Alex Rubalcava - We Want To Help Build Companies That Are Solving Hard Problems That Matter | #177

Episode Summary

Executive Summary: Alex Rubulkava of Stage Venture Partners argues venture capital is not awash in “sloshy” capital; instead, early-stage funding is selective and Series A bars have risen sharply. He highlights active sourcing, the importance of proprietary data and customer insight in AI, the changing SaaS/IPO landscape, and major tax advantages from QSBS for private investors.

Main Topics: State of Venture Capital and Fundraising (Priority: 5/5): Rubulkava says VC remains active but capital is not simply abundant; raising later rounds is harder, seed activity is often underreported, and Stage sources most deals through referrals and networks rather than cold inbound. Series A Bar Has Moved Higher (Priority: 5/5): He explains that enterprise software startups now need much stronger traction—roughly $2-3M ARR and 150%+ growth—to attract top-tier Series A investors, compared with far lower thresholds years ago. Public Markets, IPOs, and Bubble Concerns (Priority: 4/5): The discussion distinguishes today’s IPOs from late-1990s bubbles, arguing that many current losses are from leverage or business-model differences, while strong SaaS companies have justified valuations over time. QSBS Tax Benefits for Private Investors (Priority: 5/5): A detailed explanation of Qualified Small Business Stock shows how investors can exclude up to $10M or 10x basis in gains federally after five years, with caveats around C-corp status, primary issuance, and timing. AI as a Commercial Tool, Not an Immediate Job Destroyer (Priority: 5/5): Rubulkava is bullish on AI investing but skeptical of near-term labor apocalypse narratives, arguing AI will automate and expand workflows rather than simply eliminate jobs, especially amid labor shortages. Portfolio Examples of Data-Driven AI (Priority: 4/5): Examples like Verisim Life and Placer.ai illustrate the value of proprietary datasets and applied machine learning in biotech, consumer location intelligence, call-center coaching, and security/drone mitigation. VC Fund Construction and Founder Support (Priority: 4/5): Stage targets about 25 companies per fund, investing roughly 7-10 per year over about three years, with a large share of work devoted to portfolio support, follow-ons, and helping founders navigate fundraising.

Key Arguments: The “money sloshing around” narrative is overstated; many seed rounds are small, private, and simply underreported. Series A standards have tightened materially, requiring more ARR and growth than in prior cycles. Seed markets look smaller in data because many rounds are not publicly announced until much later. AI creates value when it has proprietary data and strong use cases; algorithms alone are not durable moats. Current AI adoption is more likely to increase consumption of services than eliminate entire professions. SaaS firms should be evaluated with retention, CAC payback, and cohort economics rather than simple GAAP profitability. WeWork-type businesses are not true software companies and deserve caution as public-market tech listings. QSBS can dramatically improve after-tax venture returns and is underused because many CPAs and investors are unfamiliar with it. The best venture firms act like customer-centric operators for founders and LPs, not just capital providers. Low-skilled labor is becoming structurally scarcer, which raises costs for labor-intensive businesses and accelerates demand for automation.

Data Points: Portfolio companies: 23 - Stage Venture Partners portfolio at the time of the interview Startups reviewed per year: ~1,500 - Rubulkava says the firm expects to see about 1,500 startups in a year Meetings/calls taken per year: ~500 - Subset of inbound and referred startups that receive a first meeting Deals meaningfully diligenced per year: ~75 - Companies that get to substantive work in diligence Annual investments: 7-10 - Expected annual pace of new portfolio investments Fund construction: ~25 portfolio companies per fund - Target diversification and hands-on support level Fund deployment period: ~3 years - Typical time to make new investments in a fund Series A traction threshold: $2-3M ARR and 150%+ annual growth - Approximate bar for top-tier VC interest in enterprise software Series A Historical seed round size: $500,000 on $2-3M pre-money - Earlier institutional seed market norms a decade ago Prior Series A size: $5M on $12-18M pre-money - Typical follow-on after the older seed round structure Current pre-Series A capital raised: $5-6M - Average amount raised before a Series A today QSBS federal exclusion: 100% of gains up to $10M or 10x investment - Qualified Small Business Stock tax treatment under Section 1202 QSBS holding period: 5 years - Required holding period for the federal exclusion QSBS asset test: Under $50M in gross balance sheet assets - Issuer qualification requirement for QSBS Labor share at restaurant operators historically: 22-24% of revenue - Approximate labor costs as a share of sales 8-12 years ago Labor share at restaurant operators today: 30-33% of revenue - Illustrates labor inflation pressure on low-margin businesses Incarnation/prison-population decline: Mid-single-digit annual declines - Used to support the argument that mass incarceration is no longer expanding labor supply Unemployment: Lowest structural unemployment in 50 years - Basis for skepticism that AI is about to cause mass joblessness Balto Software founder age at start: 23 years old - Young founders built an AI call-center product that outperformed better-funded competitors Verisim Life founding stage: 45 days old, 2-person team - The company was backed almost immediately after incorporation Drones security analogy: RF-based mitigation, not kinetic interdiction - Drone-defense company can issue commands to redirect drones rather than shoot them down

Pivotal Quotes: "There’s never any money sloshing around me. I hear it. This slosh is going on somewhere, but I don’t know where the slosh is." — Meb Faber: Opening skepticism about VC market narratives and excess capital "We think that there are going to be more job openings than we can handle, and that the robots are not going to be coming fast enough." — Alex Rubulkava: His core rebuttal to fears that AI will rapidly eliminate jobs "We view our founders, the founders of our startups, as our customers." — Alex Rubulkava: His philosophy on how venture firms should operate and create value

Implications: For investors, the episode highlights disciplined sourcing, the power of QSBS, and the need to analyze AI and SaaS through data and unit economics. For founders, it underscores higher funding standards, the value of proprietary data, and the importance of customer traction over hype.