Value Hive
Value Hive

Dan McMurtrie: Research Process, Inverted Shorts & Post-Consciousness

This week we chat with Dan McMurtrie, co-founder and Portfolio Manager of Tyro Partners. Tyro manages assets for Institutions and High Net Worth Individuals. We utilize a deep dive research process focused on evaluating the secular trends and supply chains driving Technology, Healthcare, Industrial,

Featured Speakers

Brandon Beylo HostDan McMurtry Guest

Topics Discussed

Episode Summary

Executive Summary: Dan McMurtry of Tyro Partners explains a research-and-risk framework built around “inverted shorts,” mandate/constraint analysis, and behavioral context. He argues the best opportunities arise when downside is removed, a short thesis becomes obsolete, or a business shifts into a new, more investable state. The discussion also emphasizes culture, network-building, and process robustness over single-stock heroics.

Main Topics: Inverted shorts as long ideas (Priority: 5/5): McMurtry describes looking at broken or heavily shorted names and asking when the short thesis becomes obsolete. If downside is removed but upside remains, the stock can become a compelling long with better risk/reward. Constraint- and mandate-driven investing (Priority: 5/5): He argues markets are driven less by Mr. Market and more by constraints, agency costs, and benchmark/mandate pressures. Understanding who owns or can’t own a stock is central to anticipating price moves. Behavioral context and who is at the table (Priority: 5/5): He stresses understanding the incentives, positioning, and constraints of other market participants, not just the business itself. Contextual intelligence and social networks are treated as a real edge. Fads, communities, and consumer adoption (Priority: 4/5): McMurtry outlines a framework for spotting durable trends versus fads: content, reference, advocacy, and community. He looks for products that become habits, references, and eventually ecosystems. Process design and risk management (Priority: 5/5): The conversation repeatedly returns to position sizing, avoiding binary fire-drill risk, and building a portfolio/process that can survive shocks. He prioritizes compounding and robustness over maximizing upside on any one name. Networks, collaboration, and human capital (Priority: 4/5): He argues career success depends heavily on building an ecosystem of smart, helpful relationships. Networking is framed as value creation, signal generation, and long-term compounding of human capital. What makes a business durable in a digitized world (Priority: 4/5): He believes technology is increasingly lowering friction in human processes and enabling niche communities, addictive products, and new metagames. Investors should focus on businesses that align with subconscious behavior and durable human needs.

Key Arguments: The most attractive opportunities are often former shorts where the original thesis is now outdated, but the market still prices them like a short. Downside removal matters more than timing the exact bottom; when risk collapses and upside remains, position size should increase. Markets are best understood as networks of smart actors with constraints, not as irrational Mr. Market caricatures. Mandate-driven ownership and benchmark pressure create predictable flows that can be exploited on both the long and short side. A business becomes investable when incremental information changes both fundamentals and market participants’ interpretation of those fundamentals. Durable consumer or software products tend to evolve from content to reference to advocacy to community; fads stall before reaching community. The best investments are the ones that are easy to underwrite, easy to monitor, and do not create psychological or operational stress for the team. Human capital, network quality, and collaboration matter as much as, or more than, stock-picking skill over a long career. Young/emerging managers usually fail from operational and personal fragility, not from bad stock selection. Investing should be aligned with the manager’s temperament and process; forcing oneself into areas outside the inner circle of competence creates wasted time.

Data Points: Core long position size: 4% to 7% of portfolio - Typical starting size for a core position at Tyro Partners. Aggressive conviction size: Up to 10% at cost - When confirmation is strong, they may increase sizing materially. Maximum run-up concentration: Up to 20% of portfolio - Successful positions can grow to very large weights. Ideas reviewed vs invested: Roughly 50 names reviewed for about 3 investable ideas - He describes a high-screening, low-conversion process. Time to re-underwrite a familiar name: About 48 hours - For businesses in the “greatest hits” file with existing research and network context. Tyro Partners operating history: 5 to 6 years since launch - Used in discussing how the firm has developed its timing and sizing muscle. Investor/manager universe: About 270,000 active CFAs - Used to argue there is little pure information edge left in public markets. Dunbar number: ~250 people - Referenced as a social-networking limit that digital tools can now expand beyond. Blue-chip reach in an industry: 70% of spending - He recommends understanding the big incumbents first before going small-cap in an industry. Fundraising windows: 2 major annual windows - He notes fundraising is seasonally concentrated around late summer/fall and early-year periods. Snapchat mistake: A clear example where he was wrong - He cites Snapchat as a case where he thought it was a fad, partly due to age/context bias. Naive growth example: Celsius drink thesis - A previously shortable business where the short thesis became obsolete as the business improved.

Pivotal Quotes: "When something happens where all of a sudden the company can't go bankrupt anymore... the risk reward may be better." — Dan McMurtry: Explaining why downside removal can make a stock attractive even if upside expectations are lower. "I just don't think the caricature of irrational people is useful." — Dan McMurtry: His critique of the Mr. Market framework and preference for constraint-based analysis. "I'm trying to figure out why a smart person is going to have a blind spot." — Dan McMurtry: How he frames market analysis as understanding incentives, constraints, and blind spots in a network of sophisticated participants.

Implications: Listeners should focus less on predicting every move and more on understanding constraints, adoption paths, and process robustness. The episode argues that long-term edge comes from context, networks, and disciplined sizing—not from hero trades or vague contrarianism.

🔓 Sign Up for Unlimited Episode Search

About Value Hive

Welcome to The Hive! It's nice in here, isn't it? The Hive is a collection of investors, entrepreneurs, thinkers and individuals dedicated to getting a little smarter each day. If you're a fan of value investing, business models, eclectic success and failure stories -- this is your podcast. Our goal is to provide you the highest quality interviews with new twists on old topics. Fresh perspectives on antiquated ideas. Passionate discourse on all things investing. Join us as we strive to improve a little bit each day: https://macro-ops.com/

View all episodes from Value Hive