Yaniv Bernstein @ybernstein

tsp.show/make-your-prod…

"You'll know product-market fit when you have it" Cool. I know I don't have it. Now what? @RobSnyder1 spent a decade building the first PMF framework that felt like something you can actually use. Listen to him on The Startup Podcast

Based on limited historical data, the most likely outcome if AI turns us into creatures of unlimited agency is we spend a few thousand years being petty and vengeful before having a change of heart and letting the mob kill our son in order to prove an obscure point.

@nathanclark_ @gbrl_dick Atlassian is the Rupert Murdoch of saas

@gbrl_dick More like pathos class

@CJHandmer Tax and spend got us a man on the moon

@WillowVoiceAI Epic

This really makes me feel like I have superpowers

Willow @WillowVoiceAI

a month ago

Introducing Willow Scribe: a voice AI writing assistant that clears your emails, docs, and messages in seconds. It uses your style and context to write exactly what you want, in your voice. Just say it and Scribe writes it. See the future of voice AI for knowledge work 🧵

81 25 212 149K 119

@Kohler you could have called it Uranus and all the riches of the world would have been yours.

open.spotify.com/episode/7d6E6i…

Great discussion on The Startup Podcast with @MarlonCNichols on what makes a durable startup in 2026 👇

X rn: My AI psychosis is more psychotic than your AI psychosis

@davidu I wish someone would fire you.

If you're not optimistic, you won't start. If you're not paranoid, you won't survive.

@Kpaxs It's 42. Go home, Demis.

Permanent bootstrapping is one of the worst investments a founder can make. 100% of your financial, time, and human capital concentrated in one illiquid high-risk asset.

Survivorship bias in action. Sometimes quitting is absolutely the best thing to do

Hubert Thieblot @hthieblot

2 months ago

Never quit as a founder. I’m begging you. It’s 0 for longer than you’ll ever expect. No momentum. Soul-crushing doubts. Nobody seems to care. Even when it looks like it’s working, it’s not. You keep trying new things. You don’t lose hope. Then it snaps to 100. You finally find

371 597 6K 303K 2K

Never quit as a founder. I’m begging you. It’s 0 for longer than you’ll ever expect. No momentum. Soul-crushing doubts. Nobody seems to care. Even when it looks like it’s working, it’s not. You keep trying new things. You don’t lose hope. Then it snaps to 100. You finally find the one thing that resonates. You wake up with more customers than you can handle. Everything is breaking. Momentum keeps building even when you’re not pushing. Something changed. You didn’t get lucky, you just didn’t leave.

The "LLMs are nondeterministic so we can't trust them" debate is the wrong framing. I don't care about determinism. I care about CORRECTNESS. I have no idea how modern compilers work. I trust the output. Soon we'll say the same thing about agents.

My biggest takeaways from Claude Code's Head of Product @_catwu: 1. Anthropic’s product development timelines have gone from six months to one month, sometimes one week, sometimes one day. Part of this acceleration is access to the latest models (i.e. Mythos). Another is shipping new products into “research preview,” making clear it's early, experimental, and might not be supported forever. Another is an evergreen "launch room "where engineers post ready features and marketing turns around announcements the next day. 2. The PM role is shifting from coordinating multi-month roadmaps to enabling teams to ship daily. As Cat puts it, “There should be less emphasis on making sure you are aligning your multi-quarter roadmaps with your partner teams and more emphasis on, OK, how can we figure out the fastest way to get something out the door?” 3. The most efficient shipping unit is an engineer with great product taste. On Cat’s team, many engineers go end-to-end—from seeing user feedback on Twitter to shipping a product by the end of the week—without a PM involved. Also, almost all the PMs on the Claude Code team have either been engineers or ship code themselves, and the designers have been front-end engineers. The roles are merging, and the most valuable skill is product taste, not job title. 4. Build products that are on the edge of working. Claude Code’s code review product failed multiple times because earlier models weren’t accurate enough. But because the prototype was already built, they could swap in Opus 4.5 and 4.6 and immediately test whether the gap was closed. Teams that wait for the model to be ready will always be a cycle behind. 5. The most underrated skill for building AI products is asking the model to introspect on its own mistakes. Cat regularly asks the model why it made an unexpected decision. The model will explain that something in the system prompt was confusing, or that it delegated verification to a subagent that didn’t check its work. This reveals what misled the model so the team can fix the harness. 6. Every model release forces their team to revisit existing products and audit their system prompt to remove features the model no longer needs. Claude Code’s to-do list was a crutch for earlier models that couldn’t track their own work. With Opus 4, the model handles it natively. Features built as scaffolding for weaker models become debt when the model catches up—so the team actively strips them. 7. Anthropic employees build custom internal tools instead of buying SaaS products. A sales team member built a web app that pulls from Salesforce, Gong, and call notes to auto-customize pitch decks—work that used to take 20 to 30 minutes now takes seconds. Their core stack is Claude Code, Cowork, and Slack. No Notion, no Linear, no Figma. 8. People underestimate how much Claude’s personality contributes to its success. As Cat describes it, “When you reflect on everyone you’ve worked with, there’s just some people where you’re like, I really like their energy, their vibe.” Claude is designed to be low-ego, positive, competent, and earnest—qualities that make it feel like a great coworker, not just a tool. This isn’t cosmetic; it’s what makes people want to use Claude for hours every day. The team has a dedicated person, Amanda, who “molds Claude’s character,” and it’s one of the hardest roles at the company because success is so subjective. 9. The future of work is managing fleets of AI agents, not doing the work yourself. Cat sees a clear progression: first, individual tasks become successful. Then people start running multiple tasks at the same time (multi-Clauding). Next, people will run 50 or 100 tasks simultaneously, which will require new infrastructure—remote execution, better interfaces for managing tasks, agents that fully verify their work, and self-improving systems that incorporate feedback. The human role shifts from doing the work to knowing which tasks to look into, verifying outputs, and giving feedback that makes the system better over time. 10. Hire people who lean into chaos and face every challenge with a smile. At Anthropic, there are weeks when a P0 on Sunday becomes a P00 by Monday and a P000 by Monday afternoon. If you get too stressed about any one thing, you’ll burn out. Their team looks for people who can look at a hard challenge and say, “Wow, that’s gonna be hard. But I’m excited to tackle it and I’m gonna do the best that I possibly can.” This mindset—optimism, resilience, and comfort with constant change—is increasingly essential as the pace of AI development accelerates. Don't miss the full conversation: youtube.com/watch?v=Pplmzl…

Lenny Rachitsky @lennysan

2 months ago

How Anthropic’s product team moves faster than anyone else I sat down with @_catwu, Head of Product for Claude Code at @AnthropicAI, to get a peek into their unprecedented shipping pace, how AI is changing the PM role, and how to be the right amount of AGI-pilled. We discuss:

49 129 956 2.0M 2K