@businessbarista We’re moving from “doing” to “directing,” and those who embrace multithreading early will have a significant advantage over those still locked into the old paradigm.
Right thesis. We’ve been building on this exact pattern — agents that learn from every execution and compound over time.
The shift matters more than people realise. Stateless agents repeat mistakes. Learning agents turn every interaction into fuel for the next one.
One thing I’ve learned building this in production: memory alone isn’t enough. Context without expertise is just a good note-taker. The real unlock is when the agent knows what to do with what it remembers.
Agno’s the right foundation. Excited to dig into Dash.
AI agents just went mainstream.
OpenClaw hit 100,000 GitHub stars in 5 weeks. Fastest-growing open source project in history. Mac Minis are selling out because people want dedicated hardware for their AI agents. Karpathy is posting about it. Fortune is covering it.
Here's what founders need to understand about what just happened.
For two years, AI has been "chat with a smart thing." You ask, it answers, you copy-paste, you do the work. OpenClaw proved something different: AI can actually DO things. Send emails. Book meetings. Research competitors. Fill out forms. Not "assist." Execute.
This is the shift from ChatGPT to "Claude with hands."
ChatGPT says "here's a draft email." Claude with hands sends the email. ChatGPT says "here's your calendar analysis." Claude with hands books the meeting. That's not an incremental improvement. That's a category shift.
The creator, Peter Steinberger, is a legend. Founded PSPDFKit, built it for 13 years, sold for ~$119M. Burned out completely. Disappeared for three years. Came back to "mess with AI." Built the first version of OpenClaw in an hour. For himself.
This is the pattern behind every great tool: build for yourself, share it, watch it explode. Peter wasn't trying to build a startup. He was solving his own problem. That authenticity is why it resonated.
What this means for founders: the "AI assistant" category just got validated. Massively. If you're still copy-pasting between ChatGPT and your tools, you're already behind. AI that DOES things is now the baseline expectation.
The question isn't "should I use AI agents?" The question is "build or buy?"
OpenClaw represents the build path: self-host, full control, learn how it works, deal with the complexity. Managed services represent the buy path: simplicity, predictable costs, less control.
Both are valid. Different trade-offs for different founders.
The next 12 months will be chaos. Every productivity tool will add "agent" features. Most will be bad. The winners will be purpose-built for specific workflows—not generic "do anything" tools.
Cursor won by being Cursor for code. Not "AI for everything."
Same pattern will play out here.
OpenClaw validated the market. Now comes the race to build the commercial layer.
Shipping > Pitching.
LinkedIn’s CPO killed their APM program.
Replaced it with “Full-Stack Builders.”
The goal? Anyone takes an idea to market—regardless of role.
Not PMs. Not engineers. Not designers.
Builders.
One person. Idea to launch. AI handles the rest.
The only things that still matter:
→ Vision
→ Empathy
→ Communication
→ Creativity
→ Judgment
Everything else? Automate.
LinkedIn needs a massive transformation to get here.
New platforms. New agents. 20,000 people to retrain.
Solo founders?
Already there.
You don’t need a transformation program.
You just need to start.
I’m teaching this: Full-Stack Founders.
Build. Launch. Grow.
AI as your cofounder.
DM “FSF” for early access.
@lennysan The five traits framing is sharp. Vision, empathy, creativity, communication, judgment — automate everything else.
But the real insight: culture is the hardest pillar, not the tech. Tools are easy. Changing how people think is the real work.
What do founders really need to launch?
Not empty hype.
Not endless pitching.
Not more advice.
Ship fast.
Sell relentlessly.
Build momentum from day one.
Shipping > Pitching.
What’s your next step?