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Security & Due Diligence

Chain by Chain: Mapping the Blockchain Networks Where Launchpad Projects Go to Die

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Chain by Chain: Mapping the Blockchain Networks Where Launchpad Projects Go to Die

Photo: blockchain network map digital graveyard cryptocurrency fraud investigation, via d24cdstip7q8pz.cloudfront.net

If you've spent any real time in the launchpad space, you've probably noticed something uncomfortable: some chains just seem to produce more disasters than others. Not every rug pull, ghost project, or slow-motion exit scam is distributed evenly across the blockchain universe. There are patterns here — geographic, structural, and behavioral — and once you start seeing them, it's hard to unsee them.

At RocketPad, we dug into the available data on failed launchpad projects across major networks to figure out which chains are quietly becoming exit scam capitals, and more importantly, why.

The Numbers Don't Lie (But They Do Require Context)

Let's get one thing out of the way: raw failure counts are misleading. Ethereum has hosted thousands of token launches, so of course it has a high absolute number of failures. What matters is the rate — how many projects launched on a given chain fail outright, disappear without delivering, or show strong signals of deliberate fraud.

When you normalize for launch volume, a more troubling picture emerges. Solana and certain Polygon-based launchpads have seen disproportionately high rates of projects that raise funds and go dark within 90 days. Arbitrum, while younger and generally associated with more technically sophisticated teams, has its own growing cluster of projects that launched with fanfare and quietly stopped communicating after the initial token distribution.

Binance Smart Chain (BSC), now rebranded as BNB Chain, has the most documented history here. Independent researchers at outlets like Chainalysis and Elliptic have repeatedly flagged BSC as a historically permissive environment for rug pulls. Low gas fees and easy token deployment made it genuinely accessible — to legitimate developers and bad actors alike.

Why Certain Chains Attract More Bad Actors

This isn't random. Infrastructure design choices have real consequences for who shows up.

Low deployment costs lower the barrier to entry for everyone. On chains where spinning up a token costs a few dollars rather than hundreds, the economics of a small-scale exit scam become viable. A bad actor doesn't need to raise millions to turn a profit. They can launch twenty projects across twenty wallets, rug three of them, and net meaningful returns with minimal upfront investment. BSC and Solana's historically low transaction costs made this math work uncomfortably well.

Pseudonymous team culture varies by chain. Ethereum's OG community developed certain informal norms around doxxing, audits, and community accountability — not perfect, but present. Some newer chains attracted developer communities where anonymous teams were not just accepted but celebrated as a feature. Anonymity isn't inherently bad, but when it's paired with a low-accountability ecosystem and minimal audit culture, it becomes a risk multiplier.

Launchpad infrastructure quality is uneven. The quality of the launchpad platforms themselves varies dramatically by chain. Some platforms do meaningful vetting; others are essentially just token deployment pipelines with a nice frontend. When a chain's dominant launchpads aren't filtering hard, the signal-to-noise ratio for investors collapses fast.

The Regional Angle Nobody Talks About Enough

Here's something that rarely makes it into mainstream crypto coverage: exit scam geography has real-world dimensions. Analysis of on-chain activity combined with public team disclosures suggests that certain networks have become preferred launching grounds for teams operating out of jurisdictions with minimal crypto enforcement — parts of Southeast Asia, Eastern Europe, and West Africa show up repeatedly in post-mortem investigations of failed launchpad projects.

This matters for US investors specifically because American regulatory reach is limited when the team behind a failed project is operating from a country with no bilateral enforcement agreements and no interest in pursuing crypto fraud cases. The practical implication is blunt: when you're investing in a launchpad project on a chain with a high concentration of teams from low-enforcement jurisdictions, your legal recourse if things go sideways is close to zero.

Which Chains Are Actually Holding Up?

Fairness demands we note the other side of this. Some networks have developed genuinely better track records.

Ethereum mainnet, despite its costs, filters out casual bad actors by making deployment expensive. The ecosystem's mature audit culture — firms like Trail of Bits, OpenZeppelin, and Certik have deep Ethereum roots — means that serious projects are expected to show their security homework. This doesn't eliminate fraud, but it raises the floor.

Avalanche has developed a reputation for slightly more rigorous launchpad vetting, partly because its community skewed toward institutional and semi-institutional participants early on. The failure rate exists, but the deliberate fraud rate appears lower relative to launch volume.

Base, Coinbase's L2, is still young enough that a definitive verdict isn't possible. But its connection to a regulated US entity creates at least some structural incentive to discourage the worst actors.

What This Means for Your Due Diligence

None of this means you should swear off Solana or never touch a Polygon-based launchpad again. The point isn't to blacklist chains — it's to calibrate your diligence intensity based on the environment you're operating in.

If you're evaluating a project on a chain with a historically high fraud rate, your due diligence bar should be higher, not lower. That means:

Chain reputation is a starting signal, not a final verdict. But ignoring it entirely is leaving real information on the table.

The Bottom Line

Blockchain networks are not neutral pipes. Their fee structures, community cultures, launchpad ecosystems, and the informal norms they've developed all shape who shows up and how they behave. Some chains have, through a combination of design choices and community dynamics, made themselves more hospitable to bad actors than others.

As a launchpad investor, knowing which networks have the worst track records — and understanding why — is one of the more underrated edges you can develop. It won't make you bulletproof. But it'll keep you from wandering into the highest-risk zip codes without at least knowing what neighborhood you're in.

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