Pratham

OpenClaw is incredibly powerful. It can run apps, browse the web, manage files, and automate real workflows. But most people never get that far. They get stuck figuring out which skills should I actually use, and why do they burn so many tokens?

@csaba_kissi Crazy!

🙀 "Is ready for launch?" needs 2 more upvotes to make it to the Monthly Top 3 on Uneed․best Still holding the #1 position for today. Thanks for all your support, guys!

AI is the only piece of tech that does not make you doubt your skills. You build with confidence and even when you are wrong, it says "you are absolutely right."

2005 to 2020 was the best time for software. A lot of the genuinely hard problems were solved during that period. Things like Android, Git, AWS became a foundational layer that unlocked entirely new ways of building. After 2022, something has shifted. It's not that we ran out of important problems to solve, but the cost of building software has dropped so dramatically that the natural filtering mechanisms have weakened. When it was hard to build, we were forced to think carefully about what was worth building. Now that it's easy, we often skip that step. The result is software bloat. And when something becomes bloated, we start assuming it is no longer useful. You can see this in the real world too. When a product becomes overloaded with features, people begin to look for simpler alternatives, even if the core problem is still valid. This is partly why we are seeing so many conversations around ideas like AI is eating software or traditional SaaS is dead. In many cases, it is not the problem that disappeared, it is the experience that degraded. In the next 5 years, this likely compounds. We will keep producing more software, but the gap between what is possible and what is actually useful will widen. Systems may become harder to reason about, even for the people building them, and products may grow in surface area without growing in depth. In a world where building is cheap, deciding what not to build becomes the defining skill. We do not necessarily need more software. We need better judgment about the software we choose to build.

Then: you learned syntax before you could build anything. Now: you build anything before you fully understand the syntax.

@csaba_kissi I want to add this isreadyforlaunch.com 😉

5 cool sites for web developers. plandex.ai - Open source AI coding agent proofswap.me - Exchange social proof instantly sevalla.com - Full-stack hosting (JavaScript, PHP, Python...) openalternative.co - open source alternatives usebruno.com - The Git-native API client

So instead of spending hours configuring agents… You can just install proven workflows and start executing. Curated skills. One-click install. Your OpenClaw running in the cloud. → myclaw.ai

And because the skills are installed natively in MyClaw, the setup costs 0 tokens. Which means your context window stays focused on actual work, not configuration.

OpenClaw is incredibly powerful. It can run apps, browse the web, manage files, and automate real workflows. But most people never get that far. They get stuck figuring out which skills should I actually use, and why do they burn so many tokens?

Still can't believe software engineering once considered one of the toughest jobs is now being talked about as replaceable by AI.

@csaba_kissi Super useful!

Probably the 4th time I am getting this scam message. @nikitabier

AI generated code is so beyond our understanding level that we just call it slop.

@csaba_kissi @tomzur Hope you had a great time there! Plan a trip to India next 😉

I've been to Budapest for 3 days. Had a great launch with @tomzur. We talked about Kinsta, Sevalla, business in general, and politics. It was again proven that a business idea can come from users' demand. And the bonus... One photo from the big automotive event. What do you think about this beast?

@garrytan Markdown is programming.

The thing I believe that few people believe but I think everyone will believe Markdown *is* code

How do i explain to my friends who are not active on X how much they are missing and how outdated they are

People saying computer science is dead because of AI are usually the ones who think computer science is just coding.

Only way to win: Just make sure you are consistent in what you do for at least the first 12 months.