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This is the single best tweet of the year so far. Boris Cherny, the engineer who built Claude Code, shares exactly how he uses it every day - running 5-10 Claudes in parallel, using Opus 4.5 with thinking for everything, sharing a team CLAUDE.md that compounds with every commit. His most important tip: give Claude a way to verify its work, and it 2-3x’s the quality of the final result.

This one hit close to home. Tailwind Labs laid off 75% of its engineering team this week… not because the product failed, but because it succeeded too well.

75 million downloads per month. Utility-first syntax so clean that every AI coding agent memorized it. And that’s exactly what killed the business. Google traffic dropped 40%. Revenue collapsed 80%. The docs that funded development became obsolete when Claude and Cursor already knew the answers.

And then something remarkable happened. Within 48 hours, Cursor, Bolt.new, Shopify, Vercel, Supabase, and dozens more stepped up as sponsors. The community generated more revenue than any marketing campaign ever could. We think this matters beyond Tailwind. We’re watching the first high-profile casualty of AI tools commoditizing the very infrastructure they depend on - and we’re also watching what happens when a founder bets on transparency instead of hype.

The AI Collective Stamford chapter hosted its fourth Demo Night at Point Café, bringing together founders, operators, and builders from across Fairfield and Westchester County. Led by Darrell DeMakes, the evening combined early-stage startup demos with a grounded look at enterprise AI, reinforcing Stamford’s role as a serious local hub for applied AI.

Three pre-seed teams took the stage. Audio Docent demonstrated AI-powered audio guides, RefineAI showcased a native macOS IDE for prompt engineering, and Waykinder presented tools focused on building communication, confidence, and empathy. Kevin Bird of TEKsystems closed the formal program with a walkthrough of a successful AI implementation, focusing on how teams actually shipped and operationalized the system. As with prior Stamford Demo Nights, the real momentum carried into post-demo conversations, where founders connected with potential collaborators, early hires, and operators who understand the regional market. The chapter continues to grow by prioritizing substance over spectacle.

The AI Collective Twin Cities chapter convened clinicians, engineers, and health tech operators in Apple Valley for The Clinician’s Compass, a focused forum on what clinical AI looks like when deployed in real care environments.

Several themes cut across the discussion. The strongest ROI today is in eliminating after-hours documentation, with live deployments reporting documentation time reductions of up to 80%. Regulatory realities were treated as design boundaries, not abstract risks, reinforcing decision support as the viable path forward. In a region that anchors much of U.S. healthcare infrastructure, the Twin Cities chapter delivered the clear message that clinical AI is already working, quietly, where incentives and workflows are aligned.

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About Noah Frank

Noah is a researcher, innovation strategist, and ex-founder thinking and writing about the future of AI. His work and body of research focus on aligning governance strategies to anticipate transformative change before it happens.

About AJ Green

AJ Green is a founder, writer, VC scout, chairman, and respected community leader in the AI and startup space. A former athlete turned tech entrepreneur, AJ is on a mission to make AI the great equalizer scaling startups, connecting ecosystems, and turning disruption into opportunity.