This is Life in the Singularity.
Technology is a massive gravitational force, compounding in energy every day.
Our readers are building the rockets to slingshot around it, using its momentum to launch themselves ahead of the curve.
This space is your guide to navigating that momentum.
We go far beyond the latest gadgets and fleeting trends; this is about understanding how exponential tech can empower your goals, elevate your daily life, and help you shape a better future. Because the best way to control tomorrow is to build it today.
To succeed in this era, you must utilize these rising capabilities to their fullest.
Life in the Singularity is written for those in the pursuit of mastery:
Business Owners & Entrepreneurs: Scale your company and outpace the competition.
Executives & Leaders: Navigate the changing workplace and guide your teams into a new era.
Investors: Identify paradigm shifts and capitalize on emerging trends before they go mainstream.
Creators & Innovators: Amplify your brand, push creative boundaries, and reach entirely new audiences.
Meet The Author: Matt McDonagh
Investment Banker → Data Engineer → Software Developer → Tech Investor
Matt McDonagh is an agentic AI and data engineer, technology investor, and advisor whose career has been shaped by a single obsession: maximizing return on time.
That pursuit first led him to investment banking, then to co-founding a hedge fund built around automating complex financial analysis. While developing a proprietary method for ingesting and mechanically analyzing financial statements, he saw a deeper truth: AI may be the physics of modern value creation, but data determines its logistics. Scale requires more than a corporate brain. It requires a nervous system capable of moving information, decisions, and work.
Today, Matt designs that infrastructure. He builds AI agent operating systems that combine frontier models with data architecture, business logic, evaluation, governance, and human judgment. His work spans Fortune 500 companies, professional services firms, family offices, private equity firms, investment banks, enterprise B2B companies, and rapid-growth startups. He advises leaders on AI market positioning, implementation strategy, governance, evaluation, go-to-market design, channel alignment, market intelligence, portfolio risk, and solution positioning.
Matt’s hands-on engineering experience also shapes his approach as an investor. Rather than judging an AI company by its interface, he examines the systems beneath it: data logistics, agentic architecture, revenue maturity, security, and product viability. Building the future gives him the lens to invest in it.
He founded McDonagh Technologies in 2012 to hold and license the intellectual property developed for his hedge fund. Although the fund closed, the experience began a longer career in technology building and investing. His early angel portfolio included hard lessons (including three initial investments that went to zero) and a cybersecurity company later acquired by Facebook.
That path led to RevSystems, where Matt developed a “heartbeat” architecture that listens to CRM and business systems, then sends proactive signals to revenue leaders. Over the past decade, he has evaluated more than 2,000 companies while building revenue and operating systems across industries.
Matt has built in Python since 2009, Salesforce for more than a decade, JavaScript and TypeScript across the stack, and Rust since 2023. His work sits where AI, data, revenue, and security converge: the infrastructure that turns emerging technology into durable operating leverage.
Today he helps clients translate AI ambition into operating architecture, stronger revenue systems, and execution that compounds enterprise value over time.
Our Audience
Read by….
VCs in San Francisco
Investment Bankers on Wall Street
Technologists Everywhere
Executives from Across Industry:
