“There's no playbook in entrepreneurship. You just have to think from first principles, understand the fundamentals, and f*cking just go.” “One of the best things about founders is they’re not ruined by corporate America or school. School ruins you. You have to follow procedures. You're not thinking outside the box. You're following a playbook.” “There's no playbook in entrepreneurship.”

“I don't believe Claude Code will exist in its current form in six months” @benswerd, CEO & Co-Founder @freestyle_dev, thinks coding agents are moving from local machines to the cloud, where a single task could get the attention of 20+ agents at once. Each gets a complete copy of your stack, production environment included. Each can spend a week testing and refining its approach. You compare the results and take the best one forward. The economics aren’t there yet. Ben expects cost per task to fall another 99% over the next four years, making that level of parallel work practical. Freestyle builds the computers for it: full Linux VMs for tasks that run for hours, days, or weeks. Clone a running machine, memory included, and let agents pursue different approaches from the same starting point. Pause and resume with their state intact. Inside Freestyle, Ben already gives agents a week to find improvements to its VM technology. Roughly 700 tests and 90 metrics help the team judge whether the work made things better. He calls this goal engineering: define the outcome clearly, give agents time to work toward it, and measure whether they’re making progress. "Full Linux VMs for AI Agents" Built for complex tasks that run for hours, days, or weeks 🎙️ @benswerd, CEO & Co-Founder, @freestyle_dev on @Fondocom @thestartpod 00:57 Why coding agents could move from local to the cloud 02:22 From harness engineering to goal engineering 03:08 Giving agents a week to improve measurable results 04:13 Why defining the problem becomes the bottleneck 04:48 How early access to o1 changed Freestyle’s direction 05:51 Why frustrated sandbox users revealed a bigger opportunity 07:28 Giving agents a computer instead of building custom tools 08:12 Getting into YC  11:17 Snapshotting VMs and running agents in parallel 12:24 The economics of letting multiple agents attempt every task 13:26 How GPU supply could drive down agent costs 15:09 Try Freestyle and follow Ben

I can't wait to see what it does for my stockpile of Adderall & Xanax

I don't know what people are talking about. Opus 5.5 is still trash compared to Astra

This is probably one of the best ideas from Mark Minervini: When it comes to selling, hardest part is accepting that after you sell, the stock may still move another 20-30%. That makes traders want to hold the entire position, hoping to capture every last percent. Then one sharp reversal comes & large part of your open profit disappears in a few days or even a few hours. That's exactly why Mark says your exits should be systematic. Simple approach I use: 1-Sell 50% at a predefined target (eg, 3-4R). 2-Let remaining position trail using 11 or 21 EMA. It's massive mental peace.

This doesn’t make much sense to me if I’m being honest. There are plenty of things we had in say, the ’90s - Blockbuster, mall arcades, AOL chat rooms - that were considered “entertaining” at the time, disappeared anyway, and are now mostly nostalgia. What Ben describes here will probably feel the same way in 10-15 years.

Nobel prize winning economists have no authority relative to anyone else on what the distribution of income or wealth should be.

Now there is a good looking guy! Check out the watch. #beammeupscottie

Rome is the most beautiful city but traffic is completely broken and parking is impossible, making daily life very tough. I spent one hour trying to find a spot and the two closest paid garages were all full. Ended up double-parked while my wife bought something. We had to go back home, park in the private street, and take an Uber for the next appointment. In short, I spent three hours of my life just to buy a chocolate box and have a supplì This is a video I took last week. Just typical daily madness. The car in the center got stuck. Frankly, I think only FSD and robotaxis will save Rome. How many years will it take in your view, realistically?

Overachiever: tax collector category

Today, we’re launching an ambitious new school called The Horowitz Andreessen Academy. Based in San Francisco, The Academy serves the most promising young high school graduates. We think this can be an elite institution that attracts top tier talent. One that prepares students for the future rather than remaining stuck in the past. The #1 goal is to help students learn to build, which is the most important skill in the AI era. They'll learn primarily by pursuing their own projects, either individually or in groups. There are classes and guest lectures, too, from some truly amazing people who have built modern-day Silicon Valley. The Academy is designed as a network, since that’s the reason students go to school in the first place. Core to that network are our 10 Founding Partners: Anduril, Anthropic, Coinbase, Google, Meta, NVIDIA, OpenAI, Palantir, Replit, and Stripe. The network includes over 50 hiring partners and over 200 speakers and mentors. To join as a hiring partner or faculty member, you can apply on our website. We raised $42M in funding led by @a16z. I'll be CEO and @pmarca and @eriktorenberg will join me on the board. Applications are open for our Founding Class Fellowship, which will be one year and tuition-free. Eventually, pending regulatory approval, we plan to offer a two-year program that charges tuition, similar in cost to an elite private university. We're looking for the most unusually ambitious young builders on the planet. Come join us in San Francisco: theacademysf.com/

BREAKING: Shopify's CEO just coined the term that defines the next productivity crisis in tech. Tobias Lütke says employees are throwing "slop grenades" at each other. AI-generated emails nobody reads. AI-generated code nobody checks. Polished output that creates more work than it eliminates. This from the same CEO who made AI use a "baseline expectation" company-wide just last year. Researchers are calling it "workslop" — AI output that looks done but needs full revision before it's usable. The AI-first mandate is hitting a wall nobody anticipated: humans still have to review everything. Mandating AI use and trusting AI output are two completely different things. Are most companies about to find this out the hard way?

Do you really want to open zomato, blinkit, zepto, amazon, flipkart, bookmyshow and other apps if your agents can do what you need to do there? If these apps resist the agents, someone will be build an agent-native alternative for each of them... eventually. Amazon blocking Muse is a great validation.