What is airdrop farming, and how does it differ from the points program covered in an earlier article?
The points program covered in an earlier article is a formal mechanism a protocol actively designs — the protocol publicly announces a set of rules, explicitly telling a user which behaviors accumulate how many points, with a user able to see their current points ranking through a real-time lookup interface. Airdrop farming has no such explicit rules — a user purely speculates, based on experience and convention from other protocols' past airdrops (such as 'a cross-chain bridge protocol usually issues a token' or 'an early user usually gets priority allocation'), that a protocol not yet formally announcing any token plan might issue an airdrop in the future, starting to repeatedly use this protocol's functions ahead of time, accumulating their own usage record.
The key difference from a points program lies in 'how explicit the rules are': a points program has the protocol actively telling you 'doing this earns points'; airdrop farming has a user actively speculating 'doing this might get me an airdrop in the future' — the protocol itself might never have formally promised to issue any token whatsoever from start to finish, with the user's behavior purely speculative anticipation based on past industry convention. Airdrop farming, to some extent, is an earlier, more rule-guidance-lacking phenomenon that predates the points program mechanism — a points program could be understood as the product of a protocol formalizing and making transparent what was originally a user's spontaneous airdrop-farming behavior.
Why does airdrop farming exist, and what kind of market behavior does this phenomenon reflect?
Airdrop farming exists because the crypto industry genuinely has multiple well-known successful cases — some protocols, when formally issuing a token, chose to retroactively distribute the token to genuine early users based on their actual past usage record, and some early users consequently received a token allocation quite substantial relative to their actual invested cost. These successful cases, to some extent, established a 'rule of thumb' circulating within the industry — infrastructure-type applications like cross-chain bridges, decentralized exchanges, and lending protocols, especially a new protocol not yet having issued a token but already gaining market attention, is often seen as a potential airdrop candidate.
This rule of thumb attracts a large number of users to still be willing to commit time and effort, repeatedly using these protocols' functions, purely 'just in case an airdrop genuinely happens in the future,' even when a protocol has entirely never formally promised any token plan whatsoever. This phenomenon, to some extent, reflects market participants' pattern recognition and behavior replication from past successful cases — no need for the protocol to actively design an incentive, purely relying on the expectation psychology past industry convention forms is already enough to drive a large number of users to spontaneously commit resources. This is also, to some extent, the background context behind why the points program covered in an earlier article evolved into a more formalized mechanism — the protocol side, observing that users already have this spontaneous willingness to participate, simply spelled out the rules clearly, which instead more effectively guides user behavior.
How does airdrop farming actually work, and how does the protocol side guard against improper manipulation within this kind of behavior?
A typical airdrop farming behavior, on the user side, usually involves several steps:
But this pattern has also spawned an obvious abuse problem — some participants don't purely use a single genuine wallet address to accumulate a usage record, but simultaneously operate a large number of wallet addresses, attempting to obtain a far-exceeding-reasonable-proportion allocation quota through 'creating many seemingly independent addresses that are actually all controlled by the same person' — this kind of behavior, a related concept covered in an earlier article, is usually called a 'Sybil attack.' To guard against this kind of problem, a protocol side usually introduces a concrete detection mechanism, analyzing multiple signals including funding source pattern (whether multiple addresses all received initial funding transferred from the same account), temporal correlation (whether multiple addresses execute the exact same operation sequence within an extremely short time), and contract interaction fingerprint (whether multiple addresses' operating pattern is highly identical), comprehensively judging which address groups actually belong to coordinated behavior controlled by the same person, and excluding qualifications judged as Sybil addresses from the final token allocation.
What's the practical impact of airdrop farming on everyday users, and how should you assess whether to participate in this kind of behavior, plus what to watch for when participating?
For an everyday user, understanding this airdrop farming phenomenon's existence helps you understand why some people commit seemingly disproportionate time and effort to repeatedly operate on a protocol that's entirely never formally promised to issue any token — behind this is a speculative anticipation behavior based on a past rule of thumb, not a guarantee this protocol will definitely issue a token. The core question worth asking when assessing a points program covered in an earlier article (if I ultimately get nothing at all, is what I'm doing today still worth doing) equally applies to assessing whether to participate in airdrop farming — and since airdrop farming's rules are even less explicit, with uncertainty usually higher than a formal points program, this question needs even more serious consideration.
If you're considering participating in airdrop farming, a few concrete aspects worth noting: don't use multiple wallet addresses conducting obviously coordinated operations purely to accumulate usage records — as covered in an earlier article, this kind of behavior easily gets judged as a Sybil attack, not only unable to obtain any allocation, but possibly even dragging a reasonable record you originally accumulated with a single genuine wallet into a suspicious list too; prioritize a protocol you already had genuine usage need for and valued the product of, rather than reluctantly using a product you have entirely no interest in purely because 'you heard there might be an airdrop' — this way, even if you ultimately get no airdrop at all, your time and effort weren't entirely wasted; and understand airdrop farming is essentially a speculative behavior with entirely no formal promise whatsoever — the protocol side could at any time choose not to issue any token at all, or adopt an allocation standard you entirely didn't anticipate, and shouldn't be treated as an investment plan certain to bring return.
LayerZero is one of the most representative cases within the airdrop farming phenomenon — this infrastructure protocol offering cross-chain messaging service (covered in an earlier article, also the underlying cross-chain messaging protocol exploited in the 2026 Kelp DAO attack incident) attracted a large volume of users engaging in airdrop farming behavior before formally issuing the ZRO token. According to the protocol's publicly released data in 2024, before formally distributing the token, LayerZero screened out and excluded over 800,000 wallets judged as Sybil addresses, and offered a concrete self-reporting mechanism — allowing a user suspected of operating multiple wallets to proactively admit before a designated deadline, in exchange for a partial allocation of 15% of their originally entitled quota. An address that didn't proactively admit and got subsequently detected by the system instead faced the consequence of being entirely unable to obtain any allocation whatsoever. This case, to some extent, also reflects the industry's judgment standard for 'which behaviors constitute improper coordinated farming behavior' continuously evolving and tightening.
As a market behavior phenomenon term, there's no positive trade-off to speak of — the only discussable trade-off lies in the user's own resource commitment decision. Choosing to participate in airdrop farming, to some extent, trades time and effort for an entirely uncertain future return — if you originally had genuine usage need, this commitment isn't entirely wasted even if no airdrop ultimately materializes; if purely speculating on an airdrop using a product you originally had no interest in, once the protocol chooses not to issue any token, this time and effort commitment becomes a pure opportunity cost loss — a trade-off every user considering participating needs to weigh based on their own actual situation.