LIGHT STREET CAPITAL MANAGEMENT, LLC — 13F Portfolio

Light Street Capital Management, LLC is a San Francisco-based hedge fund founded by Glen Kacher, a veteran technology investor with a distinguished career spanning several decades in growth-oriented and technology-focused investment management. Kacher is widely recognized in the institutional investment community as a deeply experienced technology sector specialist, having previously served as a portfolio manager at Andreas Capital Management and, notably, as a managing director and senior technology analyst at Integral Capital Partners — the legendary growth and technology fund co-founded by Roger McNamee and John Powell. This lineage places Light Street within a direct intellectual tradition of Silicon Valley-rooted technology investing that emphasizes deep fundamental research, sector expertise, and conviction-weighted positioning in high-growth technology enterprises. The firm files quarterly 13F disclosures with the Securities and Exchange Commission under CIK #0001569049, with filings extending back to approximately 2013, providing over a decade of observable U.S. equity positioning data. This extensive filing history spans a remarkable arc of technology sector evolution — from the early mobile internet era, through the cloud computing revolution, the rise of platform economics and SaaS business models, the COVID-19-driven digital acceleration, the 2022 growth correction, and the emergence of artificial intelligence as a transformative investment theme. For a technology-focused hedge fund, this filing tenure captures an exceptionally informative range of sector-specific conditions. Light Street Capital operates with the lean, founder-led organizational structure characteristic of single-manager hedge funds, where the CIO's personal expertise, network, and conviction drive portfolio construction. The firm's San Francisco location — at the epicenter of the global technology ecosystem — provides direct proximity to the companies, management teams, venture capital networks, and industry dynamics that inform its investment thesis development. Unlike many New York-based hedge funds that cover technology as one sector among many, Light Street's West Coast positioning signals a deliberate commitment to technology sector specialization as its primary competitive advantage.

Light Street Capital Management employs a long-biased, growth-oriented investment strategy with overwhelming concentration in the technology, internet, and disruptive innovation sectors. Glen Kacher's investment philosophy is rooted in deep fundamental analysis of technology businesses — evaluating secular growth trends, competitive dynamics, total addressable market expansion, management quality, product-market fit, and the durability of technology-driven competitive moats. The firm seeks to identify technology companies positioned at inflection points in their growth trajectories, where accelerating adoption, expanding margins, or emerging market opportunities create the potential for significant equity appreciation. The 13F Portfolio Composition across the firm's decade-plus filing history reveals a concentrated, high-conviction portfolio dominated by technology and internet positions. Holdings have historically included leading positions in major internet platforms, cloud computing providers, semiconductor companies, software enterprises, and e-commerce businesses. The portfolio is distinctly non-diversified in the traditional asset allocation sense — technology and technology-adjacent positions frequently represent the vast majority of disclosed holdings, reflecting Kacher's conviction that superior returns in technology investing come from deep sector expertise and concentrated positioning rather than broad diversification. The Top 10 Holdings Concentration within the disclosed portfolio is typically very high, consistent with a single-manager hedge fund model where the CIO maintains a focused book of highest-conviction ideas. This concentration level implies significant dispersion potential — individual quarters may show substantial outperformance or underperformance relative to benchmarks depending on the behavior of a relatively small number of key positions. The firm's position sizing methodology appears to reflect a willingness to build large positions in names where Kacher has developed differentiated insights through his extensive technology sector network and research capabilities. Light Street's portfolio has historically demonstrated meaningful evolution in its thematic emphasis, rotating across technology sub-sectors as different innovation waves have matured and new ones have emerged. Early filings may have emphasized mobile internet and social media platforms, while more recent disclosures likely reflect increased exposure to artificial intelligence beneficiaries, cloud infrastructure providers, and semiconductor companies positioned to benefit from AI-driven compute demand expansion. This thematic rotation within the technology sector reflects the dynamic, research-intensive nature of the firm's process — continuously reassessing which technology sub-themes offer the most compelling risk-reward. Portfolio turnover is moderate to high, reflecting both the dynamic nature of technology sector investing and the hedge fund model's flexibility to adjust positioning aggressively as theses develop or deteriorate. Unlike buy-and-hold strategies, Light Street's approach incorporates tactical elements — trimming positions that have reached valuation targets, building positions in emerging themes ahead of inflection points, and potentially hedging through short positions or options strategies that would not appear in 13F disclosures. Researchers can utilize a portfolio backtesting service to simulate the long-side capital trajectory implied by the firm's disclosed holdings, though it is important to note that 13F data captures only the U.S.-listed long equity positions and does not reflect short positions, options, international holdings, or private investments that may be material components of the hedge fund's total portfolio.

Light Street Capital Management stands as one of the more prominent dedicated technology hedge funds in the San Francisco investment community, built on the deep sector expertise and extensive network of founder Glen Kacher. The firm's 13F filing history under CIK #0001569049, spanning over a decade of quarterly disclosures, provides an exceptionally rich dataset for analyzing technology sector conviction, thematic rotation within the innovation economy, and the compounding behavior of a concentrated growth approach across multiple technology cycles. Key characteristics observable from the public record include an overwhelmingly technology-concentrated sector allocation; high conviction, concentrated position sizing in a relatively focused set of technology names; moderate to high portfolio turnover reflecting dynamic thesis management and sub-sector rotation; and a return profile that is likely characterized by high absolute volatility and significant sensitivity to technology sector-specific sentiment, interest rate dynamics, and growth-versus-value factor rotation. The Sortino Ratio — which penalizes only downside deviation rather than total volatility — may be a particularly informative efficiency metric for evaluating Light Street's strategy, as concentrated technology investing inherently produces elevated upside volatility during favorable environments that should not be penalized in the same manner as downside risk. If the firm's technology selection process generates positively skewed return distributions — with outsized gains during innovation-driven rallies partially offset by managed losses during corrections — the Sortino Ratio may reveal a more favorable risk-adjusted profile than the standard Sharpe Ratio would suggest. The Sector Allocation History across quarterly filings, while dominated by technology, can reveal the sub-sector rotation patterns that define the firm's thematic evolution — tracking the shift from mobile internet to cloud to SaaS to AI across the filing record. These rotation patterns are analytically valuable not only for understanding Light Street's historical positioning but for developing expectations about how the firm may respond to future technology innovation cycles. A diagnostic question for further investigation: As the artificial intelligence investment theme has driven extraordinary concentration in a handful of mega-cap technology names — creating a market environment where the largest AI beneficiaries have dramatically outperformed the broader technology sector — does Light Street's portfolio composition reveal a willingness to concentrate in these dominant AI winners, or does Kacher's deep technology expertise lead the firm toward earlier-stage, less consensus AI beneficiaries in areas like infrastructure software, edge computing, or specialized semiconductor design, and what does this positioning choice imply about the fund's expected return dispersion relative to technology benchmarks should AI enthusiasm moderate or leadership broaden?

The risk profile of Light Street Capital Management's disclosed portfolio is characterized by elevated volatility, high sector concentration risk, and significant sensitivity to technology sector-specific dynamics. As a concentrated technology hedge fund, the firm's long equity positions exhibit substantially higher beta to technology benchmarks such as the Nasdaq-100 than to the broader S&P 500, creating a return profile that amplifies both upside and downside moves in the technology sector. The Max Drawdown Depth across the firm's filing history provides essential insight into the magnitude of potential capital erosion during adverse technology environments. Several key stress events are observable within the filing record: the technology sector corrections of 2015-2016, the broad Q4 2018 selloff, the COVID-19 crash of March 2020, and — most significantly for a growth-oriented technology fund — the prolonged 2022 correction driven by aggressive Federal Reserve tightening. The 2022 episode was particularly punishing for concentrated technology and growth strategies, as rising discount rates drove severe multiple compression across the entire growth technology complex. Many dedicated technology hedge funds experienced drawdowns of 40-60% or more during this period, and Light Street's portfolio behavior during this correction is a critical data point for evaluating the firm's peak-to-trough risk exposure. The Volatility Profile of the portfolio is expected to be substantially elevated relative to broad market indices, reflecting three compounding factors: the high beta characteristics of growth technology equities, the concentrated nature of the portfolio with relatively few positions, and the moderate to high turnover that can introduce timing risk. During favorable technology environments — such as the AI-driven rally of 2023-2024 — this volatility works powerfully in favor of the portfolio. During hostile environments, the same factors amplify losses. An important caveat for risk assessment based on 13F data is that the disclosed long equity positions represent only a partial view of Light Street's total portfolio risk. As a hedge fund, the firm likely maintains short positions, options strategies, and possibly international or private investments that meaningfully alter the total portfolio's risk profile relative to what the 13F long book alone suggests. The 13F-implied risk profile may overstate the fund's actual volatility if significant hedging activity offsets long-side exposure, or it may understate risks if leveraged or options-based strategies amplify the notional exposure beyond what is disclosed in the long equity holdings. Correlation risk is another material consideration. During technology sector selloffs, the historically high correlation among growth technology names — driven by common factor exposure to interest rates, risk appetite, and growth-versus-value rotation — can cause Light Street's diversification across multiple technology sub-sectors to provide less drawdown protection than the apparent number of positions would suggest. This correlation clustering was vividly demonstrated in 2022, when cloud, software, internet, and semiconductor names declined in concert despite having different fundamental characteristics.