Dragonfly managing partner Haseeb Qureshi proposed a reputation system to reward users on token distributions through airdrops.

On a Sept. 15 post via X, he shared a reform plan to filter airdrop farmers who dump tokens immediately after launches.

Qureshi responded to Aztec CMO Claire Kart’s critique that airdrops “tank your chart” and provide “lazy alignment” by drawing parallels to IPO allocation methods.

Companies offer institutional investors like BlackRock preferential pricing because these firms demonstrate long-term holding patterns, while retail investors pay market prices due to unpredictable behavior.

Qureshi stated:

“It’s crazy that token distributions don’t work this way.”

He advocated for meta-incentives based on users’ historical token behavior rather than platform-specific metrics.

Holder score framework

The Dragonfly partner proposed standardized holder scores tracking token retention curves, governance participation, fee spending, liquidity provision, and product usage across multiple protocols.

Projects would publish these scores in JSON format, enabling other teams to incorporate reputation data into distribution decisions.

Qureshi argued that this creates accountability across the ecosystem. Users who know about future airdrops consider their holding history when modifying their behavior toward long-term commitment rather than immediate selling.

Credit bureaus operate similarly, with financial institutions sharing customer data to encourage responsible behavior.

The framework recommended limiting free airdrops to under 15% of total token generation events while selling the majority through score-tiered crowdsales.

Better holder scores receive larger allocations at lower prices, while mercenary farmers pay full price or receive no access.

Crowdsale advantages

Qureshi stated that the proposal addresses fundamental airdrop problems by requirin

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Author: Gino Matos