@ancestressklj

Some ecosystems that use a leaderboard system for airdrop allocation aim to reward the most active participants fairly. This encourages users to engage deeply with the project and stay active over time. However, it can lead to unhealthy competition, where participants focus only on farming points rather than contributing value. It also opens opportunities for bots or organized groups to exploit the system, reducing fairness. To improve this, projects can include hidden tasks, random rewards, or quality-based evaluations. A hybrid approach combining leaderboard rankings with randomized elements can balance merit-based rewards with inclusivity. Transparency in scoring rules and anti-sybil mechanisms is critical to maintaining trust and ensuring that both small and large users feel equally valued in the ecosystem.

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