Kevin Hartz’s A* just closed its third fund with $450 million

A* Capital announced a $450 million Fund III, with average checks of $3 million to $5 million and a target of at least 30 startups over the next two to three years. The generalist venture fund will back AI, fintech, healthcare, and security companies, and counts Carnegie Mellon University among its publicly named LPs. The raise follows its $315 million Fund II in 2024 and $300 million Fund I in 2021, reinforcing ongoing investor support for the firm.

Analysis

This capital raise is less about a single venture fund and more about a fresh liquidity signal for the private-growth complex. When a top-tier early-stage platform expands check size and fund count at this pace, it tends to push up valuations one layer downstream: later-stage crossover investors get fewer hard-marked entry points, and public comps tied to private winners can de-rate relative to headline growth because more value migrates before IPO. The beneficiaries are the private companies likely to remain off-market longer, while public-market investors increasingly pay for “quality growth” after the easy venture upside has been arbitraged away.

The second-order effect for fintech and software is that a large, generalist seed-to-A fund can intensify winner-take-most behavior in AI applications and financial infrastructure. That creates a broader funnel for talent and customer acquisition, but it also raises the odds of duplicate capital being sprayed across similar models, which can compress future returns in crowded categories. If the firm’s thesis on very young founders continues to scale, it may also increase the supply of founder-led companies that are pre-product but fast-moving, which is bullish for experimentation yet negative for incumbents that rely on slower enterprise sales cycles.

For public equities, the article is only modestly positive for the named legacy exposures: the real signal is reputational, not operational. The entrepreneurial halo around prior winners supports the narrative that payments and event-platform adjacencies remain durable talent factories, but neither name gets an immediate earnings revision from a new fund close. The better trade is to look for where private capital abundance delays public listings in AI/fintech, extending the window in which listed incumbents face “too small to matter, too large to acquire” competition from well-funded private peers.

The contrarian view is that this is late-cycle venture exuberance rather than a clean bullish read-through. A larger fund can worsen dispersion: more checks, more overlap, and a higher bar for venture IRR if exit markets stay shut for another 18-36 months. If secondary pricing or late-stage rounds soften, the same strategy that looked disciplined in a frothy market can become a return drag quickly.

Key Decisions for Investors

• Long public incumbents with durable distribution in payments and event software versus late-stage private competitors: PYPL / EB as relative-quality holdings, but treat as modest position sizes only; this is a sentiment tailwind, not a catalyst for immediate multiple expansion over the next 1-3 months.
• Pair trade: long profitable fintech platforms with real scale, short basket of high-burn private-growth proxies via public comps if available; if not, express through listed AI/software names most exposed to venture-funded disruption. Horizon: 6-12 months, thesis is private funding prolongs competitive pressure before monetization.
• Avoid chasing listed AI/fintech momentum after fund-close headlines; use any post-news strength to fade into strength on crowded high-multiple software names. Risk/reward favors waiting for a broader rates or liquidity wobble to reset public valuations over the next 1-2 quarters.
• Watch for IPO pipeline implications: if venture funding stays robust but exits remain scarce, consider long volatility in consumer/fintech IPO baskets around listing windows. The setup is asymmetric over 6-18 months because first-day pops can coexist with weak post-lockup performance.
• If looking for a thematic overlay, favor cybersecurity over generic AI applications in public markets; the funding boom will intensify attack surfaces and compliance spend more reliably than it will expand near-term AI monetization. This is a cleaner 12-month fundamental trade than trying to chase venture sentiment directly.