Here’s a secret about venture capital: most investors lose money on most of their bets. But the few that win? They win so big they make everything else irrelevant.
This creates a strange problem. Imagine you’re playing a game where 90% of your lottery tickets are worthless, but the winning 10% pay out wildly different amounts. Some return 3x your money. A few return 30x. And maybe, just maybe, one returns 1,000x.
Your strategy depends on one question: Should you buy as many tickets as possible, or should you save money to buy more of the tickets that start looking good?
This is the central debate in early-stage venture capital. It’s called “reserves versus no reserves,” and it’s one of the hottest arguments in the industry. For a firm like Team Ignite, which plans to invest in roughly 100 startups per year with low initial ownership each, getting this right isn’t academic. It’s the difference between a decent fund and a spectacular one.
Let’s run the numbers.
The Case for Buying More Tickets (No Reserves)
Think about the last time you bought a lottery ticket. You probably didn’t win. Now imagine buying 300 lottery tickets. Your odds improve dramatically, right?
This is the core logic behind the “no reserves” strategy: invest in as many companies as possible with your initial fund, and don’t set aside money for follow-on investments. The math is surprisingly compelling.
More Bets = Higher Odds of Hitting the Jackpot
Early-stage investing is brutally unpredictable. Even the best venture capitalists are often wrong about which company will become the next Google. The solution? Stop trying to predict perfectly, and just invest in more companies.
Angel investor Kevin Dick ran simulations that illustrate this beautifully. With a 20-company portfolio, there was about a 7% chance of losing money. But with 100 to 150 investments? The risk of losing money essentially disappeared, and the portfolio reliably captured the overall market returns.
Why? Because in a world where outcomes follow a power law (where a tiny fraction of winners generate the bulk of returns), your main job is making sure you don’t miss the big winners. The more tickets you buy, the more likely you are to own one of them.
The Hidden Cost of Sitting on Cash
Here’s something most people don’t realize: every dollar you reserve for follow-on investments is a dollar you can’t invest in a new company. And that trade-off often doesn’t pay off.
A recent simulation study by VC investor Othman and others found that a “never follow” strategy, with no reserves at all, produced the highest median fund outcome. It beat strategies that always followed on, or that selectively followed on.
The reason? Unless you have perfect foresight about which companies will become massive, you’re better off spreading your bets widely. In many simulations, funds that reserved capital actually missed the biggest winner in the market because their money was tied up in earlier follow-ons. Meanwhile, the seed-only funds stayed flexible and captured that outsized deal.
Every dollar held back is a dollar not invested in the next potential unicorn. That’s an expensive opportunity cost.
The Math That Drags You Down
Here’s where it gets interesting. Large reserve pools can actually hurt your returns, even when you use them.
An analysis by Sapphire Partners called this the “dirty secret” of venture reserves: more often than not, reserves lower fund multiples rather than boost them.
Why? Let’s say you set aside 50% of your fund for follow-ons. You’ve effectively doubled the amount of capital that needs to earn a high return. Unless those reserve dollars perform as well as your initial investments (they usually don’t), they drag down your average.
Sapphire’s modeling showed that a “spread the wealth” approach, where you follow on in most portfolio companies that reach Series A, yielded only about a 3.4x return on the reserve capital. This dragged a hypothetical fund’s gross multiple from 5.5x down to 4.5x, and the net return from roughly 4.0x to 3.3x.
Worse, if you deployed reserves widely but missed your one big winner, the model’s net multiple plummeted to roughly 2.5x.
The lesson: pouring follow-on money into companies that turn out to be merely “okay” (or fail) and mathematically dilutes your returns. A seed-only fund avoids this performance drag entirely.
You Need Smaller Wins to Succeed
Another hidden cost of reserves: they raise the bar for what counts as success.
With only initial checks, a smaller fund can be returned by a modest slice of a moderate exit. But if you double your fund size by reserving (turning a $50M fund into effectively $100M deployed), you now need correspondingly larger exits to deliver the same multiple.
One estimate found that a $50M seed fund with roughly 7.5% ownership at exit might need a $660M outcome to return the fund. But a $100M vehicle (after follow-ons) would require a $1 billion exit, even if it increased ownership to 10%.
By keeping the fund smaller and focused on initial bets, you don’t raise the hurdle. A few $300 to $500M exits could produce great returns, whereas a larger follow-on fund would only be moved by billion-dollar outcomes.
This matters especially at pre-seed and seed stage, where expecting multiple unicorns is unrealistic. Staying lean means small wins count more.
Quick takeaway: No-reserves funds succeed more consistently because they need smaller outcomes to win, avoid tying up capital that could find new deals, and don’t dilute returns with mediocre follow-on investments.
When Does No-Reserves Make the Most Sense?
Smaller funds often lean toward no-reserves. If follow-on rounds happen at high valuations or in quick succession (common in hot markets), a small fund is often better off deploying those dollars into additional first checks.
The earlier you invest (pre-seed versus later stages), the more unpredictable the outcomes and the higher the early failure rate. This strengthens the argument for broad diversification.
Team Ignite’s AI-assisted selection might improve our picking ability, but at the pre-seed stage it’s still very hard to know which of our 300 startups will be the next $10B company. A seed-only fund model ensures we maximize coverage of the opportunity set. We won’t miss the next big winner because we ran out of initial-check capacity.
The Case for Doubling Down (Reserves)
But wait. Many top-performing funds swear by the opposite strategy: using follow-on capital to double or triple down on winners once they emerge.
The idea is simple and seductive. It’s not enough to find outliers. To turn a good fund into a great fund, you need meaningful ownership in those outliers. That’s where reserves come in.
The Data Is Pretty Convincing
A recent analysis by Primary Venture Partners looked at 150+ mature VC funds and found a stark difference between merely “good” performers and elite performers.
The great funds (18x+ returns) invested about 39% of their capital into the top 23% of their deals (the ones that went 5x or more). The merely good funds (3 to 4x returns) only put roughly 18% of capital into their 5x+ outcomes.
In practice, the great funds kept roughly 40% of their fund capital in reserves for follow-ons, while the average funds kept less than 20%.
The result was transformative. Had the “good” funds deployed capital like the great funds did (concentrated more in winners), their modeled returns would have jumped from roughly 3.5x to over 8x.
This data suggests that an ability to identify and heavily back your big winners can be the difference between a middling 3x fund and a home-run 8 to 10x fund. Reserves give you the firepower to turn a 3x outcome into a 6x, or a 6x into a 12x, by buying more of a winner’s cap table when it’s de-risked and growing.
You Know More Later
The rationale behind reserving is straightforward. Your first check is made with limited information and high uncertainty. But by the time of the next round, you have much more data on the company.
Ideally, follow-on checks are “de-risked dollar deployment.” The GP has a close relationship with the team and proprietary insight into their traction, so they can make a better-informed bet in the Series A or B.
If done right, these second checks are more likely to succeed than the initial checks, boosting returns.
In Team Ignite’s context, by year 2 or 3 we might observe which of our 300 seed companies have real revenue or user growth, allowing us to concentrate capital on the truly promising ones. As one seed investor put it, “after two years of working with 11 founders, I know which companies are likely winners. My second bet was far better informed than my first.”
Reserves give a fund the optionality to capitalize on that information edge and maintain ownership in the breakout stars, rather than watching our stake get diluted to insignificance.
Dilution Is Real and Painful
With a pure “spray and pray” approach (no reserves), a seed fund’s ownership in a rocketship company can shrink dramatically by exit.
If we start at roughly 3% and then do not follow our pro-rata in subsequent rounds, by Series B or C our stake might fall below 1%. That can mean leaving a lot of money on the table.
A modest follow-on reserve can often maintain your percentage ownership through Series A and beyond. This can be critical for fund economics, especially if the initial check sizes are small.
For instance, owning 3% of a $500M exit yields $15M. But bumping that to 6% through follow-ons would yield $30M. In a fund targeting a 5x return on (say) $30M, that difference (15M extra from one deal) could be the swing between a 4x and a 5x.
Many seed managers view pro-rata rights as incredibly valuable. If you’ve found a potential unicorn, being able to write a bigger check into it is a huge advantage. Great funds in the Primary study poured nearly 24% of their total capital just into their 10x+ outcome deals. They made sure to maximize ownership in the runaway successes.
When Reserves Work, They Really Work
Modeling by Sapphire Partners shows that a disciplined reserve strategy focused on true outliers can indeed lift a fund’s returns.
In Sapphire’s best-case simulation, a seed fund deployed half its $50M reserve pool into the top 3 performers (identified early), and the other half into a few that didn’t pan out. Despite some wasted reserve dollars, the follow-on investments still generated an 8.6x blended return, boosting the fund’s gross multiple from 5.5x to 7.1x (roughly from 4.0x to 5.0x net).
In other words, smart reserves turned a roughly 5x fund into roughly 7x.
The catch is that a lot has to go right for this rosy scenario. The GP must accurately identify a small subset of companies that will become huge winners and deploy very large follow-on checks into them early on. But when it works, it elevates the fund into the top echelons of performance.
Quick takeaway: Reserves can multiply returns if you can identify breakout winners early and concentrate capital there. But you have to be right about which companies will succeed, and that’s really hard.
Running the Numbers: Two Scenarios
Let’s make this concrete with a simplified model for a hypothetical $30M pre-seed fund.
Scenario 1: 300 Investments, No Reserves
The fund makes 300 investments of $100k each (total $30M, ignoring fees for now), targeting roughly 2% ownership per deal at seed. It does not participate in follow-ons, so by exit the average stake is diluted to roughly 1% or less.
In a power-law outcome distribution (50% failures, 20% break-even, 20% moderate 4x wins, 10% home runs 30x+), most investments go to zero, a few produce 5 to 10x, and maybe 1 in 100 becomes a 100x.
With hundreds of investments, it’s highly likely to hit one of the top 1% outcome startups. The downside is that for each winner, the fund’s ownership is small.
If one company reaches a $1B exit and we end with roughly 1% ownership, that’s a $10M return (0.33x fund return). We’d need multiple such wins, or one true unicorn/decacorn, to return the fund.
The median outcome in this scenario might be a decent 3 to 4x fund (because the law of large numbers helps ensure at least a couple moderate wins). The upside could be higher if a Google-like outlier appears, but the path to, say, an 8x fund likely requires a huge home run with only a small stake.
Scenario 2: 200 Investments + Reserves for Follow-Ons
The fund makes roughly 200 initial investments of $100k ($20M total), and holds $10M (33% of the fund) in reserves. These reserves are used to follow on in, say, 20 of those 200 companies (the 10% that show the strongest traction). The fund writes roughly $500k of follow-on checks into each of those 20 winners over time (maintaining or increasing ownership to perhaps 4 to 5% in those).
Now, if one of these 20 breakout companies achieves a $1B exit with roughly 5% ownership, the fund’s return from that deal alone is $50M, a 1.67x fund return from one company (versus 0.33x in Scenario 1). A couple of such outcomes could return the entire fund multiple times over.
However, the risks: What if our 20 follow-on picks don’t include the one company that becomes a $1B+ superstar? Then we miss the biggest win and we’ve also used up capital on others that may only be 1 to 2x. And by making only 200 initial bets instead of 300, we had 100 fewer lottery tickets in play. Possibly we excluded some companies that might have been winners.
The simulation data shows that unless our follow-on selection is very sharp, a strategy that concentrates on a subset can underperform the broader approach in many cases. In return terms, Scenario 2’s median fund might end up lower (because if none of the followed companies are massive, the reserves only produce roughly 1 to 3x returns and weigh down the total).
But the mean (average) outcome could be higher than Scenario 1, driven by those occasional spectacular wins where reserves were poured into a unicorn. Essentially a higher risk, higher reward profile.
What This Means
These scenarios highlight the fundamental trade-off: diversification versus concentration.
With no reserves, you maximize diversification (300 bets), which tends to raise the floor of outcomes. You’re less likely to completely miss the market’s big successes, but you might only have tiny slices of them.
With reserves, you accept more concentration (fewer initial bets, and a lot more capital on a few companies). This lowers the probability of covering every possible big winner, but if you hit and pick right, the fund’s peak returns can be much higher by virtue of larger ownership.
The findings align with this: “never follow” produced the highest typical (median) performance, while “always follow” yielded a higher mean skewed by a few huge hits. Selective follow-on strategies lie somewhere in between, and can resemble the best or worst of these extremes depending on execution.
The Team Ignite Strategy: Best of Both Worlds
Given Team Ignite’s focus on pre-seed/seed deals and a large portfolio (300+ investments), the evidence leans toward a no-reserves (or minimal reserves) strategy, supplemented by creative solutions to capture upside.
Here’s our approach:
1. Prioritize Maximum Shots on Goal
At the earliest stages, outcome unpredictability is highest. Even the most experienced VCs often misjudge which startup will break out.
For a fund like ours that uses AI-assisted sourcing, screening, due diligence, and aims for roughly 300 companies, the ability to cast a very wide net is a competitive advantage. It ensures we statistically increase our chances of including the next outlier success (or several of them).
The analysis above and third-party studies suggest that a broad portfolio with no follow-ons often outperforms in the absence of perfect foresight. By not earmarking 30 to 50% of the fund for later rounds, we can potentially make dozens of additional seed investments. That’s dozens more chances to find a 100x outcome.
As Kevin Dick’s simulation showed, moving from 20 investments to 100+ hugely decreases the chance of failing to hit the “market” return levels. Team Ignite can thus leverage its sourcing scale to the fullest, knowing that we won’t be capital-constrained in backing a promising new founder because of a large reserve bucket sitting idle for follow-ons.
2. Use SPVs for Follow-Ons
A common concern with no-reserve funds: “What if one of our startups is clearly taking off? Do we just let our stake dilute?”
Our answer: we don’t necessarily have to. We can pursue a hybrid approach by facilitating special purpose vehicles (SPVs) or a separate opportunity fund for our LPs to double down on breakout portfolio companies.
In practice, this means Team Ignite would offer pro-rata rights to our LPs outside the main fund when a portfolio company raises a follow-on round.
For example, if Startup X is crushing it and we have the right to invest $500K in its Series A, we could syndicate that $500K to interested LPs via an SPV. This way, LPs who want extra exposure to winners can get it, and the founders get additional capital from a trusted existing investor (us), without the core fund having to use its limited capital.
This approach has several benefits:
- It protects against dilution for those who opt in
- It lets the fund maintain goodwill with founders by helping fill rounds
- It keeps the main fund’s performance unburdened by large follow-on dollars
Many emerging managers (including us) are using SPVs in this manner, effectively outsourcing follow-on capital to co-investors, especially when their fund size or strategy doesn’t support big reserves.
It’s important to implement this fairly (offering such SPV opportunities consistently, so LPs don’t feel we only invite them into certain “cherry-picked” deals). Done right, this gives us the best of both worlds: the fund gets maximal shots on goal and a lean portfolio for higher multiple, while our LPs still have avenues to participate in later rounds of the winners.
3. Keep a Small Reserve for Rare Exceptions
While we advocate zero or near-zero reserves for the main fund, we allocate a small reserve (5% to 15% of fund) purely for highly selective follow-ons in cases where not participating might significantly impair our position.
This would not be a broad follow-on program, but a tactical option. For instance, if one of our companies is doing exceptionally well and external capital is limited, a small follow-on from the fund could ensure we maintain a minimum ownership or signal strong support.
However, we would exercise this sparingly and only when we have very high conviction that the company is a potential fund returner. Essentially, our default stance is seed-only, with an ability to make rare exceptions.
By limiting reserves to a low percentage, we still preserve the bulk of capital for new investments (maybe 270+ initial deals instead of 300, hardly denting diversification). This approach addresses LP concerns (”will you follow on at all?”) by saying yes, but only in extraordinary cases.
It also recognizes the data: follow-ons must be concentrated in the highest-multiple opportunities to add value, so a token reserve used only for clear outliers could make sense. We would avoid the scenario of spreading reserve dollars across many companies, which is exactly what causes return drag.
4. Recycle Early Wins
Another lever we have is recycling early returns to fund more new deals. If some companies have early exits or secondaries that return cash to the fund during the investment period, we can recycle that capital into additional investments (or even a follow-on or two) rather than distributing it immediately.
This effectively increases our number of shots on goal without raising the fund size. Top-performing funds often reinvest a portion of interim proceeds to capitalize on more opportunities, sometimes deploying 110%+ of the fund size through recycling.
Team Ignite can adopt this practice to further boost diversification (or to opportunistically support a winner) without a formal reserves allocation. It’s a way to remain agile. For example, if one company sells for a 5x and we get a million back, that could fund a 4 or 5 more seed bets, augmenting our exposure to potential outliers.
What We’re Trading Off
By largely forgoing reserves, we accept that our ownership in later rounds will dilute, and we might not fully capitalize on every winner within the fund itself.
The trade-off is that we greatly reduce the risk of misallocating follow-on capital and we ensure maximum coverage of early-stage deals. The research suggests that this strategy yields a higher floor (more consistent solid returns) and avoids the common pitfall where reserve capital ends up earning only 1 to 2x and pulling down the overall multiple.
Importantly, we aren’t truly “missing” pro-rata. We’re just executing it via a different vehicle (SPVs or an overflow fund) which LPs can join voluntarily.
In fact, LPs who want pure exposure to initial seed bets get exactly that in the main fund (which many prefer for a higher TVPI potential), while those hungry for follow-on exposure can opt in deal-by-deal. This setup aligns incentives: the main fund’s performance will be judged on our seed picking and portfolio construction (which is our core skill), without being inflated or diluted by follow-on betting.
At the same time, total LP returns (fund + co-invest SPVs) could match or exceed a scenario where we did follow-ons in the fund, since the opportunities are still available, just not commingled.
How This Compares to the Market
Many top seed funds have adopted similar approaches. Some well-known micro-VCs and accelerator programs invest in hundreds of startups with minimal follow-on, relying on the sheer volume of bets to find winners. Y Combinator’s initial batch investments and 500 Startups’ portfolio model are good examples.
On the other end, there are elite funds that do concentrate, but typically those are larger multi-stage firms or smaller portfolios where the GPs have a strong edge in cherry-picking follow-ons.
According to Sapphire Partners, nearly every early-stage manager does have some reserve model, but the ones that achieve 5x+ fund returns only succeed because one or two companies hit roughly 50 to 100x and they smartly piled reserves into those. Without that perfect execution, heavy reserves tend to land in the mediocre middle.
Meanwhile, AngelList’s data on seed funds and various simulations suggest that a broadly diversified seed approach consistently holds up well against more concentrated strategies in most scenarios.
As investors, we must ask: which strategy plays to our strengths and context?
Team Ignite’s network powered edge is in sourcing and evaluating a high volume of startups (augmented by AI) and securing allocations at the earliest stage. We do not (yet) claim a proprietary edge in predicting Series A winners beyond what the market will signal in time.
Therefore, doubling down within the fund on a subset of companies is a riskier proposition for us than maintaining a wide funnel. Our LPs entrust us to access the next generation of great startups at inception. By delivering a portfolio of 300 companies, we maximize the likelihood of including those greats.
The Bottom Line
For a pre-seed/seed fund aiming to make 300+ investments, the case tilts in favor of a no-reserves strategy with an aggressive “shots on goal” philosophy.
The data shows that absent near-clairvoyant ability to spot winners early, a fund is usually better off placing more bets and avoiding the return dilution that large reserves can bring. By utilizing SPVs or a sidecar for follow-ons, Team Ignite can still capture upside in breakout companies without compromising the main fund’s focus or performance.
In summary, our recommended path:
- Deploy the fund primarily in first checks
- Keep ownership per deal modest (roughly 2 to 3%) but spread across hundreds of startups
- Leverage pro-rata rights outside the fund to handle follow-ons
This approach should give our LPs well-diversified exposure to the asset class (crucial for hitting those power-law outliers), while also providing avenues to “double down” on success stories as they arise.
It aligns with our strategy of using scale and technology to our advantage, and it avoids the pitfalls that can come from heavy reserve strategies at the seed stage.
Ultimately, venture returns are made on the backs of a few big winners. Our job is to get into those winners in the first place. The best way to do that is to take as many shots as possible, then opportunistically rally additional support for the ones that hit the target.
Sources
- Primary VC Partners data on reserve strategies in top funds tremendous.blog
- Othman (AngelList) simulation analysis of follow-on strategies vcfundinstitute.com
- Sapphire Partners “dirty secret” blog on venture reserves and scenarios vcfundinstitute.com
- Rex Woodbury on fund math for small vs. large funds digitalnative.tech.
- Kevin Dick’s angel portfolio simulation (diversification needs) possibleinsight.com.
- SVB on using SPVs to maintain pro-rata for small funds svb.com