Alex Rubalcava - “If You're Going to Be an Angel Investor... You Have to Be Devoting Significant Time to It" | #78

Episode Summary

Executive Summary: Alex Rubulkava explains how Stage Venture Partners invests in seed-stage enterprise software, emphasizing that success in venture depends on access to quality deal flow, pattern recognition, and winning competitive rounds. He contrasts enterprise with consumer investing, outlines why AI/ML is commercially real while VR still lacks a killer app, and shares practical guidance on fund selection, diversification, and QSBS tax benefits.

Main Topics: Alex Rubulkava’s path into venture (Priority: 5/5): He entered venture right out of college after hating several internships, then discovered he loved investing while working at Anthem Venture Partners and later transitioned from public equities and angel investing into Stage Venture Partners. Stage Venture Partners’ strategy (Priority: 5/5): Stage is a seed fund focused exclusively on enterprise software, investing in startups with product, early revenue, and a handful of employees. The firm avoids thesis-driven investing and instead follows customer pain points and founder quality. How seed investing really works (Priority: 5/5): Rubulkava breaks venture into three tasks: seeing the deal, understanding the deal, and winning the deal. He stresses the importance of geography, relationships, and being early in the information flow, especially in competitive rounds and accelerators. Enterprise vs. consumer return dynamics (Priority: 4/5): He argues that consumer venture outcomes are dominated by a few outlier hits, while enterprise returns are more cohort-based with many more path-to-exit outcomes. This makes enterprise software more predictable for seed investors. QSBS and private investing advantages (Priority: 4/5): A major segment covers Section 1202 QSBS tax treatment, which can eliminate taxes on gains up to $10 million or 10x the investment. He argues this makes direct startup investing and certain fund investments highly attractive. AI/ML vs. virtual reality (Priority: 5/5): Rubulkava says AI/ML is already producing real revenue across segmentation, optimization, anomaly detection, and image recognition, while VR remains a technology in search of a killer app and has not yet found a compelling use case. Selecting venture funds and managers (Priority: 4/5): For listeners considering LP investing, he recommends backing smaller, newer seed funds with proven track records, strong follow-on outcomes, and access to quality Series A firms rather than trying to do angel investing part-time.

Key Arguments: Venture success is a function of deal sourcing, judgment, and access, not just picking winners; the best founders often go to the best-connected investors first. Enterprise software is a better seed-stage hunting ground than consumer apps because it has more reliable base rates and more exit paths. Accelerators are not an even playing field; the best investors see companies long before Demo Day and build relationships before the crowd arrives. Most new consumer apps fail because they compete with inertia and app-store saturation; only major platform shifts create openings. AI/ML is commercially real today when tied to concrete business outcomes such as higher revenue, lower churn, or predictive maintenance. VR lacks a killer app, so the hardware is ahead of the software/use-case layer. QSBS can materially improve after-tax outcomes for startup investors and should be documented properly in stock purchase agreements. For most people, investing via a diversified, well-run seed fund is preferable to trying to source and manage angel deals part-time.

Data Points: Stage Venture Partners Fund II size: About $20 million - Rubulkava says the firm has moved on from Fund I to Fund II. Typical seed round size: $1 million to $2.5 million - He describes common seed financings for Stage’s target companies. Typical Stage check size: Six figures - Stage usually invests alongside other venture firms or angels. Annual deal flow reviewed: ~1,000 startups per year - Between Rubulkava and his partner, the firm reviews about a thousand startups annually. Annual investments: 8 to 10 per year - Stage expects to make roughly this many investments annually. Portfolio target: ~25 investments per fund - He says the firm aims for about 25 investments over a three-year timeframe. Seed-to-Series A graduation rate: About one-third - He cites data that only about a third of seed-funded companies advance to Series A. Series A-to-B graduation rate: About one-half - He says graduation rates continue to fall by roughly half at each later stage. Consumer app count on iOS: Over 2 million - He uses app-store saturation to explain why consumer apps struggle to break through. App count on Google Play: Over 3 million - Used in his argument about consumer competition and inertia. QSBS gain exclusion: 100% exclusion up to $10 million or 10x investment - He explains the Section 1202 tax benefit for eligible startup investments held five years. QSBS issuer asset threshold: $50 million or under - Eligibility requires a C corporation with gross assets below this level. TV/streaming or app battery example: Twitter was the top battery-consuming app on his phone - He jokes about typical smartphone usage while discussing consumer app behavior. Android investment outcome: 2.2 billion devices in use - He cites Android as a memorable early investment from his Anthem days. Accelerator lead time: ~75 days before Demo Day - He notes he saw a company long before Demo Day, illustrating information advantage. Fund return benchmark: 4x net or more - He says seed funds should target roughly this level to justify venture risk and illiquidity. IRR benchmark: 25%+ - He frames this as the kind of return required for venture capital risk. Investor introductions for one portfolio company: 49 venture funds in 30 days - He gives an example of Stage helping a portfolio company raise its next round.

Pivotal Quotes: "In venture and in angel investing, we think in terms of seeing the deal, understanding and picking the deal, and then winning the deal." — Alex Rubulkava: He summarizes the three core skills required to succeed in venture capital. "Why now is a critical question." — Alex Rubulkava: He explains his firm’s filter for whether a startup is only possible in the current technological moment. "AI and ML can do one of four things: they can do segmentation, they can do optimization, they can do anomaly detection, and they can recognize images." — Alex Rubulkava: He offers a simple framework for evaluating whether an AI business is real or hype.

Implications: For investors, the episode argues for patience, specialization, and strong networks over casual angel activity. For founders, it reinforces that customer pain, timing, and early traction matter more than buzz. For markets, AI appears investable now, while VR still needs a breakthrough use case.