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private spot trading is live on @Sirius_Protocol.
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Social trading is the most dangerous good idea in crypto.
Follow the winners, copy their trades. Every cycle, millions show up, do exactly that, and lose money.
All parties lose, and for the same reason.
Here is what that reason is, and how to change that. 👇
"park your money with a better trader and split the upside"
the reality is a poker table where the house deals every hand: the depositor loses and the trader loses.
read more here 👇
https://t.co/I1B4FM2UAQ
📖 Stanford Blockchain Review, Vol. 8 No. 9
#79 - “Bitcoin’s Weird Clocks and Poison Blocks: The Case for BIP 54” by @zhangbaihan features a look at Bitcoin’s Consensus Cleanup Proposal and why consensus edge cases matter for Bitcoin’s long-term security.
https://t.co/Uw331KawNk
We're excited to share that we will be hosting on 5/2-5/3 the third annual Stanford Blockchain Governance Summit, a two-day in-person conference on the future of blockchain governance.
When: 5/2 and 5/3, 9AM to 6PM
Where: Stanford Law School
RSVP: https://t.co/pKMCmHudE4
hyped to head back to @Stanford next week!
for a very special lunch we’re hosting with the gigabrains @StanfordCrypto
invite-only.
we’ll be laying the blueprint for the future of crypto and how we’ll build for trillions.
if you’re on campus dm me.
Is it because every CS grad wants a 1m+ AI job? Hit me up if you are a Stanford CS grad that is actually looking for blood, sweat and tears level of work.
On our way(mo) to @Stanford for the @BNBCHAIN x @yzilabs event today!
Excited for the conversations with Profs. Zhiguo He and @RuizheJia on stablecoins, RWAs, and DeFi as financial infrastructure.
See you there: https://t.co/VminKYjWDz
📖 Stanford Blockchain Review, Vol. 8 No. 8
#78- “Poseidon: Hashes for Zero-Knowledge Proofs (A Guide for Engineers)” by @__billygao provides an engineering-level overview of Poseidon’s construction, optimizations, and security assumptions.
https://t.co/vR8G8mxKnO
To be honest, this is how I imagined prediction markets working.
You @-mention an account in a tweet, tag another user, and set initial odds at an agreed price. (basically launching a market the same way coins get launched)
That natively-embedded tweet then becomes the market. The market can be shared, like any other tweet.
When people scroll past it, they can place a bet directly. Whoever creates the market could maybe earn a split of the fees.
This feels more permissionless and viral by default.
📖 Stanford Blockchain Review, Vol. 8 No. 7
#77- “Shedding the Light(er): the Fine Prints of ZK” by @__billygao explores what @Lighter_xyz’s ZK proofs actually prove and what they don’t: ordering fairness, MEV protection, or oracle truth.
https://t.co/2fPQ8JGI1G
Stanford Blockchain is one of the most impactful student groups in the country, hosting the Science of Blockchain Conference, running the Stanford Blockchain Accelerator, and much more.
They also collaborate with top companies including @a16zcrypto, @Ethereum, and @Solana.
We’re thrilled to welcome @StanfordCrypto to MBC 2025 this December!
📖 Stanford Blockchain Review, Vol. 8 No. 6
#76 - “Cryptography Research Spotlight - An Overview of the LatticeFold Architectural Family” by Yavor from @StanfordCrypto features an in depth conversation with @danboneh on lattice-based folding schemes.
https://t.co/OwhnqBYtwZ
📖 Stanford Blockchain Review, Vol. 8 No. 5
#75- "The Business Model of Rollups (Rollup Economics 2.0)” by @uttam_singhk from @alchemy breaks down how rollups monetize through transaction fees, MEV, L3 hosting, and add-ons.
https://t.co/l98aEQpLaP