The New Rules of Crypto Fundraising | Roundup

Crypto venture fundraising standards have shifted dramatically since 2021 and 2022, when a solo founder with a strong white paper or strong pedigree could secure pre-seed funding with no product or traction. The current pre-seed bar now roughly matches what seed used to require, demanding at least two co-founders, a prototype, customer discovery research, and genuine market insights. Seed stage increasingly requires post-launch traction with demonstrated volume and retention. A large graveyard of pre-seed startups exists that cannot make it to seed stage, with venture funds raising less capital overall and those that do raise tending to invest at later stages.

Infrastructure projects face particular difficulty because many prior infra bets failed to achieve distribution and some target markets turned out not to exist at all. Four or five years ago VCs would invest in crypto infrastructure pitches based on vision alone, but now most infra pitches are expected to fail without a clear wedge, go-to-market strategy, and long-term defensibility. The risk-pricing model in crypto has historically been inverted relative to traditional investing, with earlier stages being safer because low entry prices could be flipped via token launches. A group of investors were effectively closet token flippers masquerading as VCs, but because token performance has deteriorated that model is no longer working, making the current environment an investor's market where less capital and fewer deal-seekers give investors more leverage to demand de-risked projects at low valuations.

Current hot fundraising areas include stablecoins, real-world assets, and anything AI-related, with capital moving up the stack toward Series B and C stage companies. A recurring pattern in crypto is overfunding of hot categories, proliferation of bets, and inflated multiples followed by consolidation, as seen previously in CeFi and on-chain infrastructure. AI is creating additional uncertainty for early-stage investors because software that was impressive 12 to 24 months ago can now be replicated faster with AI tools, making it very hard to identify defensible businesses. There is a trend of solo founders aged 18 to 20 running businesses almost entirely with AI agents and seeking raises around two million dollars. Optimal raise sizes for lean teams are approximately one to 1.5 million dollars at pre-seed and two to three million dollars at seed, both targeting 18 to 24 months of runway.

The most common fundraising mistake is ego-driven benchmarking to the highest valuation in a category rather than modeling actual capital needs. Every fundraise should be framed as de-risking business failure rather than as giving away equity percentage. Raising too much money causes founders to spend it and removes the necessity that drives invention. Raising at a high valuation with a large liquidity preference locks founders into needing a home run outcome, and aqua hire exits leave founders with little or nothing when they have raised too much due to equity premiums going to investors first. Founders also raise more than needed partly because raising too little signals to investors that competitors could replicate the business cheaply.

Founders must thread the needle between a narrow undeniable near-term pain point and a credible path to a large long-term outcome. The third horizon of a pitch should be vague and use comically large market numbers rather than specific revenue projections. The underlying emotion being sold in any fundraise is FOMO, and fundraising should be run like an auction designed to create that feeling. Conducting 35 to 40 customer research interviews before fundraising helps validate market assumptions, and user surveys and evidence of willingness to pay are underused in pre-seed and seed pitches. Data rooms should now contain as much data as possible because AI tools allow VCs to extract better insights from large datasets through prompting.

Founders should start with targeted lead investors rather than a shotgun approach, lock in previous investors first, and do practice pitches with mid-tier targets before approaching top-tier funds, ideally arriving with a term sheet already in hand. A common mistake is pitching top-tier funds like Pantera before establishing any social proof. Founders should begin talking publicly about what they are building three to six months before launch on a thought leadership basis rather than directly promoting their product. Strategic investors who can also be customers provide value beyond capital, and having a design partner creates FOMO for top-tier funds.

Founders should identify and target the actual decision maker rather than just the analyst, because analysts are incentivized by deal volume and may not have meaningful carry exposure. Analysts who feel snubbed may refuse to refer a founder to a partner, so they should not be dismissed. A common red flag is when a founder's actual customer is a partner team that controls distribution and can easily swap out the product for a competitor. When receiving feedback, the part where someone says something is not working is usually correct, but their proposed fix is usually wrong, and knowing when to take feedback versus ignore it requires emotional self-awareness.