ZK
ZKsync
ZK

ZKsync price

in SGD
S$0.063966
-S$0.00046483 (-0.73%)
SGD
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Market cap
S$461.84M #100
Circulating supply
7.23B / 21B
All-time high
S$0.35237
24h volume
S$19.98M
4.4 / 5
ZKZK
SGDSGD

About ZKsync

ZKsync (ticker symbol: ZK) is a cryptocurrency designed to support the ZKsync ecosystem, which focuses on scaling Ethereum through zero-knowledge rollups. These rollups allow faster, cheaper, and secure transactions by bundling multiple operations and verifying them with cryptographic proofs. ZKsync aims to enhance blockchain scalability while maintaining privacy and decentralization. The ZK token plays a critical role in the ecosystem, functioning as collateral for provers, enabling governance, and incentivizing participants to secure and operate the network. With applications spanning DeFi, real-world asset tokenization, and enterprise use cases, ZKsync is paving the way for a scalable and privacy-focused blockchain future.
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ZKsync’s price performance

Past year
-64.31%
S$0.18
3 months
+4.89%
S$0.06
30 days
-16.94%
S$0.08
7 days
-1.81%
S$0.07
ZKsync’s biggest 24-hour price drop was on Jun 18, 2024, (UTC+8), when it fell by S$0.23642 (-78.58%). In Jun 2024, ZKsync experienced its biggest drop over a month, falling by S$0.2461 (-79.25%). ZKsync’s biggest drop over a year was by S$0.28794 (-81.71%) in 2024.
ZKsync’s all-time low was S$0.047232 (+35.42%) on Jun 23, 2025, (UTC+8). Its all-time high was S$0.35237 (-81.85%) on Dec 7, 2024, (UTC+8). ZKsync’s circulating supply is 7,231,769,682 ZK, which represents 34.43% of its maximum circulating supply of 21,000,000,000 ZK.
54%
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ZKsync on socials

Rejamong.eth
Rejamong.eth
AI requires ZK : ZK proofs for trust assurance of on-device execution LLMs The ZK Coprocessor project @lagrangedev made an announcement about providing ZK proofs for Google's Gemma3 at the "Verifying Intelligence" event hosted by Google Cloud and HouseofZK. Gemma 3 is a lightweight, high-performance "on-device" LLM developed by Google. Unlike large AI models like GPT that run on a central server and return results, Gemma3 runs and infers on the user's device as a lightweight model. On-device LLMs enable the use of AI without a network connection, ensuring privacy since data does not need to be sent to a central server. Additionally, since the majority of the costs associated with AI usage like GPT come from the computational expenses of the central server, this can significantly reduce those costs. However, having the model run locally also means that one cannot expect trust from a central server. There is a possibility that the local execution environment could be tampered with, and the inference results must be fully trusted 'by themselves.' In such cases, ZK coprocessors like Lagrange's DeepProve are used. DeepProve generates the output of Gemma3 executed locally in the form of ZK proofs. Through these ZK proofs, users of Gemma3 can automatically verify that - the model received the correct input, - Gemma3 computed correctly as designed, - without exposing sensitive information. In fact, the combination of this type of lightweight local execution LLM and ZK coprocessors aligns very well with blockchain + AI. It enables reliable distributed AI by providing inference results through lightweight high-performance LLMs like Gemma3 on decentralized blockchain nodes and submitting them as ZK proofs. Ultimately, in the era of on-device execution of AI, an infrastructure for ZK proofs that can guarantee trust is essential. AI-specific ZK coprocessors like Lagrange's DeepProve will play a crucial role in this.
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Lily🌙
Lily🌙
🌙This is really Alolaha~ I threw it away while doing Alola in June, but I'm picking it up again. The reason I chose Alola is that I like the AI sector + Alola Ninetales! I'm feeling good that it shines like this again🩷 My favorite Pokémon is Alola Ninetales! That's why I carry it around in my bag! 🌙Summary of Alola These days, projects that combine AI and blockchain are gaining a lot of attention, and Alola is a decentralized AI network built on Cosmos. In Alola, developers submit AI models they created directly to the network. It would be easy to understand that these models compete based on how they predict and operate in real environments. The network evaluates the accuracy and contribution of each model in real-time, ranks them, and rewards the models that perform well. In other words, a structure is created where rewards are distributed based on how well they actually performed, beyond simple participation. Just like Alola Ninetales gains experience by continuously participating in Pokémon Leagues, learning new skills and leveling up, developers can also expect performance improvements through the process of continuously improving their models and resubmitting and competing. Ultimately, the entire network will become more accurate, and meaningful data will accumulate. 🌙Alola zk proof Alola is designed to ensure that sensitive technical information, like code, is not exposed while evaluating AI. In other words, it utilizes the principle of proving performance while protecting information through zero-knowledge proofs. Additionally, Alola focuses on Zero Knowledge Machine Learning (zkML) technology. This ensures that while the predictions made by AI models are verified, sensitive information such as the internal structure and data of the models is not exposed. Recently, there have been movements to further strengthen zkML technology through partnerships like Polyhedra. In fact, these days, many projects are showing zk + AI, and I hope Alola survives among the numerous projects🙏🏻 Let's train hard until we master the Ice Beam technique of Alola Ninetales!! @AlloraNetwork
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Lily🌙
Lily🌙
I bought🌙 a Nintendo Switch 2 to try Pokemon I bought it for another 100,000 won at Carrot My favorite Pokémon is Sixtail, which lives in the Alola region. The main character's name is Lily Does Lily live in Alola? This is so alora~ Lily trains Alola Sixtail Just like sending them to the Pokémon League and battling with other Pokémon to check their skills. At Allora, developers submit their own AI models to the network and use them as a basis for how they predict and behave in the real world. You will be ranked as you battle. The network evaluates the accuracy and contribution of each model in real time to determine the ranking. It is a structure that distributes rewards according to their performance! Just like Alola Sixtail continues to play in the Pokémon League by improving her skills. AI models will continue to be improved and repeatedly submitted, and performance will naturally improve! @AlloraNetwork @DeGeneralissimo
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vassilis (∎, ∆)
vassilis (∎, ∆)
Highly recommend following @TheZKNation and all the news about current and upcoming @zksync proposals. Each and every proposal serves like a Lego block to a full blown structure of ZK chains, interoperability and the most performant ZK tech in the world. 🧩🌎⛓️
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ZKsync FAQ

Currently, one ZKsync is worth S$0.063966. For answers and insight into ZKsync's price action, you're in the right place. Explore the latest ZKsync charts and trade responsibly with OKX.
Cryptocurrencies, such as ZKsync, are digital assets that operate on a public ledger called blockchains. Learn more about coins and tokens offered on OKX and their different attributes, which includes live prices and real-time charts.
Thanks to the 2008 financial crisis, interest in decentralized finance boomed. Bitcoin offered a novel solution by being a secure digital asset on a decentralized network. Since then, many other tokens such as ZKsync have been created as well.
Check out our ZKsync price prediction page to forecast future prices and determine your price targets.

Dive deeper into ZKsync

ZKsync is a Layer-2 zero-knowledge (ZK) rollup designed to scale the Ethereum network and reduce the cost of transacting on the blockchain. ZK rollup, which underpins the platform, is a trustless protocol that allows validators to confirm a transaction's authenticity without revealing any information about the transaction. As a result, the protocol preserves user privacy and security on the network while supporting faster and cheaper transaction processing.

Built by Matter Labs, ZKsync is the first zkEVM (Ethereum Virtual Machine) chain. It's designed to "look and feel like Ethereum," according to the project team, to help simplify adoption. Meanwhile, just like Ethereum, smart contracts are written using the Solidity and Vyper smart contract languages, and can be called via the same clients as other EVM-compatible chains.

How does ZKsync work?

ZKsync adopts ZK technology, a cryptographic method used to confirm the proof of a statement while obscuring any information about the statement itself. Think of the technology like an identity card that confirms you're an adult without revealing your actual age, name, or any other personal details.

ZK rollups help to improve the scalability of the Ethereum blockchain by performing computation and state offchain. The solution bundles transactions together at Layer-2 before they're posted on Layer-1. This method allows users to benefit from all the security advantages of Ethereum's base network but with higher throughput and lower fees.

ZKsync is compatible with EVM, and almost every smart contract written for EVM will be supported by the platform. That means most projects can be migrated over to the network with little to no modification.

Why is ZKsync significant?

ZKsync helps to address one of the most pressing limitations of the Ethereum network — scalability. Ethereum's relatively limited transaction throughput can lead to network congestion during periods of high demand, an issue that's only compounded as more users adopt the network. Meanwhile, congestion can lead to high gas fees, making transactions and interactions with decentralized applications costly. High latency is another challenge impacting the network's performance, as transactions are typically confirmed in a relatively slow 13 to 15 seconds.

ZKsync's use of ZK technology helps to ease these limitations while providing a platform that retains Ethereum's robust security and familiar usability. In theory, this should incentivize more developers to adopt Ethereum, strengthening the network's appeal at a time when competing solutions continue to launch.

ZK price and tokenomics

The ZK token has a total circulating supply of 21 billion. In June 2024, an airdrop was completed to distribute 17.5% of the token's supply to the project's community. Of the approximately 3.6 billion tokens reportedly airdropped to 695,232 wallets, 89% went to those who'd transacted on ZKsync — although the exact criteria wasn't announced — with 11% going to ecosystem contributors. This included ZKsync native projects, onchain communities, and builders. Meanwhile, 49.1% of the ZK supply will reportedly be distributed through "ecosystem initiatives", while 17.2% will go to investors and 16.1% will be allocated to Matter Labs members.

Due to a lack of liquidity, no ZK price was available as of the June 2024 ZK token airdrop. However, based on existing pre-launch futures available on Aevo, ZK perpetuals look to be trading at about $0.22.

About the ZKsync founders

ZKsync was developed by Berlin-based blockchain developer Matter Labs. The company was founded in 2018 by Alex Gluchowski and Alex Vlasov, and first deployed ZKsync to a closed testnet in December 2021. The platform was made publicly available on the mainnet on March 24, 2023.

The Matter Labs team, comprised of engineers, researchers, and technical experts, has made clear its focus on redrawing the limits of blockchain scalability through zk technology and open source developments. The organization is working towards the mainstream arrival of public blockchains, and is backed by numerous major players in the space, including the Ethereum Foundation.

Disclaimer

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Market cap
S$461.84M #100
Circulating supply
7.23B / 21B
All-time high
S$0.35237
24h volume
S$19.98M
4.4 / 5
ZKZK
SGDSGD
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