10 years ago, when I started in marketing, I had never heard of Product Hunt.
Today I m here and honestly, I feel like a newcomer trying to find my way among people who build and launch world-class products. What I genuinely love so far is how open and supportive this community feels. It s a beautiful ecosystem to witness.
No CS background. Started vibe coding 3 months ago.
16+ hours daily. 15 billion tokens later I'm still learning.
I was using a Claude Code leaderboard service made by another dev. Submitting my daily stats became my end-of-day ritual. It was my fuel for vibe coding.
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
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.
If you are using n8n, you probably stopped thinking about it at some point. It just runs. The workflows, the glue code, the stuff that would be painful to rewire if it disappeared.
We want the real stories here. What is n8n handling for you today? What did it replace? What breaks if you turn it off?
In a notable shift in the AI landscape, Apple and Google have announced a multi-year collaboration under which Apple s next generation of Apple Foundation Models will be based on Google s Gemini models and cloud technology.
According to the joint statement, these models will help power upcoming Apple Intelligence features, including a more personalized Siri, expected later this year.
Since I started heavily using agents with CLI products, I've been super frustrated with Terminal. And looking at other options they mostly felt bloated and lacking features I wanted to make multi-agents piloting easier.
There s one thing we re really good at as builders: we constantly try to improve our work and our product every single day. But an honest question I often ask myself is: do we put the same effort into updating ourselves?
At Murror, we re a small team of around five people. For me, it s important not only to improve the product, but to continuously update my mindset, skills, and learnings and share them openly with the team.
I try to communicate everything I learn, ask questions, and clarify problems as much as possible, so the product we re building becomes better, clearer, and more convincing for our users.
To do that, I try to practice a few things consistently:
Whenever I browse product launches, I somehow subconsciously judge not only the product itself and its quality, but also the quality that is reflected in the effort the makers put into preparing it.
It may sound insignificant, but in my case, these things also make a significant difference:
Icon GIF at the launch it enlivens the overall impression and is dynamic
Quality graphics and video
First, a properly filled-out comment
Photos in the makers' profiles (it's less trustworthy for me when there's only the letter "J" or something similar)
Whether any of my contacts or acquaintances on the platform reacted to the launch
At the beginning, my reason was very simple: I needed a job and I genuinely liked the product.
I graduated with a Marketing degree, but I never felt like I belonged in agencies or similar environments. It just wasn t for me. At the same time, I didn t have much experience in tech either. So I took a leap of faith and applied for a Customer Support role, almost blindly.
The early days were tough. I had no technical background, no real understanding of how apps were built, and everything felt overwhelming. But the product itself became my motivation. I started from the most basic things: learning simple technical terms, understanding how an app is structured, and slowly exploring how everything works behind the scenes.
