A few days ago, I listened to a Czech video cast where the idea was that in a few years, the teaching position will lose its relevance.
This seems like a quite realistic prognosis to me, because:
The teaching position is not particularly valued,
AI knows more information than a teacher,
AI does not sharply confront the user, which encourages people to ask questions and think critically (this can sometimes not be said about the school system)
More and more young people prefer to communicate with Chatgpt than with an "educational authority"
In the trend of vibe coding and the era of artificial intelligence, when almost everyone can now start their own business, companies sometimes have trouble finding capable employees.
After hours of reading best practices, crafting the perfect assets and assembling what felt like a bulletproof plan, we were ready to launch on Product Hunt. We worked so hard and genuinely believed we d wake up to thousands of sign ups and the Product of the Day badge.
The reality was very different. We saw a tiny boost in sign ups, got stuck at around 200 upvotes, and to top it off, finished below a food blender.
I m about to prepare for my first launch here, and I d love to hear from you all. What s the most valuable lesson you ve learned from your previous launches?
Keep it short let's choose the most impactful lessons. 10 words max ;) Looking forward to your insights!
After spending the last few years building an AI startup within a corporate setup navigating ambiguity, owning end-to-end execution, wearing multiple hats I m now stepping into the job market.
But here s the catch: When you apply as a founder, even within a structured organization, it often raises eyebrows more than interest. Was it just a title? Was it too niche? Was it too independent to translate into team-based environments?
Lately, it feels like every other launch on Product Hunt is just another GPT wrapper with a shiny UI and a slightly different niche. Don t get me wrong some are genuinely useful but the signal-to-noise ratio is getting rough. It s like we re stuck in this loop of micro-novelty: same backend, different coat of paint.
I m really hoping we start seeing more products that push actual boundaries stuff that thinks beyond prompt engineering and starts solving problems we didn't even know we needed solved. Curious if others are feeling this fatigue too? Or am I just too deep in the not another AI chrome extension mindset?
Hi everyone! Since GPT-4o came out (GPT-3.5 wasn t good enough), I ve been using AI (not only OpenAI) for many things. I ask questions about marketing, legal stuff, taxes, travel plans, health almost everything.
It s fast, always available (not free, but not expensive either).
But when I have to make an important decision, I still go to a real person a human consultant just to be sure and double-check the final details.
I think many people here on Product Hunt use AI a lot too. So I m curious:
We're researching how to improve reading comprehension features in language-learning apps based on our own struggles with the disconnected texts often found in traditional platforms. Our vision is to create reading exercises that genuinely connect with learners' real interests, proficiency levels, and learning goals. I won't dive into all the details right now, but we'd love to spark a conversation around this question:
What types of reading exercises would make language learning more engaging and effective for you?
Looking forward to your insights don't hesitate to share your experiences or reach out directly! @willemvdeijkel @didiervanh @lucasilverentand
Don't you think Product Hunt discussions have become as cold as ice lately? Or maybe I just don t get which topics work best for my discussion themes? Last summer/autumn, discussions seemed to get more replies and upvotes people felt more cozy and engaged back then in comments.
Don't you think Product Hunt discussions have become as cold as ice lately? Or maybe I just don t get which topics work best for my discussion themes? Last summer/autumn, discussions seemed to get more replies and upvotes people felt more cozy and engaged back then in comments.
We're building a personalized language-learning app inspired by our own experiences and frustrations with the one-size-fits-all approach of traditional apps. Our goal is to offer customized and adaptive learning paths, powered by user data and tailored to individual interests, goals, and motivations.
I won t go into full pitch mode just yet, but we d love to start a discussion around this question:
What s your biggest pain point or frustration with current language-learning apps?
In yesterday's discussion by @aaronoleary, there were a few thoughts about using robots at home.
In this context, several questions occurred to me.
For example, what will happen to the future of humans if we delegate most of the manual and mental work to machines? How will we handle our free time? How will people be rewarded?
