How Do Projects Detect and Prevent Airdrop Sybil Attacks?

[nihalsari]

Airdrop Sybil detection has gone pro-level — teams now leverage machine learning, wallet graph analysis, and identity protocols (e.g., Proof of Humanity, Gitcoin Passport). Some even cross-reference ENS activity, DeFi depth, and NFT holdings to build a trust score before allocating tokens.

[EmTeam]

Sybil resistance is becoming a must-have for fair airdrops — proof-of-human and activity-based scoring is the way forward. 🧩️

[Rimon Khan]

Smart filtering + behavioral analytics = the best defense against Sybil farming. Clean data, fair distribution. 🧠️

[alex10]

@nihalsari yes

[JanEmil]

Just stop airdrops. Easy Peasy.

[Swipe]

Fair airdrops need real users Sybil-proofing protects the community and project alike

[The_Walking_Dead]

Real users > Sybils. Better filters = better airdrops. 🧠

[Pitchfork_IS_power]

Airdrops are evolving bots had their era, now it’s time for real contributors.

[Capybara_Capybara]

Sybil resistance isn’t optional anymore it’s the only way to keep airdrops fair.

[Nahid Hossen]

@Capybara_Capybara hum