After VC:
Ten Models
That Actually Work
The 20x fund model is broken. Power law math requires most founders to lose so a few can win big. There's a different way — 10 structures borrowed from other industries that move dollars to founders and still deliver meaningful investor payback.
Traditional VC demands power law returns. That means structurally, most founders must fail so a handful can return the fund. The model optimizes for outliers, not outcomes.
Capital is concentrated. Dry powder sits idle. Emerging markets and regional founders are structurally excluded. LPs want shorter cycles, more certainty. The 10-year blind pool is aging badly.
Payback is still the goal — but reframed. Consistent 2–5x beats one 20x and nine zeros. Shorter cycles, shared upside, and aligned incentives look more like real estate and film than a sand hill term sheet.
Investors provide capital in exchange for a fixed percentage of future revenue until a cap is repaid — typically 1.5–3x. No equity dilution, no board seats, no liquidation preferences. Founders keep control. Investors get consistent cash flow with defined exit. The music industry has done this forever — Spotify's advance model is just RBF for artists.
A pool of founders collectively contribute capital and governance rights. Members invest in each other's companies, share networks, and receive proportional distributions when any member exits. The Mondragon cooperative model — 80 years old — proves collective ownership at scale works. The twist: founders become each other's investors, aligning incentives from day one.
Capital is deployed against a defined profit-share waterfall — think Hollywood backend deals, but cleaner. Investors receive X% of net profits annually after a defined threshold, for a defined term (say, 7 years), then the agreement terminates. No perpetual equity. No liquidation events required. If the company never sells, investors still get paid. Film studios have structured this since the 1940s.
Traditional venture debt required VC backing. The new version doesn't. Community development finance institutions (CDFIs) and specialized lenders now write convertible or term debt against ARR, IP, or contracted revenue — not equity raises. The real estate industry uses bridge loans against future value constantly. The same logic applies to a SaaS company with $500K ARR but no institutional backing.
Companies tokenize equity stakes on blockchain rails — allowing fractional, tradeable ownership with automatic distribution of dividends or revenue shares. REITs have democratized real estate ownership for retail investors for 60 years. The same infrastructure, applied to startup equity, creates a liquid secondary market without a $100M IPO threshold. Regulation CF and Reg A+ are the regulatory on-ramps already in place.
Governments and institutions pay for outcomes, not outputs. A fund invests in companies solving measurable public problems — workforce training, healthcare access, housing — and the government or anchor institution agrees to pay a defined return when outcomes are achieved. This flips the model: instead of hoping for an IPO, investor payback is contractually tied to verified results. The UK pioneered this in social services; it scales to climate, workforce, and infrastructure tech.
Fund the founder, not just the company. Athletes and entertainers receive career-stage capital in exchange for a percentage of future earnings across all ventures — not tied to one company. Applied to founders: an investor funds a proven operator's next 10 years across whatever they build. The risk is diversified across the founder's entire career output, not a single binary outcome. The math works when you bet on the person, not the pitch.
The classic search fund model: investors back an entrepreneur to find and acquire an existing profitable SMB, then run it. The 2.0 version applies this to tech-enabled businesses with recurring revenue but no founder succession plan. There are 4 million US businesses owned by retiring boomers — many of them quietly profitable, ignored by VC. The searcher acquires, modernizes, and grows them. Payback comes via distributions and eventual resale, not a unicorn. Average search fund returns roughly 5x over 7 years.
Stack two layers: an anchor investor (corporation, government, family office) provides the first tranche in exchange for strategic access or community benefit, then a community raise (Reg CF, up to $5M) fills the remainder from customers and advocates. This de-risks the anchor's position and gives the community ownership in companies they already support. Cities do this constantly for infrastructure — it's never been applied systematically to startup capital stacks.
Pharmaceutical development has always used staged capital tied to clinical milestones — Phase 1 unlocks Phase 2 funding. Applied to startups: investors commit a total fund amount, but release capital in tranches only when verified milestones are hit (first customer, $100K ARR, first hire, etc.). This shifts risk from calendar time to achievement time, dramatically reducing loss from founder drift or premature scaling. The actuary logic is simple: don't pay out until the risk event resolves favorably.
The biggest mistake would be trying to pick one of these and declare it the replacement. The real opportunity is mixing and stacking — a milestone-triggered tranche structure sitting on top of a community + anchor stack, with RBF as the payback mechanism once revenue hits. That's three models working together, none of them VC.
Models 2, 9, and 6 work best together. Cooperative capital, community stacking, and outcomes-tied government payback create a self-reinforcing regional loop that doesn't require Sand Hill attention.
Models 1, 3, and 10 are founder-friendly and control-preserving. Revenue share, profit participation, and milestone tranches avoid the dilution trap while giving investors real payback paths.
Models 8, 7, and 4 offer the clearest return visibility. Search funds, human capital contracts, and next-gen venture debt have track records, not just theory — and they beat the zero-heavy fund average.