I’ve been thinking about this a lot lately. A few years ago, one of the hardest parts of starting a software company was actually building the software. You needed developers, designers, time, money, and sometimes months of work just to get something usable in front of people. Now? You can have an idea in the morning, use AI to help you build it, deploy it, and have something real to show people by the evening. That part has become ridiculously easier. But then you launch it and realize something uncomfortable: Nobody cares. You can build the product faster than ever, but you still can’t force people to use it. And I think this is where a lot of founders are getting stuck. AI has dramatically reduced the cost of building software, but it hasn't reduced the difficulty of earning attention and trust. In fact, it may have made that problem worse. Because when everyone can build faster, there are suddenly more products competing for the same limited attention. Your product isn't competing only with companies that raised millions anymore. It is competing with another founder who spent their weekend building something similar with AI. So the advantage is slowly moving away from "Can you build it?" It is becoming: Can you get someone to notice it? Can you explain why they should care? Can you earn enough trust for them to try it? Can you get them to come back? This is also why I’m starting to think distribution is becoming one of the most important founder skills. You don't necessarily need to become an influencer or spend thousands on ads. But you do need to learn how to talk to people, find where your users already hang out, create useful conversations, build relationships, and consistently put your product in front of the right audience. AI can help you build the product. It can write your landing page. It can help with your emails. It can even help you research your market. But it can't magically make people care. And honestly, I think that's a good thing. Because if building becomes almost free, maybe the real test of a startup isn't who can build the fastest anymore. Maybe it's who can understand people the best. What do you think is harder today: building the product or getting the first 100 customers?

One of the easiest traps as a founder is convincing yourself that the next feature will fix everything. More features. Better dashboard. New onboarding flow. Another integration. Another redesign. Meanwhile, the people already using your product are quietly telling you what needs to be fixed. You just aren't asking. If I had a startup today and felt stuck, I wouldn't spend the next 7 days building. I'd spend them talking to users. Day 1: Talk to 5 users Not a survey. Not an automated email. Actually talk to them. I'd ask: “What were you trying to accomplish when you signed up?” “What almost made you stop using us?” “What do you wish our product did better?” Day 2: Talk to people who left This might be even more valuable. I'd find users who signed up but never became active and ask them one simple question: “What stopped you?” Don't defend the product. Don't explain why they were wrong. Listen. Day 3: Watch someone use the product I'd get 3 people to share their screen while using the product. I'd say nothing unless they get completely stuck. Where they hesitate is information. Where they click the wrong thing is information. Where they say “I don't understand this” is information. Your analytics can tell you what happened. Watching users can show you why. Day 4: Read every complaint Support tickets. Emails. Comments. DMs. Reviews. Refund reasons. I'd put everything into one document and look for patterns. If 7 people independently complain about the same thing, that's probably not 7 separate problems. It's one product problem appearing 7 times. Day 5: Talk to people who love the product Ask your happiest users: “What would make you completely disappointed if we removed it tomorrow?” This tells you what your product actually delivers that people value. You might discover that the feature you thought was your biggest selling point isn't the reason people stay. Day 6: Turn conversations into a priority list Now I'd divide everything I learned into three buckets: Keep: Things users clearly value. Fix: Things creating friction. Ignore: Things founders think are important but users don't care about. Then I'd pick one problem. Not ten. One. Day 7: Build only what you learned Now you can open your code editor. But instead of building the feature you think users want, you're building something users have already told you they need. That's a completely different way to build. The uncomfortable truth is that sometimes the reason your startup isn't growing isn't because you're missing a feature. It's because you're solving the wrong problem really well. So before you add another feature this week, try something different: Talk to 10 users. You might discover that your next feature has already been sitting inside your users' complaints for months. Founders: when was the last time you actually talked to a user about your product?

I had a feature I thought would take me several days to build. Instead of starting from scratch, I gave Claude Code the context of the project, explained what I wanted, and let it work through the implementation with me. The interesting part wasn't that it generated code. It was how much of the boring work disappeared. Setting things up, connecting the pieces, handling edge cases, fixing small errors, going back and forth between files... all the little things that normally eat hours. I still had to review the code, test everything and fix a few things myself. But the amount of actual development time it removed was honestly surprising. I'm starting to think the bigger advantage of AI coding isn't necessarily that it replaces developers. It's that one person can now move through an idea much faster. Curious how much time Claude Code has actually saved other builders here?

We tripled our prices and revenue went up here is what we learned

This is beautiful i recently started creating and experimenting with AI image models and the images attached are my testings lol i nailed it with realistic prompting guys which model performs best share your thought

The lean stack that keeps me shipping without burning out

Validate before you build - the 2-week sprint that saved me 3 months