I’ve watched enough funding cycles to know when the rules start bending in the wrong direction. Right now a quiet but important shift is happening in how people evaluate brand-new crypto teams. Nearly a hundred projects have already gone dark, closed shop, or slipped into inactivity this year, and the instinct for many backers is to demand proof of recurring revenue before writing the next check. That instinct feels sensible until you remember what seed stage actually looks like. Expecting polished cash-flow statements from a team still refining its first product is like judging a seedling by the size of its fruit. It misses the point entirely.
The Real Cost of Applying Late-Stage Tests Too Early
The market is clearly pruning itself. Capital is still flowing, yet the tone has grown more cautious. Venture firms put roughly four billion dollars into three hundred fifty-five deals in the first quarter alone. That number dropped sharply from the previous quarter, and the decline hit larger later-stage rounds hardest. Seed and pre-seed activity kept moving, but the overall mood has shifted toward companies that already look mature. Later-stage businesses walked away with more than half the capital while younger teams shared the rest. Trading, exchange, and lending platforms soaked up the lion’s share. Infrastructure deals came next, followed by a mixed bag of web3, gaming, and payment projects.
What worries me is the quiet pressure this creates on the earliest founders. When capital grows selective, the easiest filter becomes “show me the recurring revenue.” It feels objective. It feels safe. Yet for a team that has only just started building, those numbers simply do not exist yet. Asking for them forces founders either to manufacture artificial traction or to abandon promising ideas that need more runway. I’ve seen both outcomes, and neither helps the ecosystem.
Why Recurring Revenue Makes Sense Later but Not at Seed
Established companies should absolutely be judged on their ability to keep users and cover costs without relying on token price spikes. That test is fair once a product has real distribution and a clear path to retention. At the seed stage the picture looks completely different. A founder is still mapping the problem, testing early versions, and figuring out whether anyone will care enough to stick around. Revenue figures at that point are often either zero or the result of temporary incentives that vanish the moment the marketing budget stops.
One venture leader put it plainly: the shakeout lessons apply mainly to companies that have already had time to find their footing. Expecting a brand-new team to display recurring revenue is simply unfair. They are too early. Applying growth-stage criteria to pre-seed or seed companies risks overlooking the qualities that actually predict success later. Those qualities live in the founder’s grasp of the problem, the clarity of the product vision, and the realistic plan for turning early users into a self-sustaining business.
At the seed stage, the real indicator of success has never been revenue. It stems from the founder’s profound understanding of the problem at hand.
That line stays with me because it cuts through the noise. Revenue is a lagging signal. Understanding is a leading one. When a founder can explain the pain point with unusual clarity and show how the product removes that pain without depending on temporary hype, the odds improve. When the same founder treats the token as the primary fundraising tool rather than a utility that supports a real commercial model, the odds drop fast. Many of the projects that disappeared this year fell into the second category.
What Investors Should Actually Examine Instead
Start with the founder’s knowledge of the problem. Not the pitch deck’s polished version, but the lived version. Does the team understand the friction users face day after day? Have they lived that friction themselves or spent enough time watching others struggle with it? Product design comes next. Does the solution feel inevitable once you see it, or does it feel bolted on? Value delivered to early users matters more than the size of the wait-list. A small group of people who keep coming back is stronger evidence than a large group that shows up once for a free token.
Then look at the path from initial product to a company that can stand on its own. How will the team gain users before the current capital runs out? What realistic steps turn early adoption into something that covers operating costs? Reviewing an existing revenue statement is easier, of course. Evaluating an unproven plan with limited data is harder and more essential. That difficulty is the nature of early-stage venture work. Pretending otherwise only encourages teams to game the metrics.
- Founder depth of problem understanding
- Clarity of product design and user value
- Realistic timeline from first users to self-sustaining model
- Independence from pure token speculation
- Evidence that the team can iterate without constant external stimulus
I’ve found that the strongest seed teams can walk through these points without sliding into jargon or hype. They talk about the specific behavior they want to change and the narrow set of users who will care first. They know the capital runway is limited and they have a plan that does not require perfect market conditions. That mindset is rarer than it should be, and it is worth protecting.
Capital Concentration and Its Quiet Pressure
Available money is clustering in fewer categories. Trading, exchange, investing, and lending businesses collected close to three-fifths of the capital deployed in the first quarter. Infrastructure followed with a solid number of deals. Web3, NFT, gaming, and payment projects shared what remained. April numbers told a similar story. Centralized finance companies raised the bulk of disclosed funding while infrastructure and DeFi split the rest. The pattern is clear: capital prefers businesses that already resemble traditional finance or that sit close to the money rails.
This concentration makes the evaluation standard even more important. When most money flows to a handful of categories, the teams outside those categories face higher hurdles. If those hurdles include premature revenue tests, promising infrastructure or application ideas can starve simply because they do not look like the current winners. Protecting the right evaluation lens at seed stage is one way to keep the broader ecosystem from narrowing too far.
Fundraising for the venture funds themselves remains difficult. Only a handful of new crypto-focused funds closed in the first quarter, the lowest number in years. Competition from artificial intelligence companies, spot exchange-traded products, and digital asset treasury vehicles continues to pull institutional allocations away. If the pace holds, total capital raised by crypto venture funds this year will sit well below last year’s total. Scarcity of fund capital usually tightens the filters applied to portfolio companies. That is exactly when the temptation to demand late-stage proof from early-stage teams grows strongest.
Geographic Reality and Its Implications
American companies received roughly seventy percent of the capital deployed in the first quarter and accounted for a large share of the deals. The United Kingdom and Singapore followed at much smaller percentages. When the bulk of institutional money sits in one country, the screening standards used by investors there shape the entire landscape. Decisions about what seed teams must prove will land hardest on founders based in the United States. Those founders need clarity about the criteria that actually matter rather than criteria that simply feel safe.
Perhaps the most interesting aspect is how little public data exists on the exact filters investors apply. Valuation information was available for only a small fraction of deals and skewed heavily toward later-stage companies. The median deal size climbed above four and a half million dollars, yet that figure is hard to interpret without knowing which stage produced it. In the absence of clearer numbers, the conversation about evaluation standards becomes even more important. Founders and investors need a shared language about what success looks like before revenue appears.
Separating Scientific Progress from Commercial Reality
Infrastructure conversations often circle around security, cryptography, and readiness for future technological shifts. Those topics matter. Yet every infrastructure company still needs an adoption plan that does not depend on a sudden technical breakthrough. Investors are learning to separate genuine scientific progress from a business model that customers will actually pay to use. The same distinction applies at the application layer. A clever token mechanism is not a substitute for a product people want to keep using after the incentives stop.
I’ve watched teams that understood this distinction survive multiple market cycles. They treated the token as a tool rather than the product. They focused on the narrow problem they could solve better than anyone else and measured progress by user behavior rather than price charts. Those teams rarely made the loudest announcements, yet they kept building when capital grew scarce. The current environment rewards that quieter approach more than many people realize.
A Practical Framework for Seed Evaluation
Here is a simple way to structure the conversation with a seed team. First, ask the founder to describe the problem in plain language without any product features attached. Listen for specificity. Vague statements about “improving user experience” or “unlocking liquidity” usually signal shallow understanding. Concrete stories about particular users and particular friction points signal depth.
Second, examine the earliest product version and the first group of users. What keeps those users coming back? What would make them leave? The answers reveal more than any projected revenue slide. Third, map the path from current runway to a model that can cover costs. The path does not need to be perfect, but it needs to be honest. Teams that acknowledge the hard steps ahead tend to navigate them better than teams that present only smooth curves.
- Probe the founder’s lived understanding of the problem
- Test the product’s ability to deliver immediate user value
- Stress-test the plan for reaching self-sustaining operations
- Confirm the token supports the model rather than replacing it
- Assess the team’s capacity to iterate under constraint
This framework does not protect weak businesses. It simply refuses to punish strong ones for being early. Applying growth-stage criteria to brand-new startups is the real risk. It filters out the very teams that need patient capital the most.
Where Capital Is Still Looking
Despite the tighter conditions, interest remains for companies that serve a clear commercial market. Infrastructure teams working on security, cryptography, and longer-term readiness continue to attract attention, provided they can articulate an adoption path. Application teams that solve identifiable problems without leaning on speculation also find backers. The difference lies in the quality of the narrative. Founders who can explain how their product becomes useful before any token price movement tend to progress further in conversations.
Truth Ventures, for example, continues to look at infrastructure founders and works with companies from the earliest idea through later growth rounds. The stated focus sits on web3 infrastructure, decentralized applications, and digital financial systems. That range covers both the deep technical work and the products that sit closer to end users. The common thread is the presence of a real problem and a credible route to a sustainable model. Other funds will draw their own boundaries, yet the underlying principle travels well: early capital should buy time for genuine discovery rather than demand proof that discovery has already finished.
The Quiet Risk of Over-Correcting
Market cycles always produce over-corrections. After a period of excess, capital grows suspicious of anything that cannot show immediate traction. That suspicion is healthy when applied to mature companies. It becomes destructive when applied indiscriminately to the earliest stage. Seed investing has always required a willingness to back incomplete pictures. The current environment tests that willingness more than usual.
I’ve noticed that the best investors keep two mental models active at once. For later-stage companies they demand evidence of retention and unit economics. For seed companies they demand evidence of insight and process. Mixing the two models produces poor decisions. A team that scores high on insight and process can still fail, of course. That is the nature of early-stage work. The alternative is to wait until every company already looks successful and then compete for the remaining scraps of ownership. Most funds cannot build meaningful returns that way.
The data on project closures should serve as a reminder rather than a reason for panic. Some of those projects deserved to fail. Others simply ran out of time before they could prove the model. Sorting one group from the other requires the kind of judgment that revenue numbers alone cannot provide at the earliest stages. Investors who remember that distinction will keep finding the teams worth backing even while the broader market remains selective.
Building Toward Models That Last
The most useful conversations right now focus on sustainability across both web3 and adjacent technology areas. Founders who can describe how their product survives without continuous external stimulus stand out. That description does not require perfect clarity on every future step. It does require honesty about the steps that remain uncertain and a plan for reducing that uncertainty with the capital at hand.
In practice this means fewer decks that open with market-size numbers and more that open with user stories. It means fewer claims about inevitable network effects and more discussion of the specific behaviors that will create those effects. It means treating the token as an instrument that can accelerate a working model rather than a shortcut that replaces the need for one. These shifts sound simple. They are surprisingly hard to execute when capital is scarce and the pressure to look mature is high.
Yet the teams that make the shift tend to build more durable businesses. They attract the kind of capital that stays patient through the next quiet period. They also attract the kind of talent that prefers solving hard problems over chasing temporary incentives. Over time those advantages compound. The current shakeout will pass. The evaluation habits formed during it will shape which companies still stand when the next wave of capital arrives.
Practical Takeaways for Founders and Backers
For founders the message is straightforward. Stop trying to manufacture recurring revenue numbers that do not yet exist. Spend the energy instead on deepening the problem understanding and clarifying the path to a self-sustaining model. Speak plainly about the uncertainties. Investors who matter will respect the honesty more than a polished but hollow projection.
For investors the message is equally clear. Keep the right filters for the right stage. Demand recurring revenue and retention evidence from companies that have had time to build them. For seed teams, demand depth of insight, product clarity, and a realistic plan. That distinction protects both the portfolio and the broader set of founders who still need room to explore.
The market has already removed a large number of projects that never developed a workable commercial core. The next test is whether capital will continue to support the teams that are still in the process of building one. Applying the wrong metrics at the wrong stage makes that support harder than it needs to be. Getting the metrics right keeps the door open for the ideas that can eventually stand on their own.
In the end the strongest early-stage bets have always rested on people who see a problem more clearly than most and who possess the discipline to turn that clarity into a product others will pay to use. Revenue follows that combination. Demanding the revenue first simply reverses the natural order of discovery. The current environment makes that reversal tempting. Resisting the temptation may be one of the more important decisions investors make this year.
I’ve sat through enough pitch meetings to recognize the difference between a team that is genuinely early and a team that is simply unready. The first group needs time and thoughtful capital. The second group needs honest feedback and a different path. Confusing the two helps no one. The data on closures and capital flows gives us a clear picture of the pressure. The real work now lies in responding to that pressure with judgment rather than reflexive filters. Seed startups deserve the chance to prove their insight before they are asked to prove their revenue. Protecting that sequence is how the next generation of durable crypto companies will still get built.
