Compare Catizen (CATI) vs Lagrange (LA) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Catizen vs Lagrange — how do they compare? Catizen trades at Rp691.56 (market cap Rp464,39M, Rp67,16M 24h volume), while Lagrange trades at Rp1,042 (market cap Rp201,54M, Rp151,53M 24h volume). The key difference: Catizen is far larger — about 2.3× Lagrange's market cap, and Catizen's supply is capped (670,1M / 1B CATI (68%)) while Lagrange's keeps growing. Which is the better fit depends on your goals — on Pluang, investors hold Catizen for 27 Days and Lagrange for 7 Days on average.
| CATI | LA | |
|---|---|---|
Market Cap | Rp464,39M | Rp201,54M |
Volume (24h) | Rp67,16M | Rp151,53M |
Circulating Supply | 670,1M / 1B CATI (68%) | 193M LA |
Typical Hold Time | 27 Days | 7 Days |
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
About Catizen
Catizen is an innovative gaming bot on Telegram that seamlessly integrates the Telegram x TON blockchain. It aims to transform Web3 access by enabling practical mobile payments. By leveraging Telegram's large user base, Catizen aims to become a central hub for Web3 traffic, attracting hundreds of billions of users. Catizen will function as a mini-app center, combining the unique features of Launchpool with short videos and e-commerce. It will attract and engage users through gamification and strategic Play-to-Airdrop initiatives, revolutionizing the way users access and engage with the Web3 ecosystem.
Read more on CATI →About Lagrange
Lagrange specializes in zero-knowledge proof generation for safe and private AI. Its flagship product, DeepProve, is the fastest zkML system, enabling AI verification through zero-knowledge proofs. Lagrange also offers a decentralized ZK Prover Network for secure, cost-effective proof generation, backed by major validators like Coinbase Cloud and Kraken. Additionally, the SQL-based ZK Coprocessor allows smart contracts to offload complex computations and verify them on-chain.
Read more on LA →
