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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & TRENDS

TLDR Founders

HIRING WITH AI

Recruiting feels perfectly aligned with AI capabilities because, at its core, it's mostly a data problem. This article looks at the state of the AI recruiting industry. Every AI recruiting company seems to run into the same problems: recruiting isn't very frequent, causing natural user churn; companies can use multiple platforms at once, so there's no loyalty or lock-in; a data moat is hard; and the long-term winner needs to become part of the broader recruiting window to scale. The space is still early, and markets can be unlocked with new capabilities.

WHAT IS TALENT AND TALENT ENGINEERING

'Talent' and 'Talent engineering' are two new roles that have recently emerged. Frontier labs, VCs, and startups are hiring for both roles. A 'talent' is a person who is great at attracting smart people and has deep relationships with all of them. A 'talent engineer' is someone who loves to build people tools and is also a great engineer. The highest talent density companies now hire based on a blend of talent and talent engineering rather than using the traditional model of recruitment.

HOW TO KILL CHURN

You can't out-onboard a customer who only needed you once. 10% monthly churn means rebuilding 70% of your user base every year. The biggest lever is category choice, because a daily marketer workflow retains nothing like a one-time birthday-card job. Blended churn hides the split between sticky cohorts and tourists, so the work is steering ICP, onboarding, and acquisition toward the people who come back. Annual plans, dunning, and win-back flows help at the margin, but choosing a repeat-usage customer is the whole game.

X NOW OFFERS AN MCP SERVER TO MAKE ITS PLATFORM EASIER FOR AI TOOLS TO USE

X has released a Model Context Protocol (MCP) server that lets AI tools communicate with the X API. The new MCP doesn't add new capabilities beyond what X's API already offers - it just makes them easier to use for AI applications. The integration turns X into an information network filled with real-time data to retrieve and analyze. The MCP tool is not compatible with X's Write API endpoints, so it can't be used to post autonomously.

THE WORLD AS MODEL

High-frequency trading firms succeeded by developing systems that effectively extracted predictive signals from market data at millisecond timescales. Companies are now applying similar approaches to the physical world, creating digital representations of industrial processes to optimize financing and trading of physical assets. The focus is on developing the "reality stack" to turn physical signals into actionable financial intelligence, reshaping markets and investment strategies.

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