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.

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

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.

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

It s the third week of working on my little side project, SimploMail.com, and to speed things up I ve been doing a lot of vibe coding. It s been fun, but a few things became obvious pretty quickly.
I stopped using the auto model setting in the IDE. When it silently switches models, the quality drops fast. I can feel when the agent all of a sudden looses its intelligence . So now I just pick one model I trust and stick with it.
I also try to keep each AI session focused on one small task. One feature, one change. After it writes the code, I go through everything myself. I check for hard coded config, make sure it didn't quietly delete a unit test to make something compile, and etc. Sometimes it does update unit test just to make it pass .
And I never commit without reviewing. The AI is helpful, but it can also remove something important without telling you. I've seen it happen enough times now .

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.

Lately it feels like every week there s a new AI-powered SaaS launching.

Same landing page formula.
Same promises.
Same 10x productivity pitch.

And what s interesting is the number of products keeps increasing but I m not sure demand is increasing at the same rate. It feels like we re repackaging the same value just slightly different positioning.

New UI.
Different niche angle.
Built for X .

I've been talking to dozens of PMs over the last few weeks who prototype with Lovable, Bolt, Figma Make, V0, etc. Same frustrations keep surfacing.

• Output looks a bit generic: looks like a demo, not your actual product

• Context loss: explain your product in ChatGPT/Claude, then re-explain in Lovable, then again somewhere else

• No edge case thinking: AI executes prompts literally, doesn't challenge or expand on them

The core issue I keep seeing: these tools are interface builders. They're great when you already know exactly what to build. But the hard part, thinking through the flows, the states, the edge cases, where users will actually get stuck, that's still entirely on you.

Last year we hired a design agency to build our marketing site for @Basedash. They did an incredible job. The headline makes it sound like I'm dunking on them, but I'm not. The site was genuinely great. They built it in Framer so we could manage content ourselves, which was a completely reasonable bet at the time (and something we explicitly asked for).

I am seeing this with Lovable, Verdent, Replit: I am clear, RAG my prompts, clean them with Claude Opus 4.6, find that with tough problems, they'll tell me something is fixed or done, and it isn't. Not even close. And I'm burning costly credits, making no progress.
I'd love to learn what others are doing.
I'm building a multi-agent tool that integrates with 25+ LCNC sites and also IDEs, and yes, there are tough problems with the tool's awareness of what a user is doing in a console or fields in a browser window. I'd apprecaite it if the nocode platform simplay told me, "no can do," rather than trying one thing after another, staying stuck, and costling me $100 or more per day to keep failing.
Thanks, in advance, for your suggestions!

Yesterday, I came across a post saying that OpenAI projects a $14 billion loss in 2026. They ve gone through several funding rounds, offer monthly subscriptions, and are now planning to integrate ads into search results (which means another revenue stream).

Realistically, I don t think this loss will be covered in the short term, and profitability might only come over a longer horizon (if at all).

There's a popular narrative on social media right now that AI can build software so quickly and cheaply that SaaS is dead (or will be soon).

Why pay for Linear when AI can build a project tracker in an afternoon? Why pay Stripe $30k/year when you can vibe code your own billing system in a weekend? The cost of building software has collapsed to near zero, therefore the value of selling software has collapsed to near zero. QED, SaaS is dead.

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.

It took longer than it should have, mostly because it kept getting deprioritized in quarterly planning. And the annoying part is: the longer you wait on dark mode, the bigger it gets. More components to adjust, more edge cases, more workflows to test.

So we stopped debating it. No justification, no comparisons. We just shipped it.

Hey PH community, I counted yesterday. 23 different apps before noon. Slack, Notion, ChatGPT, Figma, Google Sheets, email, Trello... and about 15 Chrome tabs I never closed from yesterday. By lunch I was exhausted and my actual work was still sitting there unfinished. The thing is, we all do this. We've normalized digital whack-a-mole. We have AI that can generate images and write code in seconds. But somehow we're still the ones doing all the clicking and switching. The AI just sits in a chat window waiting for us to feed it context. That felt backwards. So we built HappyCapy basically a computer where the AI can actually DO stuff, not just tell you what to do. Generate images, edit docs, crunch numbers, build sites. Whatever. You just describe what you need and it handles the tool-hopping. We're not replacing your main computer. But for a lot of tasks, it's way faster to just delegate to an agent that gets it done. It's live now. Still rough in places. But if you're tired of being an unpaid assistant to your own AI assistant, it might click. Curious: how many apps are you juggling right now? What's driving you most crazy about it?

I ve been using Pencil.dev for a few days and honestly it s a big paradigm shift for how fast you can explore UI. I'm loving it!!

One thing I bumped into: I still need to move some screens into Figma to polish details, collaborate, and keep everything in the same place as the rest of our design work.

If you use AI dev tools daily, you ve probably felt this:

You start a new session and immediately have to re-explain:

• what the project is

• what you already tried

• why certain decisions exist

• what not to repeat

Not because the AI is bad.
Because the workflow forgets.

Many people have told me that being part of Gen Z comes with advantages we have time, energy, and plenty of opportunities to shape our careers in the AI era. And I do feel lucky to have grown up with technology, to have had early exposure and opportunities to learn and explore it.

But the AI era feels different. The shift is not only new, it s happening at lightning speed. Before I ve even fully adapted to working with AI, we re already seeing waves of layoffs where human roles are being replaced or reshaped by AI systems. And honestly, that creates uncertainty and anxiety not just for me, but for many people around us.

This short demo shows how Mnexium works as a memory and context layer for AI apps.

Mnexium sits between your app and the LLM to provide:

• Persistent memory across sessions

• Inspectable & resumable chat history

• Structured user profiles and long-term context

• Automatic recall and injection no prompt juggling

The goal is simple: AI apps that remember users, stay consistent, and feel stateful by default.

Thanks @morajabi for the LED code! Now, when you press Capslock, the LED will also toggle on and off.

It's a really brittle implementation right now and can easily de-sync. It assumes that you start muted and then, when you press Caps Lock, you un-mute. To switch the toggle, simply double tap Caps Lock.

I could imagine building out a series of checks to try and sync up Caps Lock, the Caps Lock LED with mute function. First, I wanted to ship a really simple version to see what it feels like. Try out the new app and let me know if the LED is an improvement!