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First yearly customer just came in. Someone didn’t choose “try it for a month.” They chose to commit. Still early. Still small. But this is how it starts

The vibe-coding crowd thinks prompting is engineering. People actually shipping products know most real-world problems need deep domain knowledge and systems thinking. It's not just about asking Claude nicely.

The best $250k products I've seen weren't built to hit $250k They were built by people who: - Actually used what they made - Fixed their own problems first - Didn't track revenue for months Then one day they checked Stripe and went "oh" Revenue follows impact Impact follows

Used to be: can you code it? Now: can you explain what you want clearly enough for AI to code it? Funny how the bottleneck just moved upstream.

Companies keep posting about AI replacing engineers Then they post job openings for engineers Actions speak louder than tweets

Technical founders spend months polishing features nobody asked for. Distribution matters more than your perfect v2. Ship stable, then switch to marketing ¯\_(ツ)_/¯

Tech CEOs limit their kids' screen time to 30 minutes. Then spend billions optimizing your feed to be addictive. If the people building it won't use it, why are you?

Tech Twitter: AI makes building easier for everyone. Also Tech Twitter: 200 engagement farmers pretending to build 🤦♂️

Update: Google restored the account. But this exposed something bigger. If a single API integration can shut down your identity, are you really building on stable ground? The real risk isn’t automation. It’s dependency.

The real edge isn't being first to use AI tools or having the most followers It's being technical enough to reverse engineer what you need from source code while moving fast enough to ship before the hype farmers flood your niche with slop

AI coding tools turned 6-month projects into 4-week launches Solo builders now ship faster than funded teams The playing field just got way more interesting

The window is wide open right now. AI just made technical change accessible to anyone willing to ship. Not theorize. Not wait for the next model. Ship. The builders winning aren't the ones reading every paper or debating which framework is best. They're the ones who see a real

My OpenClaw agent went bananas. Reinstalling again for the 5th time.

People are underestimating this. I just closed a client for: $3k setup $1.5k/month to run OpenClaw agents Dedicated Mac Mini. Automated workflows. Continuous optimization. This isn’t freelancing. This is AI Ops as a Service. Is $1.5k/month too cheap?

Is your OpenClaw a junior dev or a senior engineer? Mine started as a junior a few weeks ago. Now it reviews its own PRs, catches edge cases, and ships clean diffs. Same model. Different system. The difference isn’t the AI. It’s how you train and orchestrate it.

Quick question. Why does this show 298k views on the timeline but 300k inside post analytics? Is X rounding publicly or are impressions calculated differently? Genuinely curious.

I’m back after 17 hours flight to visit a client in Sydney. Sometimes the best growth hack is getting on a plane. What’s the longest flight you’ve done?

Getting ~20 minute delays from OpenClaw responses after the latest update. Anyone else experiencing this?