
A true high performer knows he can still learn from people less experienced than him People who act high and mighty rarely stay that way for long
Andreas Larsen
551 posts

@andreaslar2
Art, Philosophy, Business – preferably all at once.

A true high performer knows he can still learn from people less experienced than him People who act high and mighty rarely stay that way for long

Going from $0-$1M is an art Going from $1M-$100M is a science

< the founders who raise obsess over one question: what is this actually signaling? > Oh. I guess we're not obsessed, across the board, with solving big problems anymore ..?

the dad scrolling 𝕏 at the breakfast table today is basically the same dad who read the huge newspaper

Unless you sell to enterprise, you sell to agents now

"I really don't want to manage an AI team." @cathrynlavery found a solution: Paperclip, the open-source project What she showed me: • Paperclip leads her agents using its project management setup • Humans on her team use it to assign tasks to agents • Agents delegate tasks to humans or other agents • Paperclip turns your goals into agent tasks • It turns an SEO audit doc (for example) into agent tasks • It organizes OpenClaw agents OR even creates its own agents Also: fast-forward to 9min25sec to see a 3-minute Paperclip setup. (YouTube version in first comment.)



How to build a product nobody wants: Serve “everyone” At AppSumo we thought we were serving “everyone dabbling in entrepreneurship” so our marketing said "buy this to quit your 9 to 5" Meanwhile there was a customer segment spending 10x more than everyone else: Agency owners They were buying multiple licenses, referring other customers, and sticking around for years We'd been completely ignoring them When we narrowed to serve that one avatar, customer LTV tripled and acquisition costs were cut in half The logic goes "if I narrow who I target, aren't I leaving opportunity on the table?" The reality: by deeply serving one person, you end up serving better

An article from the 90s explaining how in the 1980s, personal computers changed the dynamic of college vs high school workers. College grads learned how to use PCs and grew wages faster Mind you, this was when interest rates were 15pct, white collar unemployment was the highest it’s been any non covid year, general unemployment was 10pct, there was a recession, 18pct mortgages, and the start of the savings and loan industry collapse. The economy was a mess. Except it was the start of the “digital revolution “ which lead to change. Here we are at the early days of the AI revolution. I think it will be very analogous to what happened back then. If you think learning how to use Clause seems daunting, imagine being 50 yrs old in 1983, not knowing how to type, using a 1.0 key adding machine with a tape roll to do all your work as an analyst and realizing you had to figure out how your brand new IBM PC and lotus 1-2-3 worked. Or having only used a typewriter your entire career , then having to learn the new PC and WordStar. Trust me. WordStar key combinations were far harder to learn than telling Claude what you want done Lots of people couldn’t figure it out. Those who did were more productive Ctrl QA with AI nber.org/digest/sep97/h…

A crazy image

Good advice on how to build AI agents: focus on specific task or workflow first (instead of more abstract idea of AI agent as general assistant)

Maybe the sickest OpenClaw use case I've ever built I now have my own R&D department Twice a day 5 different AI models autonomously meet and discuss my business They take a look at my products/content and debate eachother and come up with next steps to grow revenue They then send me a memo that describes all their discussions and next action steps I need to take It's been WILDLY helpful. Especially in developing my new product This is how you use super intelligence to autonomously earn you money Here's how to set it up: 1. Go to OpenClaw 2. Ask it to set up a dashboard for an R&D council (5 different AI models) 3. Have them meet at 9am and 5pm every day 4. Give them access to all your links, code, and anything you're working on 5. Have one of them (rotating) come up with a new idea 6. Have all 5 debate 7. Build a report based on their discussions Now twice a day you'll get a ping with a detailed memo describing how to grow your business Next steps is making all of these 5 models local so they can run for free and do this around the clock If you implement workflows like this, I promise your life will change

IBM built a cloud of suits to make sure the CEO never talked to anyone actually doing the work. @elonmusk does the opposite. "Elon's method is extreme focus on substance. Extreme focus on getting to the truth. In any organization with multiple layers, there's compounding lies. Each layer wants to look good. Each layer puts a little spin on things. If one layer lies to the next layer above it, maybe that's okay. When that happens two or three times, the lies compound. If that happens six times, the lies really compound. If that happens 12 times, the CEO has no idea what's happening. That was IBM. By the time I got there as an intern, I calculated there were 12 layers of management between me and the CEO. They even had a term for it: the great cloud. A cloud of men in gray business suits who followed the CEO around and prevented him from ever talking to anybody who was actually doing the work. When he would come to visit, it was like a visit from the king. A completely impervious bubble. That's the polar opposite of the Elon approach." — @pmarca