What ProductHunt Has Become

I used to love ProductHunt – it was a great place to launch your new site or app and get your first users and feedback. It’s hard to do this without a pre-existing following, so it was especially helpful for small developers and creators. And all those indie projects and apps to discover every day – a pure treasure trove!

Nowadays, looking at what’s posted on ProductHunt, it’s more AI than anything else. Don’t get me wrong, despite my previous post, I think AI can be really helpful in some products, but the fact that “AI” has become a basis for getting your product ranked high is not great for anyone building non-AI things.

Okay, let’s say you still decide to post: First of all, good luck battling with fake and spammy listings on your launch day, resulting in legitimate listings which don’t catch the first upvote wave to rank lower.

So now you’ve launched, what’s next? Take a look into your emails, because half a dozen spammers found an email address on one of your product’s pages and have sent you enticing offers to boost and improve your ProductHunt launch.

And that’s not all. Taking a look at the comments, the majority feel unnatural and generated. No honest feedback anymore, just automated messages praising you for your product without knowing what it even is.

I don’t know if and how ProductHunt will change in the next years, but as of now, it has become a less valuable resource for finding cool products and sharing them.


What Product Hunt Has Become

I used to love ProductHunt – it was a great place to launch your new site or app and get your first users and feedback. It’s hard to do this without a pre-existing following, so it was especially helpful for small developers and creators. AAnd all those indie projects and apps to discover every day – a pure treasure trove!

Nowadays, looking at what’s posted on ProductHunt, it’s more AI than anything else. Don’t get me wrong, despite my previous post, I think AI can be really helpful in some products, but the fact that “AI” has become a basis for getting your product ranked high is not great for anyone building non-AI things.

Okay, let’s say you still decide to post: First of all, good luck battling with fake and spammy listings on your launch day, resulting in legitimate listings which don’t catch the first upvote wave to rank lower.

So now you’ve launched, what’s next? Take a look into your emails, because half a dozen spammers found an email address on one of your product’s pages and have sent you enticing offers to boost and improve your Product Hunt launch.

And that’s not all. Taking a look at the comments, the majority feel unnatural and generated. No honest feedback anymore, just automated messages praising you for your product without knowing what it even is.

I don’t know if and how ProductHunt will change in the next years, but as of now, it has become a less valuable resource for finding cool products and sharing them.


First year going to #IFABerlin. I’m quite excited to see what’s new 👀

Announcement for IFA Berlin 2025 featuring a person with a VR headset and colorful squares surrounding them with the text „I‘m going to IFA Berlin 2025!“.

When, oh, when will Apple update App Store Connect? It’s due for a refresh both in reliability and speed.


Conventional Commits

Wow.. I’m late to this party: So, a few months ago, I learned about Conventional Commits. I was always wondering why some Git repositories had this weird formatting for their commits, but I didn’t know what it was called or that it’s basically a standard.

revert: let us never again speak of the noodle incident

After working with someone who (luckily) forced it on me, I’m quite happy knowing it now! It simply makes everything more uniform and standardized, which my German OCD soul absolutely adores. I just love learning new things like this, and although yes, my repos have survived without it for the last few years, it just makes my commits much more readable now!

If you’re like me and have been living under a rock for years, be sure to check it out!


I’m Worried About the Current State of Generative AI

I started studying computer science in 2023. ChatGPT was already released about a year ago, and people started using it frequently. The whole “AI” topic wasn’t as hyped yet but was definitely on the rise. Stack Overflow was still getting traffic from normal humans, and no one knew what “vibe coding” was. In the last few years, this all changed. At first, using generative AI to solve coding issues faster or write an assignment felt like cheating—now it feels like a necessity to keep up.

With Google, we outsourced information to the internet. But this was at a tradeoff—yes, we didn’t have to remember as much, but we could collect our memories and information on the internet and even find & access it faster than ever before with search engines like Google. Before, you had to remember the phone number of your local doctor or remember the address of that sushi place you love. Nearly every piece of information about us humans was right at your fingertips, just one search away.

Now, with AI, we’re not outsourcing our memory anymore; we’re outsourcing our thinking. Why should I spend hours collecting what I need to build something if I can use a tool that curates everything for me and, while we’re there, even adapts it to solve my exact problem? What started as an experiment for many (and myself) turned into a dependency. It’s like having an expert at your side at every moment who “knows” more than you could ever know. But this expert is trained to prioritize quantity over quality; it’s an expert in being broad, so when it comes to the important details, it’s not always right and sometimes completely wrong. I can judge if a generative AI tool is right about a topic I know a lot about, but that’s probably not something I’ll ask it about.

When I use AI to code or to help solve an assignment, I don’t really feel positive afterward. Of course, it’s a big time saver most of the time, but also, I miss this trial and error phase where you were just stuck and had to pause a moment and recollect yourself to get out of it. I don’t feel like I learn as much anymore, and the motivation to learn hasn’t quite increased as well. “If you’re stuck, just ask AI and get on with it” is the current vibe I get from other people.

I read somewhere that if you run into a code problem, and you can’t solve it reliably with AI in under five minutes, just spend the time and dig deeper. Read a few articles (although they’re most likely also AI-generated lately), read the docs, and try to troubleshoot. Using AI too frequently is not very sustainable anyway, not for your knowledge, not for your mind, not for your sense of problem-solving, and not for the planet. It’s a great tool, but my takeaway here is, that I’ll personally need to refine how I use it to be effective not only in my work but also for myself.