Grit

Inside the AI Startup Making Customer Support 65% Cheaper

The AI Race Has a Leaderboard | Arena CEO Anastasios Angelopoulos

Arena serves as the critical "call sheet" for the AI industry, transitioning from a simple leaderboard to a data-driven insights platform that helps labs optimize model performance. By measuring utility through real-world user interactions rather than static benchmarks, the platform identifies which models effectively ...

Data Centers in Orbit by 2028: Baiju Bhatt on His Plans After Robinhood

Booking.com CEO on AI and the Future of Travel

Ex-Twitter CEO on Why AI Needs a New Internet | Parag Agrawal

AI agents are poised to utilize the web at a scale 1000x greater than humans, necessitating a fundamental shift in infrastructure and business models. Parag Agrawal, former Twitter CEO and founder of Parallel, argues that the future of the open web depends on creating new incentive structures that reward high-quality, ...

The Sales Framework Every Founder Needs | Mark Roberge

Product-market fit is fundamentally about creating promised value for customers, best quantified by retention rather than vanity metrics like revenue or inbound demand. Establishing a leading indicator of retention—defined as a specific percentage of customers performing a recurring action within a set timeframe—allows...

Airwallex's Jack Zhang on Fintech, Failure, and Growth

Why 80% of the Fortune 100 Chose Qualtrics | Ryan Smith

Scaling B2B software companies requires more than just technological innovation; it demands a disciplined go-to-market strategy and sustainable sales productivity. Current AI-driven market hype often leads founders to accept excessive capital at inflated valuations, creating unsustainable growth pressures that can dera...

What It Takes to Build Software for 171,000+ Restaurants | Aman Narang

What It Takes to Build a Generational Company | Anduril’s Trae Stephens

Founders Fund partner and Anduril chairman Trae Stephens examines the essential role of founder-market fit and the necessity of maintaining operational velocity in early-stage company building. Success stems from identifying unique, world-class operators rather than adhering to rigid industry theses, as evidenced by th...

How AIG Is Reinventing Insurance With AI | Peter Zaffino

Transforming a legacy institution like AIG requires a leadership style that prioritizes bold, non-consensus decisions over comfortable agreement. Effective organizational change necessitates a degree of dissent and apprehension, signaling that proposed shifts are sufficiently ambitious. By integrating advanced artifici...

From Airbnb to Linear: How Karri Saarinen Redefined Product Design

Building a high-performance software company requires prioritizing focus and product quality over the traditional tech industry model of rapid, aggressive hiring. Linear CEO Karri Saarinen advocates for maintaining small, efficient teams to ensure clarity and prevent organizational bloat, arguing that hiring more peopl...

How Kevin Mandia Built the Most Trusted Name in Cybersecurity

The Silicon Valley Insider In The Pentagon | DoW Emil Michael

How Sierra Is Pulling Ahead in the AI Race | Co-founder Bret Taylor

Building history-making AI companies requires navigating extreme competition, managing inflated valuations, and resisting internal storytelling that masks failure. Bret Taylor, CEO of Sierra, emphasizes that success in the enterprise AI space depends on hiring high-agency talent and maintaining a direct connection with...

How Malwarebytes Is Protecting Millions In The Era Of AI Scams | Marcin Kleczynski

The Truth Behind Automation Claims in Customer Support | Cresta CEO Ping Wu

The Safest Dollar on the Internet | Circle CEO Jeremy Allaire

Circle's co-founder and CEO, Jeremy Allaire, discusses building an internet financial platform, focusing on the evolution of money and economic systems through blockchain technology. Allaire envisions a shift towards "on-chain" companies, where corporate functions are executed via smart contracts and AI. He highlights ...

Why We’re Only Using 1% of AI | Glean CEO Arvind Jain

Building history-making companies in the AI industry requires navigating extreme competition and rapid technological shifts that render existing codebases obsolete within a year. Arvind Jain, CEO of Glean, emphasizes that scaling to a thousand employees necessitates a transition from product-centric focus to rigorous o...

The Grittiest Conversations of 2025: AI, Business & Beyond