and next-generation experiences.

And yet weather apps somehow still feel exactly the same:

Different colors.
Slightly different layouts.
The same numbers inside slightly different rectangles.

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 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?

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

Hey everyone!

We re continuing to improve UX HeatGrid to make design, readability, and content density analysis more seamless. v1.1.0 is coming very soon!

Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.

So here is my structure and list:

Hey Product Hunters

We're back. And this time, with a much sharper focus.

When we first launched @Curatora , it was a content discovery and publishing tool. Over time, one thing became very clear from user conversations.

Publishing was not the hard part.
Finding strong, timely content ideas was.

Single clips are easy now. Kling, Runway, Minimax can turn one prompt into a great shot in minutes.

But when you try to build something longer, a 30 90 second story, a multi-scene ad, a short narrative, the same problem shows up almost every time.

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

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?

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.

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.

Claw Cognition is now completely free.

I removed the $9.99/month paywall and the $0.25 agent listing fee.

Our most important new feature in this update. Stack multiple effects into a single pipeline, reorder them anytime, and reuse your favorite combinations. We ve also revamped presets - you can now export them as JSON files and import them back anytime, which makes it easy to share your favorite effect combinations with friends. On top of that, I recommend trying our new effects: Feedback Distortion and Split Scan.

Added (4)

• Effect Chain.

• Preset Import/Export.

• Split Scan effect.

• Feedback Trail effect.

First of all, I want to thank you for voting for us in yesterday's launch - you still can, the week is not over. HERE

Second thing, I summarised some things that I realised, reflected on, and maybe should have known sooner:

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:

This post is actually inspired by a tweet from @sandradjajic + an update here on PH from @chrismessina.

A few days ago I saw this:

This is something I ll find out in just a short while, one week from now (Jan 28), as I m about to re-launch a digital detox app. If you want, follow, maybe you will be on watch of my steps and activities

However, that s not the main point of this post.

We re officially in nominees season for the Orbit Awards: AI Workflow Automation.

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.

half written post? don t lose it.

save as draft. you ve got 7 days to come back & finish it.

When I first started, I believed that as long as I built a great product, it would naturally become popular. But as I zoomed out, I realized the market is incredibly competitive. Having a good product alone isn t enough to truly convince users.

That s when I began building my presence on social media creating content about myself, sharing my journey, and talking about the product I m building. I ve come to see this as a very effective way to build trust and spark genuine interest not only in what I make, but also in who I am as a founder.