In the field of privacy computing, I recently saw a project that has made significant optimizations on the zk-SNARKs algorithm. The core improvements focus on two directions: first, enhancing efficiency, and second, reducing costs.
How exactly is this achieved? By simplifying circuit design, proof generation time can be shortened by 35%, and verification time by 28%. This level of improvement is quite noticeable. More interestingly, the new version supports batch transaction proof generation—100 privacy transactions can be combined into a single proof for processing, directly reducing Gas fees and effectively optimizing user costs.
Currently, the algorithm is running on the testnet, and it is expected to be fully deployed by the mainnet upgrade in 2026. This will further improve the practical usability of privacy transactions, ensuring privacy is protected while also keeping efficiency and costs in check. In summary, this is the real direction where privacy computing can truly find its application.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
20 Likes
Reward
20
10
Repost
Share
Comment
0/400
MetaReckt
· 01-17 13:02
A 35% increase is indeed impressive, but the real implementation depends on how things turn out in 2026. It's hard to say whether market demand will still be there at that time.
View OriginalReply0
LiquidityHunter
· 01-17 11:43
Wait, a 35% increase... Is this data real? It feels like every project claims they've optimized so much.
I believe in zk proofs; directly saving Gas is really effective. But I'm worried that by 2026, people will still be bragging.
Privacy + efficiency + low cost—if we can really achieve this, our circle will take off. The key is to see how it performs after the mainnet launches.
View OriginalReply0
NFTBlackHole
· 01-17 11:02
A 35% optimization sounds good, but the mainnet won't be live until 2026? That's a long way off.
View OriginalReply0
OnchainSniper
· 01-16 21:58
A 35% increase is pretty good, but the mainnet isn't launching until 2026? How long do we have to wait, brother?
View OriginalReply0
NftDeepBreather
· 01-14 13:52
A 35% increase is indeed impressive, but the mainnet won't be launched until 2026. How long do we have to wait?
View OriginalReply0
PanicSeller
· 01-14 13:52
A 35% improvement sounds good, but it seems like these kinds of optimizations are announced every month. The real test is whether they can run smoothly once they are actually launched.
View OriginalReply0
YieldWhisperer
· 01-14 13:50
ok wait, 35% faster proofs sound nice on paper but let me actually examine the circuit... simplified design usually means they're cutting corners somewhere. what's the security model here? they always gloss over that part.
also 2026 mainnet? that's... conveniently far enough away that nobody can call you out before then lmao
Reply0
LucidSleepwalker
· 01-14 13:44
A 35% increase sounds good, but the actual launch won't happen until 2026. How long do we have to wait?
View OriginalReply0
GasOptimizer
· 01-14 13:41
A single proof for 100 transactions, now that's true capital efficiency. Gas fees can be cut by 28%, making it more practical than any privacy promotion.
View OriginalReply0
CryptoSourGrape
· 01-14 13:29
Is it going to be 2026 before the mainnet goes live again? Will I still be alive by then...
In the field of privacy computing, I recently saw a project that has made significant optimizations on the zk-SNARKs algorithm. The core improvements focus on two directions: first, enhancing efficiency, and second, reducing costs.
How exactly is this achieved? By simplifying circuit design, proof generation time can be shortened by 35%, and verification time by 28%. This level of improvement is quite noticeable. More interestingly, the new version supports batch transaction proof generation—100 privacy transactions can be combined into a single proof for processing, directly reducing Gas fees and effectively optimizing user costs.
Currently, the algorithm is running on the testnet, and it is expected to be fully deployed by the mainnet upgrade in 2026. This will further improve the practical usability of privacy transactions, ensuring privacy is protected while also keeping efficiency and costs in check. In summary, this is the real direction where privacy computing can truly find its application.