With tools like Claude Soneet 3.7 getting insanely good at generating code and solving complex problems, I can t help but wonder: Will AI eventually replace software engineers, or just change the way we work?
I ve started using Claude Soneet 3.7 myself, and it s a game-changer for speeding up repetitive tasks. But at the same time, it made me think about the future of coding jobs. Will engineers become less relevant, or will we just evolve to work alongside AI?
For me these are the two most exciting things: 1. Will cash out big time from the crypto markets.
2. My goal to generate revenue with a product that I built and helps people. What's yours?
Personally, for me, the hardest part has been reaching out to others for help. (But this is more of a personal challenge than a technical one.) What has been the most difficult part for you when launching a product?
It s not dead it s evolving. The SaaS model isn t disappearing; it s transforming into AI-enhanced systems. Think of it like moving from traditional websites to dynamic apps the core concept remains, but the execution changes. Startups can seize this moment by embracing AI, focusing on user-centric solutions, and anticipating how their industry will change.
No. Developers will be crucial in designing, training, and maintaining AI systems. The focus will shift from building CRUD applications to developing intelligent systems and managing AI pipelines. For startups, this means investing in AI/ML expertise early to stay ahead.
Meta has launched Threads an alternative to Twitter. Have you signed up for Threads? What do you think, does it live up to its Hype? Feel free to share your Threads Profile here. Let s Follow each other
Personally, I like the idea of "3 strikes" If a task occurs 3 times, everyone should ask themselves "can we automate this?" Worst case, it leads to a more streamlined process, even if we can't automate it 100%.
Launching a product globally isn t just a simple rollout; it s all about making a real impact! There s a ton to consider, from localizing everything to crafting a solid marketing strategy For anyone who's navigated the world of launching products in new markets, what channels or strategies really worked for you? Any tips for avoiding common pitfalls? Let s share our best advice to help smooth out those global launches
Help me out in my research pls! Tell me:
1 which is the most useful payroll management solution for you or the one that your company uses?
2 the best part of this solution
3 what could be better or what you don't like
I agree that the MVP is a journey, and not a one-time validation event, and that continuous iteration is necessary to refine the product into a competitive offering in existing markets. I found the emphasis on using a waitlist strategically to collect targeted feedback from specific tranches of early adopters a solid recommendation. Given this, it tracks that when you narrow your target audience, you can be more selective and intentional on how you deploy resources. By leveraging deep understanding of specific user needs, you can create significant value compared with the competition. Is this similar or different to your approach?
To be completely honest, I feel overwhelmed by trying to keep up with all the AI products. I look at the Product Hunt home page and it seems like every product incorporates AI. 1. How are you keeping up with the AI products that are most useful to you or your team, and 2. what do you use them for? (And if you're recommending your own product, please specify!) I know there's newsletters, but selecting one to follow even seems overwhelming because there's so many of them. Thank you so much in advance!
