Daily Edition · Page 7

THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & TRENDS

TLDR Founders

SAME GROWTH, HALF THE GO-TO-MARKET TEAM

AI-forward companies are now reaching $10M to $25M in revenue with about 20 go-to-market people, while the rest of the field still needs closer to 35 to achieve the same result. The benchmarks under that shifted too, with median net revenue retention sitting around 108% to 110%, the top quartile holding above 123%, and more comp plans tying pay to net-new recurring revenue. Pricing is the other big move, as outcome-based and usage-based models spread because they track the value you actually deliver and can pull gross margins toward 90%.

WHY AI CHAT STILL BEATS AI VOICE IN SALES

Everyone building AI sales agents reaches for voice first, but the data keeps showing that around 85% of prospects would rather handle it over chat, which is also far easier to deploy, monitor, and fix when it breaks. The teams seeing real results point AI at the routine top of the funnel, qualifying and triaging, then hand the high-value conversation to a human the moment nuance matters. If you are wiring up an AI sales motion, start where it actually converts, and resist making the machine do the part people still want a person for.

INTRODUCING THE FUSION API

The Fusion API allows OpenRouter users to achieve Fable-level intelligence at half the price. Panels of models consistently outperform individual models. Beyond-frontier model performance can be achieved with frontier panels at much lower cost. Fusion creates a panel of several models, each with web search and bash tools enabled, to increase performance. A judge model reads every response and extracts the structure, then a synthesizer writes a final answer grounded in analysis.

THE BEST AI COMPANIES ARE WINNING CONSUMERS AND ENTERPRISES AT THE SAME TIME

For decades, you picked a side, a company sold to businesses or to people, and the whole playbook followed from that one choice. The fastest-growing AI-native companies have stopped fitting in either box and increasingly win both at once, which scrambles how you price, sell, and defend the business. The moats that hold up are the unglamorous ones - proprietary data, the workflow loops people live in, network effects, and brand - the trust that makes someone pick you once the underlying model is a commodity.

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