李财之道 蓝鸟会
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The Value Logic of $LA : Rejecting the 'Inflation Game', Earnings Stem from Real Demand
In the crypto market, the guise of 'high annual returns' is common—project teams rely on infinite token issuance to maintain rewards, ultimately diluting the token's value, leaving retail investors to bear the losses. In contrast, Lagrange #Lagrange takes a different approach: the earnings of $LA come entirely from genuine network demand rather than artificially created inflation.
Its underlying logic is clear and solid: Lagrange's ZK proof network possesses true 'utility'. When developers use its SQL co-processor to query on-chain data, the generated fees are either used to burn LA (reducing circulation) or distributed to stakers; when AI projects use DeepProve for privacy inference, the fees paid are used to buy back LA, directly benefiting holders; even the verification services (AVS) provided by nodes generate rewards from real business income rather than newly minted tokens.
More importantly, the annual inflation rate of $LA is strictly controlled at 4%—this means the main source of rewards must rely on network activity. For example, when a DeFi project uses Lagrange for cross-chain asset verification, the transaction fees from each trade flow to LA stakers; when a company processes sensitive data via zkML, the fees paid reinforce the value foundation of $LA. This model of 'the more prosperous the business, the more stable the earnings' is far more sustainable than 'printing money to distribute benefits'.
Holding #lagrange essentially represents holding the 'earnings distribution rights' of the Lagrange ZK ecosystem. As the entire Web3 seeks solutions for privacy protection and verifiability, the network built by @Lagrange Official is becoming a rigid demand. #lagrange proves that quality tokens should not rely on speculation but should stem from 'value that is needed'.
@Lagrange Official #lagrange
In the crypto market, the guise of 'high annual returns' is common—project teams rely on infinite token issuance to maintain rewards, ultimately diluting the token's value, leaving retail investors to bear the losses. In contrast, Lagrange #Lagrange takes a different approach: the earnings of $LA come entirely from genuine network demand rather than artificially created inflation.
Its underlying logic is clear and solid: Lagrange's ZK proof network possesses true 'utility'. When developers use its SQL co-processor to query on-chain data, the generated fees are either used to burn LA (reducing circulation) or distributed to stakers; when AI projects use DeepProve for privacy inference, the fees paid are used to buy back LA, directly benefiting holders; even the verification services (AVS) provided by nodes generate rewards from real business income rather than newly minted tokens.
More importantly, the annual inflation rate of $LA is strictly controlled at 4%—this means the main source of rewards must rely on network activity. For example, when a DeFi project uses Lagrange for cross-chain asset verification, the transaction fees from each trade flow to LA stakers; when a company processes sensitive data via zkML, the fees paid reinforce the value foundation of $LA. This model of 'the more prosperous the business, the more stable the earnings' is far more sustainable than 'printing money to distribute benefits'.
Holding #lagrange essentially represents holding the 'earnings distribution rights' of the Lagrange ZK ecosystem. As the entire Web3 seeks solutions for privacy protection and verifiability, the network built by @Lagrange Official is becoming a rigid demand. #lagrange proves that quality tokens should not rely on speculation but should stem from 'value that is needed'.
@Lagrange Official #lagrange
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