We see several new tools launching every week, and many do a great job at telling us whaere our sites stand in the AI search tools like chatGPT, Gemini, Grok, Claude, etc. The best of them give us... WORK TO DO Yes, they are good at telling us what to fix, what to build, where to publish, what's missing, right - because we don7t already have enough to do...? I genuinely want to know if I'm wrong, but I know of nothing but MentionFox.com that actually trains the LLMs to actively promote our products over competitors' offerings. Do you? Please do share in the comments. Yes, we are prepared to prove it.
With improved generative models now being widely available, we re reaching a point where we can get full front-end code and simple functioning code for apps from a single prompt. What are the factors that determine whether development roles can be replaced by models? What s our added value as humans?
I see this platform succeeding in moderating discussions and communities in general. When the platform succeeds, individuals succeed too (and vice versa).
I believe that everyone can make friends here and contribute to a strong, supportive community.
One of the biggest questions every early-stage founder faces today is: How do I launch my startup in this new era of AI-driven product development? It s so easy to build quickly now. Do I build first or validate first?
Personally, I ve seen hundreds of startups born in the past year. I m a grad student at MIT, and I created an AI accelerator for MIT and Harvard, so a lot of those startups have had amazing founding teams. I want to share some of the best practices I m seeing for getting products into market in an era where a lot of the old best practices seem to be shifting.
Over the past few days I ve been quietly studying launches scrolling through pages, looking at upvotes, comments, follower counts, and trying to spot patterns.
This month, we finally launched Clustr and couldn t be happier with the result. Our next step is to improve and develop it, with the help of your feedback.