
Dan Wick
@danwick
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Iowan living in Golden Valley building @omniafishing.
Minneapolis, MN
Joined November 2006
Good founders know what’s sacred. They honor the work. They build for users, not optics. The real sin isn’t running out of runway, it’s torching the faith people put in you. “The worst fraud isn’t the loss of capital, but the betrayal of faith.” @tinathehe 🔥
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End of an era. Ethan & @ryantanke built an incredible organization over the past 20+ years. Incredibly hard workers. I remember playing noon ball with them at the Arena Club when they were slinging tickets to youth teams in 2001. People forget how far they brought the Wolves.
Wolves/Lynx CEO Ethan Casson and COO Ryan Tanke, longtime leaders of the franchise’s business operations, are stepping down after the sale closes. The close friends announced their departures to the staff this morning.
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One of my favorite "building and learning in public" people and pods. Runkeeper was one of my favorite early apps. Jason's thinking and focus on youth sports resonates with me deeply as a former college basketball player. The "AAU of it all" is nuts and I love how Jason is.
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AJAX! Tag clouds! Superpoke! Check‑ins! All fizzled because the problem was fuzzy. Same trap brewing in consumer AI. Pretty Chat UIs age fast; durable value comes from a clear, novel job to be done.
People are too focused on the modality in consumer AI and not enough on the use cases. This happened in late stage web 2 consumer too — trying to find the “format” wedge instead of the true purpose and premise of a novel product.
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Remember folks who tried to internet‑proof their careers in ’95? Yeah, me neither.
If we settle for anything less with AI, we’ll be failing to act on what’s possible. For new graduates, this is not just a time to survive disruption but one to shape what comes next. You can read my full thoughts in today's @sfstandard :.
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AI agents aren’t a lazy river, they’re whitewater. @levie nails it: businesses use them to level‑up, not downsize. Same goes for us: if you’ve been coasting on 30‑hr WFH vibes since ’20, brace. Don’t try to AI‑proof your role; AI‑enable it and paddle harder.
Despite what makes the headlines, most companies I talk to are focused on using AI Agents to do more than they did before vs. doing the same and spending less. Usually it’s to reduce busy work, generate more revenue, build products faster, or serve customers better.
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"Nothing sharpens your understanding like watching something you build fall short in the hands of someone else."
The fastest way to learn anything is to care about the outcome. Most of what founders know comes from moments they couldn’t control, but had to respond to. Planning feels like progress until it’s replaced by silence after launch. You ship, it fails, and suddenly your whole.
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It's wild to think about how much a capability like this can accelerate product development cycles. Because we have used @Linear for years, it makes the orchestration layer of managing agents instantly clear for me as PM/VP of Eng/CTO. There is a lot of pressure on people trying.
Multi-agent flows in Linear are so powerful. You can take on 5-10x more ambitious tasks. I just had it build out our marketing site in 20 minutes. I will likely make minor tweaks in Cursor and ship. This was unfathomable a year ago
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This is the technological manifestation of Charlie Munger's latticework of mental models: fleets of domain AI agents, each a tool, calling each other. "Monolithic" AGI would be the ultimate "Man with a Hammer." The future of intelligence isn't a single hammer; it's a coordinated.
This seems increasingly true. Even when AI models get 100X better, the ultimate implementation will be many separate AI Agents doing work for you. AI Agents make sense to be specialized because you still need tailored ways of interacting with AI in different domains.
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In '95 my CS lectures were still in Pascal while I was sneaking off to teach myself HTML/CSS/JS. Curriculums lag revolutions. Skip AI now & we'll hand grads a map to a world that's already gone. Fundamentals are still important, but taste is almost the most important skill.
Ray Kurzweil says the world is rapidly moving towards AI -- hardware and software will improve 10x over the next year. AI will become even more part of daily life. so, "not teaching AI in college means preparing people for a world that doesn’t exist"
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AI turns ad platforms into full-stack “business agents,” letting SMBs target & convert like giants—no agency toll. Creative on demand, bidding on autopilot. Extinction event for middlemen, big win for scrappy brands. (@eric_seufert doesn't miss.)
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Good AI/LLM definition: "Understand the underlying reality of why" vs "just statistics." While also experiencing the conversation like it's both a first date and a job interview. (as @aweissman recently summed it up.).
This is the most clear & important explanation about how LLMs work. Remarkably, there are still people who claim that AI can’t produce anything original because “it just predicts the next word.” Listen to Ilya to understand what “understand” really means.
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AJ Evans doing work at @RL_Hoops Minneapolis showcase. #aau #boyshighschoolbasketball #highschoolbasketball @1ajevans
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