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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & TRENDS

TLDR Founders

7 QUESTIONS EVERY DATA TEAM SHOULD ASK THE BUSINESS

Most data teams struggle with the same problem: nobody knows what to work on. The business asks for dashboards, the analysts build them, and a month later, everyone quietly stops using them. This piece argues it's a conversation problem. The author's team at Facebook used to sit down with every department twice a year and ask questions that got to the real issues: What's keeping you from hitting your targets? When was the last time data changed your mind? Where are you putting in effort without results? These questions don't sound technical, but they surface where data can actually help. If you stop asking what people “need from data” and start asking how they make decisions, you'll finally find work that matters.

ELAD GIL'S FRAMEWORK FOR SPOTTING BILLION-DOLLAR MARKETS BEFORE THEY LOOK BIG

Markets beat teams beat ideas - great teams can't escape bad markets, but great markets give you multiple shots on goal. Wedding invitations seemed too niche, payroll too boring, file storage too late, then became Minted, Gusto, and Dropbox. Four principles for finding overlooked opportunities: use first principles to ask what's changed in cost or infrastructure, scratch your own itch with real pain, not vague ideas, build product-first because "would you use this" is weak but "would you pay now" is real, and look where smart people tinker for fun before mainstream notices.

BUILD A BILLION-DOLLAR STARTUP WITH A MINIMAL TEAM THANKS TO AI

Instagram sold for $1B with 13 people. WhatsApp had 55. PostHog ships with pods of two to six, and Basecamp runs profitable software with roughly 30 and no managers. The observable pattern is to design for systems over headcount. In practice, that means your engineer answers the support ticket instead of waiting for “customer success,” your designer pushes copy tweaks straight to production instead of filing a Jira ticket, and your founder still writes the onboarding emails because it keeps them close to the user.

CHATGPT FOR COMPETITIVE ANALYSIS

Most people use ChatGPT to ask who their competitors are. This team turned it into a newsroom analyst. They dropped in homepage links, headline lists, and keyword data from Toronto outlets and had it break down tone, coverage gaps, and what kinds of stories each publication actually wins on. It found patterns humans miss, like which sites dominate “how/where/when” searches or bury strong topics under weak headlines. It's the first real glimpse of AI used not for shortcuts, but for curiosity at scale.

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